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| author | Xusong Wang <xusongw@google.com> | 2020-04-28 11:52:23 -0700 |
|---|---|---|
| committer | Xusong Wang <xusongw@google.com> | 2020-04-29 13:32:38 -0700 |
| commit | a14b3c031fa0a27873d1fdd1a759686dca9716f8 (patch) | |
| tree | f9c24d6062f98d558c8f998c0cba545dadc1c7d2 /nn | |
| parent | 6058d99f10432e2fe734c52b20ab6aa5c9308bca (diff) | |
| download | ml-a14b3c031fa0a27873d1fdd1a759686dca9716f8.tar.gz | |
Regenerate tests.
Bug: 140641425
Test: NNT_static
Change-Id: I3e037df067125b04efbd73f6d84da228d5e24f7a
Diffstat (limited to 'nn')
83 files changed, 20140 insertions, 1176 deletions
diff --git a/nn/runtime/test/generated/spec_V1_0/reshape.example.cpp b/nn/runtime/test/generated/spec_V1_0/reshape.example.cpp index 6d3e7765f..1b9ac597d 100644 --- a/nn/runtime/test/generated/spec_V1_0/reshape.example.cpp +++ b/nn/runtime/test/generated/spec_V1_0/reshape.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::reshape +namespace generated_tests::reshape { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("reshape_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::reshape + +namespace generated_tests::reshape { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("reshape_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::reshape + diff --git a/nn/runtime/test/generated/spec_V1_0/reshape_quant8.example.cpp b/nn/runtime/test/generated/spec_V1_0/reshape_quant8.example.cpp index aac9b68cb..9b01c4f63 100644 --- a/nn/runtime/test/generated/spec_V1_0/reshape_quant8.example.cpp +++ b/nn/runtime/test/generated/spec_V1_0/reshape_quant8.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::reshape_quant8 +namespace generated_tests::reshape_quant8 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("reshape_quant8_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::reshape_quant8 + +namespace generated_tests::reshape_quant8 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("reshape_quant8_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_quant8 + diff --git a/nn/runtime/test/generated/spec_V1_0/reshape_quant8_weights_as_inputs.example.cpp b/nn/runtime/test/generated/spec_V1_0/reshape_quant8_weights_as_inputs.example.cpp index 928568f0e..0fae8ca9f 100644 --- a/nn/runtime/test/generated/spec_V1_0/reshape_quant8_weights_as_inputs.example.cpp +++ b/nn/runtime/test/generated/spec_V1_0/reshape_quant8_weights_as_inputs.example.cpp @@ -4,3 +4,151 @@ #include "TestHarness.h" using namespace test_helper; +namespace generated_tests::reshape_quant8_weights_as_inputs { + +const TestModel& get_test_model() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model = TestModelManager::get().add("reshape_quant8_weights_as_inputs", get_test_model()); + +} // namespace generated_tests::reshape_quant8_weights_as_inputs + +namespace generated_tests::reshape_quant8_weights_as_inputs { + +const TestModel& get_test_model_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("reshape_quant8_weights_as_inputs_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_quant8_weights_as_inputs + diff --git a/nn/runtime/test/generated/spec_V1_0/reshape_weights_as_inputs.example.cpp b/nn/runtime/test/generated/spec_V1_0/reshape_weights_as_inputs.example.cpp index 22cf7cb24..eb8bc792f 100644 --- a/nn/runtime/test/generated/spec_V1_0/reshape_weights_as_inputs.example.cpp +++ b/nn/runtime/test/generated/spec_V1_0/reshape_weights_as_inputs.example.cpp @@ -4,3 +4,151 @@ #include "TestHarness.h" using namespace test_helper; +namespace generated_tests::reshape_weights_as_inputs { + +const TestModel& get_test_model() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model = TestModelManager::get().add("reshape_weights_as_inputs", get_test_model()); + +} // namespace generated_tests::reshape_weights_as_inputs + +namespace generated_tests::reshape_weights_as_inputs { + +const TestModel& get_test_model_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_0, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("reshape_weights_as_inputs_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_weights_as_inputs + diff --git a/nn/runtime/test/generated/spec_V1_1/mean.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean.example.cpp index 93141b4dc..bd3c63bda 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean +namespace generated_tests::mean { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.5f, 3.5f}), + .dimensions = {1, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean + +namespace generated_tests::mean { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.5f, 3.5f}), + .dimensions = {1, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean + diff --git a/nn/runtime/test/generated/spec_V1_1/mean_float_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_float_1.example.cpp index 15bee71c8..2a60edc67 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean_float_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean_float_1.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_float_1 +namespace generated_tests::mean_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({12.0f, 13.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_float_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_float_1 + +namespace generated_tests::mean_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({12.0f, 13.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_float_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_float_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/mean_float_1_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_float_1_relaxed.example.cpp index 090910e58..adf1aa15b 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean_float_1_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean_float_1_relaxed.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_float_1_relaxed +namespace generated_tests::mean_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({12.0f, 13.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_float_1_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_float_1_relaxed + +namespace generated_tests::mean_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({12.0f, 13.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_float_1_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_float_1_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/mean_float_2.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_float_2.example.cpp index af3947875..c11386637 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean_float_2.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean_float_2.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_float_2 +namespace generated_tests::mean_float_2 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({10.5f, 12.5f, 14.5f}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_float_2_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_float_2 + +namespace generated_tests::mean_float_2 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({10.5f, 12.5f, 14.5f}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_float_2_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_float_2 + diff --git a/nn/runtime/test/generated/spec_V1_1/mean_float_2_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_float_2_relaxed.example.cpp index 2a4630af9..922201e44 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean_float_2_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean_float_2_relaxed.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_float_2_relaxed +namespace generated_tests::mean_float_2_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({10.5f, 12.5f, 14.5f}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_float_2_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_float_2_relaxed + +namespace generated_tests::mean_float_2_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({10.5f, 12.5f, 14.5f}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_float_2_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_float_2_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/mean_quant8_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_quant8_1.example.cpp index 887472831..5760bdbd7 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean_quant8_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean_quant8_1.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_quant8_1 +namespace generated_tests::mean_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({12, 13}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_quant8_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_quant8_1 + +namespace generated_tests::mean_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({12, 13}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_quant8_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_quant8_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/mean_quant8_2.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_quant8_2.example.cpp index 29ddcabcd..0f24e6f40 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean_quant8_2.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean_quant8_2.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_quant8_2 +namespace generated_tests::mean_quant8_2 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({10, 12, 14}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_quant8_2_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_quant8_2 + +namespace generated_tests::mean_quant8_2 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({10, 12, 14}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 5 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_quant8_2_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_quant8_2 + diff --git a/nn/runtime/test/generated/spec_V1_1/mean_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_relaxed.example.cpp index 74e274307..526e271cd 100644 --- a/nn/runtime/test/generated/spec_V1_1/mean_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/mean_relaxed.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_relaxed +namespace generated_tests::mean_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.5f, 3.5f}), + .dimensions = {1, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_relaxed + +namespace generated_tests::mean_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.5f, 3.5f}), + .dimensions = {1, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/pad.example.cpp b/nn/runtime/test/generated/spec_V1_1/pad.example.cpp index 729d75481..701601569 100644 --- a/nn/runtime/test/generated/spec_V1_1/pad.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/pad.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad +namespace generated_tests::pad { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 1, 1, 1, 1, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 0.0f, 0.0f, 3.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 4, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad + +namespace generated_tests::pad { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 1, 1, 1, 1, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 0.0f, 0.0f, 3.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 4, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad + diff --git a/nn/runtime/test/generated/spec_V1_1/pad_float_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/pad_float_1.example.cpp index a1784146b..e0c9018e8 100644 --- a/nn/runtime/test/generated/spec_V1_1/pad_float_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/pad_float_1.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad_float_1 +namespace generated_tests::pad_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 0.0f, 0.0f, 0.0f, 0.0f, 4.0f, 5.0f, 6.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_float_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_float_1 + +namespace generated_tests::pad_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 0.0f, 0.0f, 0.0f, 0.0f, 4.0f, 5.0f, 6.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_float_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_float_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/pad_float_1_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/pad_float_1_relaxed.example.cpp index 28e214d1b..3aedb0dbb 100644 --- a/nn/runtime/test/generated/spec_V1_1/pad_float_1_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/pad_float_1_relaxed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad_float_1_relaxed +namespace generated_tests::pad_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 0.0f, 0.0f, 0.0f, 0.0f, 4.0f, 5.0f, 6.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_float_1_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_float_1_relaxed + +namespace generated_tests::pad_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 0.0f, 0.0f, 0.0f, 0.0f, 4.0f, 5.0f, 6.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_float_1_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_float_1_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/pad_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/pad_relaxed.example.cpp index 55eda8ab3..761c3bed8 100644 --- a/nn/runtime/test/generated/spec_V1_1/pad_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/pad_relaxed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad_relaxed +namespace generated_tests::pad_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 1, 1, 1, 1, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 0.0f, 0.0f, 3.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 4, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_relaxed + +namespace generated_tests::pad_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 1, 1, 1, 1, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 0.0f, 0.0f, 3.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 4, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/reshape_b138150365.example.cpp b/nn/runtime/test/generated/spec_V1_1/reshape_b138150365.example.cpp index 3ee3111ba..385772f28 100644 --- a/nn/runtime/test/generated/spec_V1_1/reshape_b138150365.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/reshape_b138150365.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::reshape_b138150365 +namespace generated_tests::reshape_b138150365 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({-1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, 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-1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f}), + .dimensions = {1, 1001}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("reshape_b138150365_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::reshape_b138150365 + +namespace generated_tests::reshape_b138150365 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 1, 1, 1001}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1001}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { 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false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("reshape_b138150365_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_b138150365 + diff --git a/nn/runtime/test/generated/spec_V1_1/reshape_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/reshape_relaxed.example.cpp index 408f88067..7f67ff8ce 100644 --- a/nn/runtime/test/generated/spec_V1_1/reshape_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/reshape_relaxed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::reshape_relaxed +namespace generated_tests::reshape_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("reshape_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::reshape_relaxed + +namespace generated_tests::reshape_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("reshape_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/reshape_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/reshape_weights_as_inputs_relaxed.example.cpp index 051f50704..d83899f5b 100644 --- a/nn/runtime/test/generated/spec_V1_1/reshape_weights_as_inputs_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/reshape_weights_as_inputs_relaxed.example.cpp @@ -4,3 +4,151 @@ #include "TestHarness.h" using namespace test_helper; +namespace generated_tests::reshape_weights_as_inputs_relaxed { + +const TestModel& get_test_model() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model = TestModelManager::get().add("reshape_weights_as_inputs_relaxed", get_test_model()); + +} // namespace generated_tests::reshape_weights_as_inputs_relaxed + +namespace generated_tests::reshape_weights_as_inputs_relaxed { + +const TestModel& get_test_model_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("reshape_weights_as_inputs_relaxed_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_weights_as_inputs_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/squeeze.example.cpp b/nn/runtime/test/generated/spec_V1_1/squeeze.example.cpp index 6dd385bcd..b5533c57d 100644 --- a/nn/runtime/test/generated/spec_V1_1/squeeze.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/squeeze.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::squeeze +namespace generated_tests::squeeze { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("squeeze_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::squeeze + +namespace generated_tests::squeeze { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("squeeze_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::squeeze + diff --git a/nn/runtime/test/generated/spec_V1_1/squeeze_float_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/squeeze_float_1.example.cpp index 761faae57..14795c1ed 100644 --- a/nn/runtime/test/generated/spec_V1_1/squeeze_float_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/squeeze_float_1.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::squeeze_float_1 +namespace generated_tests::squeeze_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("squeeze_float_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::squeeze_float_1 + +namespace generated_tests::squeeze_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("squeeze_float_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::squeeze_float_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/squeeze_float_1_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/squeeze_float_1_relaxed.example.cpp index 77f28e494..746cd54e9 100644 --- a/nn/runtime/test/generated/spec_V1_1/squeeze_float_1_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/squeeze_float_1_relaxed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::squeeze_float_1_relaxed +namespace generated_tests::squeeze_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("squeeze_float_1_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::squeeze_float_1_relaxed + +namespace generated_tests::squeeze_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("squeeze_float_1_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::squeeze_float_1_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/squeeze_quant8_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/squeeze_quant8_1.example.cpp index 20c560cce..ec3349b56 100644 --- a/nn/runtime/test/generated/spec_V1_1/squeeze_quant8_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/squeeze_quant8_1.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::squeeze_quant8_1 +namespace generated_tests::squeeze_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("squeeze_quant8_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::squeeze_quant8_1 + +namespace generated_tests::squeeze_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("squeeze_quant8_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::squeeze_quant8_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/squeeze_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/squeeze_relaxed.example.cpp index 37f3afb5a..17946102b 100644 --- a/nn/runtime/test/generated/spec_V1_1/squeeze_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/squeeze_relaxed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::squeeze_relaxed +namespace generated_tests::squeeze_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("squeeze_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::squeeze_relaxed + +namespace generated_tests::squeeze_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("squeeze_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::squeeze_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice.example.cpp index 96b14ba55..6359a739a 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice +namespace generated_tests::strided_slice { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice + +namespace generated_tests::strided_slice { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1.example.cpp index 837bc1c4c..c3e65dc27 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_1 +namespace generated_tests::strided_slice_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_1 + +namespace generated_tests::strided_slice_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10.example.cpp index 861391bd9..a2ef66300 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_10 +namespace generated_tests::strided_slice_float_10 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_10_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_10 + +namespace generated_tests::strided_slice_float_10 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_10_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_10 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10_relaxed.example.cpp index 1bb85ee48..e9c220f8b 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_10_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_10_relaxed +namespace generated_tests::strided_slice_float_10_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_10_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_10_relaxed + +namespace generated_tests::strided_slice_float_10_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_10_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_10_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11.example.cpp index 9f30f0daf..12feb17c8 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_11 +namespace generated_tests::strided_slice_float_11 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_11_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_11 + +namespace generated_tests::strided_slice_float_11 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_11_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_11 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11_relaxed.example.cpp index 992a265bd..6bc4c9a0f 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_11_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_11_relaxed +namespace generated_tests::strided_slice_float_11_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_11_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_11_relaxed + +namespace generated_tests::strided_slice_float_11_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_11_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_11_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1_relaxed.example.cpp index 0e7fcdc73..75ca08dfd 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_1_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_1_relaxed +namespace generated_tests::strided_slice_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_1_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_1_relaxed + +namespace generated_tests::strided_slice_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_1_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_1_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2.example.cpp index e0cbf8130..09886978a 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_2 +namespace generated_tests::strided_slice_float_2 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_2_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_2 + +namespace generated_tests::strided_slice_float_2 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_2_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_2 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2_relaxed.example.cpp index 875df61a3..e8b622ec7 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_2_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_2_relaxed +namespace generated_tests::strided_slice_float_2_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_2_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_2_relaxed + +namespace generated_tests::strided_slice_float_2_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_2_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_2_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3.example.cpp index c791053ef..556bea1a3 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_3 +namespace generated_tests::strided_slice_float_3 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_3_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_3 + +namespace generated_tests::strided_slice_float_3 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_3_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_3 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3_relaxed.example.cpp index 29a5c4406..6922abc45 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_3_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_3_relaxed +namespace generated_tests::strided_slice_float_3_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_3_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_3_relaxed + +namespace generated_tests::strided_slice_float_3_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_3_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_3_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4.example.cpp index 137a2d7b7..1c9266e15 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_4 +namespace generated_tests::strided_slice_float_4 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_4_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_4 + +namespace generated_tests::strided_slice_float_4 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_4_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_4 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4_relaxed.example.cpp index 6bf97f4c3..881176fe9 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_4_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_4_relaxed +namespace generated_tests::strided_slice_float_4_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_4_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_4_relaxed + +namespace generated_tests::strided_slice_float_4_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_4_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_4_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5.example.cpp index 90a2dc5d0..a579226b5 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_5 +namespace generated_tests::strided_slice_float_5 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_5_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_5 + +namespace generated_tests::strided_slice_float_5 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_5_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_5 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5_relaxed.example.cpp index fbbb81fd9..49d4bdd01 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_5_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_5_relaxed +namespace generated_tests::strided_slice_float_5_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_5_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_5_relaxed + +namespace generated_tests::strided_slice_float_5_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_5_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_5_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6.example.cpp index 7e5086c07..67528dd54 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_6 +namespace generated_tests::strided_slice_float_6 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f, 4.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_6_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_6 + +namespace generated_tests::strided_slice_float_6 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f, 4.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_6_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_6 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6_relaxed.example.cpp index b63879281..5155a1ab9 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_6_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_6_relaxed +namespace generated_tests::strided_slice_float_6_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f, 4.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_6_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_6_relaxed + +namespace generated_tests::strided_slice_float_6_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f, 4.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_6_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_6_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7.example.cpp index 394965a06..8b2ac494e 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_7 +namespace generated_tests::strided_slice_float_7 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({3.0f, 2.0f, 1.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_7_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_7 + +namespace generated_tests::strided_slice_float_7 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({3.0f, 2.0f, 1.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_7_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_7 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7_relaxed.example.cpp index f733ee54d..39ba45870 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_7_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_7_relaxed +namespace generated_tests::strided_slice_float_7_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({3.0f, 2.0f, 1.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_7_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_7_relaxed + +namespace generated_tests::strided_slice_float_7_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({3.0f, 2.0f, 1.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_7_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_7_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8.example.cpp index ddbac2e9c..f8d280d7d 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_8 +namespace generated_tests::strided_slice_float_8 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({6.0f, 5.0f, 4.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_8_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_8 + +namespace generated_tests::strided_slice_float_8 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({6.0f, 5.0f, 4.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_8_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_8 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8_relaxed.example.cpp index 2bb360112..88544138e 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_8_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_8_relaxed +namespace generated_tests::strided_slice_float_8_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({6.0f, 5.0f, 4.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_8_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_8_relaxed + +namespace generated_tests::strided_slice_float_8_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({6.0f, 5.0f, 4.0f}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_8_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_8_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9.example.cpp index 078eb842c..eca07da6c 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_9 +namespace generated_tests::strided_slice_float_9 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 4.0f, 5.0f}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_9_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_9 + +namespace generated_tests::strided_slice_float_9 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 4.0f, 5.0f}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_9_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_9 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9_relaxed.example.cpp index cdd0987c7..68450a4d4 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_float_9_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float_9_relaxed +namespace generated_tests::strided_slice_float_9_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 4.0f, 5.0f}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float_9_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float_9_relaxed + +namespace generated_tests::strided_slice_float_9_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 4.0f, 5.0f}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_9_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float_9_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_10.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_10.example.cpp index bf315f55e..aa7efd27a 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_10.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_10.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_qaunt8_10 +namespace generated_tests::strided_slice_qaunt8_10 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({4, 5, 6}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_qaunt8_10_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_qaunt8_10 + +namespace generated_tests::strided_slice_qaunt8_10 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({4, 5, 6}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_qaunt8_10_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_qaunt8_10 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_11.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_11.example.cpp index e8998ec55..1271b4b63 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_11.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_qaunt8_11.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_qaunt8_11 +namespace generated_tests::strided_slice_qaunt8_11 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_qaunt8_11_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_qaunt8_11 + +namespace generated_tests::strided_slice_qaunt8_11 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_qaunt8_11_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_qaunt8_11 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_1.example.cpp index 332184107..232d400e0 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_1.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_1 +namespace generated_tests::strided_slice_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_1 + +namespace generated_tests::strided_slice_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_2.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_2.example.cpp index 780b93b9c..c7b82608a 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_2.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_2.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_2 +namespace generated_tests::strided_slice_quant8_2 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_2_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_2 + +namespace generated_tests::strided_slice_quant8_2 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_2_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_2 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_3.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_3.example.cpp index 7323aa3bf..2281d02d0 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_3.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_3.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_3 +namespace generated_tests::strided_slice_quant8_3 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_3_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_3 + +namespace generated_tests::strided_slice_quant8_3 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_3_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_3 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_4.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_4.example.cpp index 714f3b857..cfb69d8f8 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_4.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_4.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_4 +namespace generated_tests::strided_slice_quant8_4 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_4_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_4 + +namespace generated_tests::strided_slice_quant8_4 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_4_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_4 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_5.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_5.example.cpp index 860b08ca1..802e27d96 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_5.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_5.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_5 +namespace generated_tests::strided_slice_quant8_5 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_5_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_5 + +namespace generated_tests::strided_slice_quant8_5 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_5_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_5 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_6.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_6.example.cpp index 926cbb098..b39b4a88c 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_6.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_6.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_6 +namespace generated_tests::strided_slice_quant8_6 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2, 3, 4}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_6_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_6 + +namespace generated_tests::strided_slice_quant8_6 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({2, 3, 4}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_6_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_6 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_7.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_7.example.cpp index 4bfe511c4..539c81a91 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_7.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_7.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_7 +namespace generated_tests::strided_slice_quant8_7 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({3, 2, 1}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_7_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_7 + +namespace generated_tests::strided_slice_quant8_7 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({3, 2, 1}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_7_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_7 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_8.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_8.example.cpp index 8179e5efa..7749d5219 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_8.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_8.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_8 +namespace generated_tests::strided_slice_quant8_8 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({6, 5, 4}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_8_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_8 + +namespace generated_tests::strided_slice_quant8_8 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({6, 5, 4}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_8_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_8 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_9.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_9.example.cpp index df8ff7b66..3fe4fe229 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_9.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_quant8_9.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_quant8_9 +namespace generated_tests::strided_slice_quant8_9 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 4, 5}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_9_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_9 + +namespace generated_tests::strided_slice_quant8_9 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 4, 5}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_9_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_9 + diff --git a/nn/runtime/test/generated/spec_V1_1/strided_slice_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/strided_slice_relaxed.example.cpp index 17d0639e5..f9a9c0990 100644 --- a/nn/runtime/test/generated/spec_V1_1/strided_slice_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/strided_slice_relaxed.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_relaxed +namespace generated_tests::strided_slice_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_relaxed + +namespace generated_tests::strided_slice_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/transpose.example.cpp b/nn/runtime/test/generated/spec_V1_1/transpose.example.cpp index a9ea96732..c398eff1b 100644 --- a/nn/runtime/test/generated/spec_V1_1/transpose.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/transpose.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::transpose +namespace generated_tests::transpose { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f, 2.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::transpose + +namespace generated_tests::transpose { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f, 2.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::transpose + diff --git a/nn/runtime/test/generated/spec_V1_1/transpose_float_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/transpose_float_1.example.cpp index 3fcf7fee2..e7bfe8945 100644 --- a/nn/runtime/test/generated/spec_V1_1/transpose_float_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/transpose_float_1.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::transpose_float_1 +namespace generated_tests::transpose_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_float_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::transpose_float_1 + +namespace generated_tests::transpose_float_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_float_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::transpose_float_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/transpose_float_1_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/transpose_float_1_relaxed.example.cpp index 4413318b7..1da44d1cb 100644 --- a/nn/runtime/test/generated/spec_V1_1/transpose_float_1_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/transpose_float_1_relaxed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::transpose_float_1_relaxed +namespace generated_tests::transpose_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_float_1_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::transpose_float_1_relaxed + +namespace generated_tests::transpose_float_1_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_float_1_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::transpose_float_1_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_1/transpose_quant8_1.example.cpp b/nn/runtime/test/generated/spec_V1_1/transpose_quant8_1.example.cpp index a7e75459e..5819c6517 100644 --- a/nn/runtime/test/generated/spec_V1_1/transpose_quant8_1.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/transpose_quant8_1.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::transpose_quant8_1 +namespace generated_tests::transpose_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 2, 3, 4, 20, 21, 22, 23, 24, 40, 41, 42, 43, 44, 60, 61, 62, 63, 64, 80, 81, 82, 83, 84, 100, 101, 102, 103, 104, 5, 6, 7, 8, 9, 25, 26, 27, 28, 29, 45, 46, 47, 48, 49, 65, 66, 67, 68, 69, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 10, 11, 12, 13, 14, 30, 31, 32, 33, 34, 50, 51, 52, 53, 54, 70, 71, 72, 73, 74, 90, 91, 92, 93, 94, 110, 111, 112, 113, 114, 15, 16, 17, 18, 19, 35, 36, 37, 38, 39, 55, 56, 57, 58, 59, 75, 76, 77, 78, 79, 95, 96, 97, 98, 99, 115, 116, 117, 118, 119}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_quant8_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::transpose_quant8_1 + +namespace generated_tests::transpose_quant8_1 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 2, 3, 4, 20, 21, 22, 23, 24, 40, 41, 42, 43, 44, 60, 61, 62, 63, 64, 80, 81, 82, 83, 84, 100, 101, 102, 103, 104, 5, 6, 7, 8, 9, 25, 26, 27, 28, 29, 45, 46, 47, 48, 49, 65, 66, 67, 68, 69, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 10, 11, 12, 13, 14, 30, 31, 32, 33, 34, 50, 51, 52, 53, 54, 70, 71, 72, 73, 74, 90, 91, 92, 93, 94, 110, 111, 112, 113, 114, 15, 16, 17, 18, 19, 35, 36, 37, 38, 39, 55, 56, 57, 58, 59, 75, 76, 77, 78, 79, 95, 96, 97, 98, 99, 115, 116, 117, 118, 119}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_quant8_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::transpose_quant8_1 + diff --git a/nn/runtime/test/generated/spec_V1_1/transpose_relaxed.example.cpp b/nn/runtime/test/generated/spec_V1_1/transpose_relaxed.example.cpp index bf7c853f1..c8c8376c1 100644 --- a/nn/runtime/test/generated/spec_V1_1/transpose_relaxed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_1/transpose_relaxed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::transpose_relaxed +namespace generated_tests::transpose_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f, 2.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::transpose_relaxed + +namespace generated_tests::transpose_relaxed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 3.0f, 2.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::transpose_relaxed + diff --git a/nn/runtime/test/generated/spec_V1_2/mean_float16.example.cpp b/nn/runtime/test/generated/spec_V1_2/mean_float16.example.cpp index 2720d0190..be935ea0a 100644 --- a/nn/runtime/test/generated/spec_V1_2/mean_float16.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/mean_float16.example.cpp @@ -172,3 +172,171 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::mean_float16 +namespace generated_tests::mean_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.5f, 3.5f}), + .dimensions = {1, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_float16_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_float16 + +namespace generated_tests::mean_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.5f, 3.5f}), + .dimensions = {1, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_float16 + diff --git a/nn/runtime/test/generated/spec_V1_2/pad_all_dims.example.cpp b/nn/runtime/test/generated/spec_V1_2/pad_all_dims.example.cpp index d5f3f5541..5ac39daaf 100644 --- a/nn/runtime/test/generated/spec_V1_2/pad_all_dims.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/pad_all_dims.example.cpp @@ -154,6 +154,154 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::pad_all_dims { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // 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generated_tests::pad_all_dims { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 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1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_all_dims_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_all_dims + +namespace generated_tests::pad_all_dims { + const TestModel& get_test_model_float16() { static TestModel model = { .expectFailure = false, @@ -258,7 +406,7 @@ const TestModel& get_test_model_float16_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT16, .zeroPoint = 0 - }, { // dummy1 + }, { // dummy2 .channelQuant = {}, .data = TestBuffer::createFromVector<_Float16>({0.0f}), .dimensions = {1}, @@ -268,7 +416,7 @@ const TestModel& get_test_model_float16_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT16, .zeroPoint = 0 - }, { // param1 + }, { // param2 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -302,6 +450,154 @@ const auto dummy_test_model_float16_all_inputs_as_internal = TestModelManager::g namespace generated_tests::pad_all_dims { +const TestModel& get_test_model_float16_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 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0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {4, 8, 8, 6}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_float16_all_tensors_as_inputs = TestModelManager::get().add("pad_all_dims_float16_all_tensors_as_inputs", get_test_model_float16_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_all_dims + +namespace generated_tests::pad_all_dims { + +const TestModel& get_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 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.isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_all_dims_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_all_dims + +namespace generated_tests::pad_all_dims { + const TestModel& get_test_model_relaxed() { static TestModel model = { .expectFailure = false, @@ -406,7 +702,7 @@ const TestModel& get_test_model_relaxed_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT32, .zeroPoint = 0 - }, { // dummy2 + }, { // dummy4 .channelQuant = {}, .data = TestBuffer::createFromVector<float>({0.0f}), .dimensions = {1}, @@ -416,7 +712,7 @@ const TestModel& get_test_model_relaxed_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT32, .zeroPoint = 0 - }, { // param2 + }, { // param4 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -450,6 +746,154 @@ const auto dummy_test_model_relaxed_all_inputs_as_internal = TestModelManager::g namespace generated_tests::pad_all_dims { +const TestModel& get_test_model_relaxed_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 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+ }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_relaxed_all_tensors_as_inputs = TestModelManager::get().add("pad_all_dims_relaxed_all_tensors_as_inputs", get_test_model_relaxed_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_all_dims + +namespace generated_tests::pad_all_dims { + +const TestModel& get_test_model_relaxed_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = true, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 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TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::UNKNOWN, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_relaxed_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_all_dims_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_relaxed_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_all_dims + +namespace generated_tests::pad_all_dims { + const TestModel& get_test_model_quant8() { static TestModel model = { .expectFailure = false, @@ -554,7 +998,7 @@ const TestModel& get_test_model_quant8_all_inputs_as_internal() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM, .zeroPoint = 0 - }, { // dummy3 + }, { // dummy6 .channelQuant = {}, .data = TestBuffer::createFromVector<uint8_t>({0}), .dimensions = {1}, @@ -564,7 +1008,7 @@ const TestModel& get_test_model_quant8_all_inputs_as_internal() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM, .zeroPoint = 0 - }, { // param3 + }, { // param6 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -596,3 +1040,151 @@ const auto dummy_test_model_quant8_all_inputs_as_internal = TestModelManager::ge } // namespace generated_tests::pad_all_dims +namespace generated_tests::pad_all_dims { + +const TestModel& get_test_model_quant8_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 1, 2, 2, 3}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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.isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_quant8_all_tensors_as_inputs = TestModelManager::get().add("pad_all_dims_quant8_all_tensors_as_inputs", get_test_model_quant8_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_all_dims + +namespace generated_tests::pad_all_dims { + +const TestModel& get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}), + .dimensions = {4, 8, 8, 6}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 1, 2, 2, 3}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_all_dims_quant8_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_all_dims + diff --git a/nn/runtime/test/generated/spec_V1_2/pad_float16.example.cpp b/nn/runtime/test/generated/spec_V1_2/pad_float16.example.cpp index 7a00bc6ab..591b38962 100644 --- a/nn/runtime/test/generated/spec_V1_2/pad_float16.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/pad_float16.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad_float16 +namespace generated_tests::pad_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 1, 1, 1, 1, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 0.0f, 0.0f, 3.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 4, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_float16_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_float16 + +namespace generated_tests::pad_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 1, 1, 1, 1, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 0.0f, 0.0f, 3.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}), + .dimensions = {1, 4, 4, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_float16 + diff --git a/nn/runtime/test/generated/spec_V1_2/pad_low_rank.example.cpp b/nn/runtime/test/generated/spec_V1_2/pad_low_rank.example.cpp index a5808317f..f690ca37f 100644 --- a/nn/runtime/test/generated/spec_V1_2/pad_low_rank.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/pad_low_rank.example.cpp @@ -154,6 +154,154 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::pad_low_rank { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 3.0f, 0.0f}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_low_rank_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_low_rank + +namespace generated_tests::pad_low_rank { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 3.0f, 0.0f}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_low_rank_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_low_rank + +namespace generated_tests::pad_low_rank { + const TestModel& get_test_model_float16() { static TestModel model = { .expectFailure = false, @@ -258,7 +406,7 @@ const TestModel& get_test_model_float16_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT16, .zeroPoint = 0 - }, { // dummy1 + }, { // dummy2 .channelQuant = {}, .data = TestBuffer::createFromVector<_Float16>({0.0f}), .dimensions = {1}, @@ -268,7 +416,7 @@ const TestModel& get_test_model_float16_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT16, .zeroPoint = 0 - }, { // param1 + }, { // param2 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -300,3 +448,151 @@ const auto dummy_test_model_float16_all_inputs_as_internal = TestModelManager::g } // namespace generated_tests::pad_low_rank +namespace generated_tests::pad_low_rank { + +const TestModel& get_test_model_float16_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 3.0f, 0.0f}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_float16_all_tensors_as_inputs = TestModelManager::get().add("pad_low_rank_float16_all_tensors_as_inputs", get_test_model_float16_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_low_rank + +namespace generated_tests::pad_low_rank { + +const TestModel& get_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 3.0f, 0.0f}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_low_rank_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_low_rank + diff --git a/nn/runtime/test/generated/spec_V1_2/pad_low_rank_quant8.example.cpp b/nn/runtime/test/generated/spec_V1_2/pad_low_rank_quant8.example.cpp index 5f08eb48a..f0fa558a0 100644 --- a/nn/runtime/test/generated/spec_V1_2/pad_low_rank_quant8.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/pad_low_rank_quant8.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad_low_rank_quant8 +namespace generated_tests::pad_low_rank_quant8 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 0, 0, 1, 2, 3, 0}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_low_rank_quant8_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_low_rank_quant8 + +namespace generated_tests::pad_low_rank_quant8 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 0, 0, 1, 2, 3, 0}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_low_rank_quant8_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_low_rank_quant8 + diff --git a/nn/runtime/test/generated/spec_V1_2/pad_quant8.example.cpp b/nn/runtime/test/generated/spec_V1_2/pad_quant8.example.cpp index 9a472dcbf..0d97ce097 100644 --- a/nn/runtime/test/generated/spec_V1_2/pad_quant8.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/pad_quant8.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad_quant8 +namespace generated_tests::pad_quant8 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 2, 3, 0, 0, 0, 0, 4, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_quant8_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_quant8 + +namespace generated_tests::pad_quant8 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0, 1, 2, 3, 0, 0, 0, 0, 4, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({0}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_quant8_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_quant8 + diff --git a/nn/runtime/test/generated/spec_V1_2/pad_quant8_nonzero.example.cpp b/nn/runtime/test/generated/spec_V1_2/pad_quant8_nonzero.example.cpp index 2755a3fdd..6515217b5 100644 --- a/nn/runtime/test/generated/spec_V1_2/pad_quant8_nonzero.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/pad_quant8_nonzero.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::pad_quant8_nonzero +namespace generated_tests::pad_quant8_nonzero { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 9 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({9, 1, 2, 3, 9, 9, 9, 9, 4, 5, 6, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 9 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_quant8_nonzero_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_quant8_nonzero + +namespace generated_tests::pad_quant8_nonzero { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 9 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({9, 1, 2, 3, 9, 9, 9, 9, 4, 5, 6, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 9 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 9 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<uint8_t>({9}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM, + .zeroPoint = 9 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_quant8_nonzero_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_quant8_nonzero + diff --git a/nn/runtime/test/generated/spec_V1_2/reshape_float16.example.cpp b/nn/runtime/test/generated/spec_V1_2/reshape_float16.example.cpp index e310ce189..557bb8aa7 100644 --- a/nn/runtime/test/generated/spec_V1_2/reshape_float16.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/reshape_float16.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::reshape_float16 +namespace generated_tests::reshape_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("reshape_float16_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::reshape_float16 + +namespace generated_tests::reshape_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("reshape_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_float16 + diff --git a/nn/runtime/test/generated/spec_V1_2/squeeze_float16.example.cpp b/nn/runtime/test/generated/spec_V1_2/squeeze_float16.example.cpp index 00d4ab88f..bb458b291 100644 --- a/nn/runtime/test/generated/spec_V1_2/squeeze_float16.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/squeeze_float16.example.cpp @@ -154,6 +154,154 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::squeeze_float16 { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("squeeze_float16_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::squeeze_float16 + +namespace generated_tests::squeeze_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}), + .dimensions = {4, 1, 1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("squeeze_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::squeeze_float16 + +namespace generated_tests::squeeze_float16 { + const TestModel& get_test_model_omitted() { static TestModel model = { .expectFailure = false, @@ -258,7 +406,7 @@ const TestModel& get_test_model_omitted_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT16, .zeroPoint = 0 - }, { // dummy1 + }, { // dummy2 .channelQuant = {}, .data = TestBuffer::createFromVector<_Float16>({0.0f}), .dimensions = {1}, @@ -268,7 +416,7 @@ const TestModel& get_test_model_omitted_all_inputs_as_internal() { .scale = 0.0f, .type = TestOperandType::TENSOR_FLOAT16, .zeroPoint = 0 - }, { // param1 + }, { // param2 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, diff --git a/nn/runtime/test/generated/spec_V1_2/strided_slice_float16.example.cpp b/nn/runtime/test/generated/spec_V1_2/strided_slice_float16.example.cpp index 52b1b116d..8c39eba7a 100644 --- a/nn/runtime/test/generated/spec_V1_2/strided_slice_float16.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/strided_slice_float16.example.cpp @@ -252,3 +252,251 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::strided_slice_float16 +namespace generated_tests::strided_slice_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 3.0f}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_float16_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_float16 + +namespace generated_tests::strided_slice_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 3.0f}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_float16 + diff --git a/nn/runtime/test/generated/spec_V1_2/strided_slice_invalid_output_dims.example.cpp b/nn/runtime/test/generated/spec_V1_2/strided_slice_invalid_output_dims.example.cpp new file mode 100644 index 000000000..f164c190a --- /dev/null +++ b/nn/runtime/test/generated/spec_V1_2/strided_slice_invalid_output_dims.example.cpp @@ -0,0 +1,502 @@ +// Generated from strided_slice_invalid_output_dims.mod.py +// DO NOT EDIT +// clang-format off +#include "TestHarness.h" +using namespace test_helper; + +namespace generated_tests::strided_slice_invalid_output_dims { + +const TestModel& get_test_model() { + static TestModel model = { + .expectFailure = true, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model = TestModelManager::get().add("strided_slice_invalid_output_dims", get_test_model()); + +} // namespace generated_tests::strided_slice_invalid_output_dims + +namespace generated_tests::strided_slice_invalid_output_dims { + +const TestModel& get_test_model_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = true, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("strided_slice_invalid_output_dims_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_invalid_output_dims + +namespace generated_tests::strided_slice_invalid_output_dims { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = true, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_invalid_output_dims_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_invalid_output_dims + +namespace generated_tests::strided_slice_invalid_output_dims { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = true, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_invalid_output_dims_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_invalid_output_dims + diff --git a/nn/runtime/test/generated/spec_V1_2/transpose_float16.example.cpp b/nn/runtime/test/generated/spec_V1_2/transpose_float16.example.cpp index 5d1423fa4..73ba86250 100644 --- a/nn/runtime/test/generated/spec_V1_2/transpose_float16.example.cpp +++ b/nn/runtime/test/generated/spec_V1_2/transpose_float16.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::transpose_float16 +namespace generated_tests::transpose_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 3.0f, 2.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_float16_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::transpose_float16 + +namespace generated_tests::transpose_float16 { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 3.0f, 2.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}), + .dimensions = {1, 2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<_Float16>({0.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT16, + .zeroPoint = 0 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_2, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::transpose_float16 + diff --git a/nn/runtime/test/generated/spec_V1_3/if_no_value.example.cpp b/nn/runtime/test/generated/spec_V1_3/if_no_value.example.cpp index 89eaed88d..aace2a9fe 100644 --- a/nn/runtime/test/generated/spec_V1_3/if_no_value.example.cpp +++ b/nn/runtime/test/generated/spec_V1_3/if_no_value.example.cpp @@ -191,191 +191,6 @@ const auto dummy_test_model = TestModelManager::get().add("if_no_value", get_tes namespace generated_tests::if_no_value { -const TestModel& get_test_model_all_tensors_as_inputs() { - static TestModel model = { - .expectFailure = true, - .expectedMultinomialDistributionTolerance = 0, - .isRelaxed = false, - .main = { - .inputIndexes = {0, 3, 4}, - .operands = {{ // cond - .channelQuant = {}, - .data = TestBuffer::createFromVector<bool8>({}), - .dimensions = {1}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_BOOL8, - .zeroPoint = 0 - }, { // param2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // param3 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({1}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // x - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // y - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // z - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2, 3, 4}, - .outputs = {5}, - .type = TestOperationType::IF - }}, - .outputIndexes = {5} - }, - .minSupportedVersion = TestHalVersion::V1_3, - .referenced = {{ // param - .inputIndexes = {0, 1}, - .operands = {{ // x1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // y1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // param - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::ADD - }}, - .outputIndexes = {3} - }, { // param - .inputIndexes = {0, 1}, - .operands = {{ // x2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // y2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // param1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::SUB - }}, - .outputIndexes = {3} - }} - }; - return model; -} - -const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("if_no_value_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); - -} // namespace generated_tests::if_no_value - -namespace generated_tests::if_no_value { - const TestModel& get_test_model_relaxed() { static TestModel model = { .expectFailure = true, @@ -561,191 +376,6 @@ const auto dummy_test_model_relaxed = TestModelManager::get().add("if_no_value_r namespace generated_tests::if_no_value { -const TestModel& get_test_model_relaxed_all_tensors_as_inputs() { - static TestModel model = { - .expectFailure = true, - .expectedMultinomialDistributionTolerance = 0, - .isRelaxed = true, - .main = { - .inputIndexes = {0, 3, 4}, - .operands = {{ // cond - .channelQuant = {}, - .data = TestBuffer::createFromVector<bool8>({}), - .dimensions = {1}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_BOOL8, - .zeroPoint = 0 - }, { // param2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // param3 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({1}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // x - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // y - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // z - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2, 3, 4}, - .outputs = {5}, - .type = TestOperationType::IF - }}, - .outputIndexes = {5} - }, - .minSupportedVersion = TestHalVersion::UNKNOWN, - .referenced = {{ // param - .inputIndexes = {0, 1}, - .operands = {{ // x1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // y1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // param - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::ADD - }}, - .outputIndexes = {3} - }, { // param - .inputIndexes = {0, 1}, - .operands = {{ // x2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // y2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }, { // param1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<float>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::SUB - }}, - .outputIndexes = {3} - }} - }; - return model; -} - -const auto dummy_test_model_relaxed_all_tensors_as_inputs = TestModelManager::get().add("if_no_value_relaxed_all_tensors_as_inputs", get_test_model_relaxed_all_tensors_as_inputs()); - -} // namespace generated_tests::if_no_value - -namespace generated_tests::if_no_value { - const TestModel& get_test_model_float16() { static TestModel model = { .expectFailure = true, @@ -931,191 +561,6 @@ const auto dummy_test_model_float16 = TestModelManager::get().add("if_no_value_f namespace generated_tests::if_no_value { -const TestModel& get_test_model_float16_all_tensors_as_inputs() { - static TestModel model = { - .expectFailure = true, - .expectedMultinomialDistributionTolerance = 0, - .isRelaxed = false, - .main = { - .inputIndexes = {0, 3, 4}, - .operands = {{ // cond - .channelQuant = {}, - .data = TestBuffer::createFromVector<bool8>({}), - .dimensions = {1}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_BOOL8, - .zeroPoint = 0 - }, { // param2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // param3 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({1}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // x - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }, { // y - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }, { // z - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2, 3, 4}, - .outputs = {5}, - .type = TestOperationType::IF - }}, - .outputIndexes = {5} - }, - .minSupportedVersion = TestHalVersion::V1_3, - .referenced = {{ // param - .inputIndexes = {0, 1}, - .operands = {{ // x1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }, { // y1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }, { // param - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::ADD - }}, - .outputIndexes = {3} - }, { // param - .inputIndexes = {0, 1}, - .operands = {{ // x2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }, { // y2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }, { // param1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<_Float16>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_FLOAT16, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::SUB - }}, - .outputIndexes = {3} - }} - }; - return model; -} - -const auto dummy_test_model_float16_all_tensors_as_inputs = TestModelManager::get().add("if_no_value_float16_all_tensors_as_inputs", get_test_model_float16_all_tensors_as_inputs()); - -} // namespace generated_tests::if_no_value - -namespace generated_tests::if_no_value { - const TestModel& get_test_model_int32() { static TestModel model = { .expectFailure = true, @@ -1301,191 +746,6 @@ const auto dummy_test_model_int32 = TestModelManager::get().add("if_no_value_int namespace generated_tests::if_no_value { -const TestModel& get_test_model_int32_all_tensors_as_inputs() { - static TestModel model = { - .expectFailure = true, - .expectedMultinomialDistributionTolerance = 0, - .isRelaxed = false, - .main = { - .inputIndexes = {0, 3, 4}, - .operands = {{ // cond - .channelQuant = {}, - .data = TestBuffer::createFromVector<bool8>({}), - .dimensions = {1}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_BOOL8, - .zeroPoint = 0 - }, { // param2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // param3 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({1}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // x - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }, { // y - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({8, 7, 6, 5, 4, 3, 2, 1, 0, -1, -2, -3}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }, { // z - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({8, 7, 6, 5, 4, 3, 2, 1, 0, -1, -2, -3}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2, 3, 4}, - .outputs = {5}, - .type = TestOperationType::IF - }}, - .outputIndexes = {5} - }, - .minSupportedVersion = TestHalVersion::V1_3, - .referenced = {{ // param - .inputIndexes = {0, 1}, - .operands = {{ // x1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }, { // y1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }, { // param - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::ADD - }}, - .outputIndexes = {3} - }, { // param - .inputIndexes = {0, 1}, - .operands = {{ // x2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }, { // y2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }, { // param1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 0.0f, - .type = TestOperandType::TENSOR_INT32, - .zeroPoint = 0 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::SUB - }}, - .outputIndexes = {3} - }} - }; - return model; -} - -const auto dummy_test_model_int32_all_tensors_as_inputs = TestModelManager::get().add("if_no_value_int32_all_tensors_as_inputs", get_test_model_int32_all_tensors_as_inputs()); - -} // namespace generated_tests::if_no_value - -namespace generated_tests::if_no_value { - const TestModel& get_test_model_quant8() { static TestModel model = { .expectFailure = true, @@ -1671,191 +931,6 @@ const auto dummy_test_model_quant8 = TestModelManager::get().add("if_no_value_qu namespace generated_tests::if_no_value { -const TestModel& get_test_model_quant8_all_tensors_as_inputs() { - static TestModel model = { - .expectFailure = true, - .expectedMultinomialDistributionTolerance = 0, - .isRelaxed = false, - .main = { - .inputIndexes = {0, 3, 4}, - .operands = {{ // cond - .channelQuant = {}, - .data = TestBuffer::createFromVector<bool8>({}), - .dimensions = {1}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_BOOL8, - .zeroPoint = 0 - }, { // param2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // param3 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({1}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // x - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }, { // y - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({108, 107, 106, 105, 104, 103, 102, 101, 100, 99, 98, 97}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }, { // z - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({108, 107, 106, 105, 104, 103, 102, 101, 100, 99, 98, 97}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }}, - .operations = {{ - .inputs = {0, 1, 2, 3, 4}, - .outputs = {5}, - .type = TestOperationType::IF - }}, - .outputIndexes = {5} - }, - .minSupportedVersion = TestHalVersion::V1_3, - .referenced = {{ // param - .inputIndexes = {0, 1}, - .operands = {{ // x1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }, { // y1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }, { // param - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::ADD - }}, - .outputIndexes = {3} - }, { // param - .inputIndexes = {0, 1}, - .operands = {{ // x2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }, { // y2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }, { // param1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM, - .zeroPoint = 100 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::SUB - }}, - .outputIndexes = {3} - }} - }; - return model; -} - -const auto dummy_test_model_quant8_all_tensors_as_inputs = TestModelManager::get().add("if_no_value_quant8_all_tensors_as_inputs", get_test_model_quant8_all_tensors_as_inputs()); - -} // namespace generated_tests::if_no_value - -namespace generated_tests::if_no_value { - const TestModel& get_test_model_quant8_signed() { static TestModel model = { .expectFailure = true, @@ -2039,188 +1114,3 @@ const auto dummy_test_model_quant8_signed = TestModelManager::get().add("if_no_v } // namespace generated_tests::if_no_value -namespace generated_tests::if_no_value { - -const TestModel& get_test_model_quant8_signed_all_tensors_as_inputs() { - static TestModel model = { - .expectFailure = true, - .expectedMultinomialDistributionTolerance = 0, - .isRelaxed = false, - .main = { - .inputIndexes = {0, 3, 4}, - .operands = {{ // cond - .channelQuant = {}, - .data = TestBuffer::createFromVector<bool8>({}), - .dimensions = {1}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::TENSOR_BOOL8, - .zeroPoint = 0 - }, { // param2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // param3 - .channelQuant = {}, - .data = TestBuffer::createFromVector<uint32_t>({1}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::SUBGRAPH, - .zeroPoint = 0 - }, { // x - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }, { // y - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({108, 107, 106, 105, 104, 103, 102, 101, 100, 99, 98, 97}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }, { // z - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({108, 107, 106, 105, 104, 103, 102, 101, 100, 99, 98, 97}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }}, - .operations = {{ - .inputs = {0, 1, 2, 3, 4}, - .outputs = {5}, - .type = TestOperationType::IF - }}, - .outputIndexes = {5} - }, - .minSupportedVersion = TestHalVersion::V1_3, - .referenced = {{ // param - .inputIndexes = {0, 1}, - .operands = {{ // x1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }, { // y1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }, { // param - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::ADD - }}, - .outputIndexes = {3} - }, { // param - .inputIndexes = {0, 1}, - .operands = {{ // x2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }, { // y2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, - .numberOfConsumers = 1, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }, { // param1 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int32_t>({0}), - .dimensions = {}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::CONSTANT_COPY, - .numberOfConsumers = 1, - .scale = 0.0f, - .type = TestOperandType::INT32, - .zeroPoint = 0 - }, { // z2 - .channelQuant = {}, - .data = TestBuffer::createFromVector<int8_t>({}), - .dimensions = {3, 4}, - .isIgnored = false, - .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, - .numberOfConsumers = 0, - .scale = 1.0f, - .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, - .zeroPoint = 100 - }}, - .operations = {{ - .inputs = {0, 1, 2}, - .outputs = {3}, - .type = TestOperationType::SUB - }}, - .outputIndexes = {3} - }} - }; - return model; -} - -const auto dummy_test_model_quant8_signed_all_tensors_as_inputs = TestModelManager::get().add("if_no_value_quant8_signed_all_tensors_as_inputs", get_test_model_quant8_signed_all_tensors_as_inputs()); - -} // namespace generated_tests::if_no_value - diff --git a/nn/runtime/test/generated/spec_V1_3/mean_quant8_signed.example.cpp b/nn/runtime/test/generated/spec_V1_3/mean_quant8_signed.example.cpp index a83ba4998..af3c7d28f 100644 --- a/nn/runtime/test/generated/spec_V1_3/mean_quant8_signed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_3/mean_quant8_signed.example.cpp @@ -174,6 +174,174 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::mean_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-116, -115}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("mean_quant8_signed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::mean_quant8_signed + +namespace generated_tests::mean_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // axis + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-116, -115}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-123}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("mean_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::mean_quant8_signed + +namespace generated_tests::mean_quant8_signed { + const TestModel& get_test_model_2() { static TestModel model = { .expectFailure = false, @@ -298,7 +466,7 @@ const TestModel& get_test_model_all_inputs_as_internal_2() { .scale = 0.8f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -123 - }, { // dummy1 + }, { // dummy2 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-123}), .dimensions = {1}, @@ -308,7 +476,7 @@ const TestModel& get_test_model_all_inputs_as_internal_2() { .scale = 0.8f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -123 - }, { // param1 + }, { // param2 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -340,3 +508,171 @@ const auto dummy_test_model_all_inputs_as_internal_2 = TestModelManager::get().a } // namespace generated_tests::mean_quant8_signed +namespace generated_tests::mean_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_2() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // axis1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-118, -116, -114}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_2 = TestModelManager::get().add("mean_quant8_signed_all_tensors_as_inputs_2", get_test_model_all_tensors_as_inputs_2()); + +} // namespace generated_tests::mean_quant8_signed + +namespace generated_tests::mean_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 4}, + .operands = {{ // input1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // axis1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // keepDims1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-118, -116, -114}), + .dimensions = {1, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // input1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {4, 3, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // dummy3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-123}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.8f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -123 + }, { // param3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {4, 5, 6}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_2 = TestModelManager::get().add("mean_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_2", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2()); + +} // namespace generated_tests::mean_quant8_signed + diff --git a/nn/runtime/test/generated/spec_V1_3/pad_quant8_signed.example.cpp b/nn/runtime/test/generated/spec_V1_3/pad_quant8_signed.example.cpp index ea6ce262c..2eb1f626a 100644 --- a/nn/runtime/test/generated/spec_V1_3/pad_quant8_signed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_3/pad_quant8_signed.example.cpp @@ -154,6 +154,154 @@ const auto dummy_test_model_quant8_signed_all_inputs_as_internal = TestModelMana namespace generated_tests::pad_quant8_signed { +const TestModel& get_test_model_quant8_signed_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -127, -127, -126, -126, -125}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, 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false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_quant8_signed_all_tensors_as_inputs = TestModelManager::get().add("pad_quant8_signed_quant8_signed_all_tensors_as_inputs", get_test_model_quant8_signed_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + +const TestModel& get_test_model_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // paddings + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 3, 3, 2, 1}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output0 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, 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false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input0_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -127, -127, -126, -126, -125}), + .dimensions = {1, 1, 2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_quant8_signed_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + const TestModel& get_test_model() { static TestModel model = { .expectFailure = false, @@ -258,7 +406,7 @@ const TestModel& get_test_model_all_inputs_as_internal() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy1 + }, { // dummy2 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -268,7 +416,7 @@ const TestModel& get_test_model_all_inputs_as_internal() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param1 + }, { // param2 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -302,6 +450,154 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::pad_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input01 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // paddings1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output01 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -128, -128, -127, -126, -125, -128}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input01 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // paddings1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3, 1}), + .dimensions = {1, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output01 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -128, -128, -127, -126, -125, -128}), + .dimensions = {7}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input01_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + const TestModel& get_test_model_2() { static TestModel model = { .expectFailure = false, @@ -406,7 +702,7 @@ const TestModel& get_test_model_all_inputs_as_internal_2() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy2 + }, { // dummy4 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -416,7 +712,7 @@ const TestModel& get_test_model_all_inputs_as_internal_2() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param2 + }, { // param4 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -450,6 +746,154 @@ const auto dummy_test_model_all_inputs_as_internal_2 = TestModelManager::get().a namespace generated_tests::pad_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_2() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input02 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // paddings2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output02 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -127, -126, -125, -128, -128, -128, -128, -124, -123, -122, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_2 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_2", get_test_model_all_tensors_as_inputs_2()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input02 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // paddings2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output02 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128, -127, -126, -125, -128, -128, -128, -128, -124, -123, -122, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128, -128}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input02_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_2 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_2", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + const TestModel& get_test_model_3() { static TestModel model = { .expectFailure = false, @@ -554,7 +998,7 @@ const TestModel& get_test_model_all_inputs_as_internal_3() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -119 - }, { // dummy3 + }, { // dummy6 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-119}), .dimensions = {1}, @@ -564,7 +1008,7 @@ const TestModel& get_test_model_all_inputs_as_internal_3() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -119 - }, { // param3 + }, { // param6 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -598,6 +1042,154 @@ const auto dummy_test_model_all_inputs_as_internal_3 = TestModelManager::get().a namespace generated_tests::pad_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_3() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input03 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -119 + }, { // paddings3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output03 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-119, -127, -126, -125, -119, -119, -119, -119, -124, -123, -122, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -119 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_3 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_3", get_test_model_all_tensors_as_inputs_3()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input03 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -119 + }, { // paddings3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0, 0, 2, 1, 3, 0, 0}), + .dimensions = {4, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output03 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-119, -127, -126, -125, -119, -119, -119, -119, -124, -123, -122, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119, -119}), + .dimensions = {1, 4, 7, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -119 + }, { // input03_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {1, 2, 3, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -119 + }, { // dummy7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-119}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 2.3f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -119 + }, { // param7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::PAD + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_3 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_3", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3()); + +} // namespace generated_tests::pad_quant8_signed + +namespace generated_tests::pad_quant8_signed { + const TestModel& get_test_model_4() { static TestModel model = { .expectFailure = false, @@ -722,7 +1314,7 @@ const TestModel& get_test_model_all_inputs_as_internal_4() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // dummy4 + }, { // dummy8 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-124}), .dimensions = {1}, @@ -732,7 +1324,7 @@ const TestModel& get_test_model_all_inputs_as_internal_4() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // param4 + }, { // param8 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -766,7 +1358,7 @@ const auto dummy_test_model_all_inputs_as_internal_4 = TestModelManager::get().a namespace generated_tests::pad_quant8_signed { -const TestModel& get_test_model_all_tensors_as_inputs() { +const TestModel& get_test_model_all_tensors_as_inputs_4() { static TestModel model = { .expectFailure = false, .expectedMultinomialDistributionTolerance = 0, @@ -827,13 +1419,13 @@ const TestModel& get_test_model_all_tensors_as_inputs() { return model; } -const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); +const auto dummy_test_model_all_tensors_as_inputs_4 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_4", get_test_model_all_tensors_as_inputs_4()); } // namespace generated_tests::pad_quant8_signed namespace generated_tests::pad_quant8_signed { -const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_4() { static TestModel model = { .expectFailure = false, .expectedMultinomialDistributionTolerance = 0, @@ -890,7 +1482,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // dummy5 + }, { // dummy9 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-124}), .dimensions = {1}, @@ -900,7 +1492,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // param5 + }, { // param9 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -928,7 +1520,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { return model; } -const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_4 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_4", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_4()); } // namespace generated_tests::pad_quant8_signed @@ -1058,7 +1650,7 @@ const TestModel& get_test_model_all_inputs_as_internal_5() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // dummy6 + }, { // dummy10 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-124}), .dimensions = {1}, @@ -1068,7 +1660,7 @@ const TestModel& get_test_model_all_inputs_as_internal_5() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // param6 + }, { // param10 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1102,7 +1694,7 @@ const auto dummy_test_model_all_inputs_as_internal_5 = TestModelManager::get().a namespace generated_tests::pad_quant8_signed { -const TestModel& get_test_model_all_tensors_as_inputs_2() { +const TestModel& get_test_model_all_tensors_as_inputs_5() { static TestModel model = { .expectFailure = false, .expectedMultinomialDistributionTolerance = 0, @@ -1163,13 +1755,13 @@ const TestModel& get_test_model_all_tensors_as_inputs_2() { return model; } -const auto dummy_test_model_all_tensors_as_inputs_2 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_2", get_test_model_all_tensors_as_inputs_2()); +const auto dummy_test_model_all_tensors_as_inputs_5 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_5", get_test_model_all_tensors_as_inputs_5()); } // namespace generated_tests::pad_quant8_signed namespace generated_tests::pad_quant8_signed { -const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2() { +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_5() { static TestModel model = { .expectFailure = false, .expectedMultinomialDistributionTolerance = 0, @@ -1226,7 +1818,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2() .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // dummy7 + }, { // dummy11 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-124}), .dimensions = {1}, @@ -1236,7 +1828,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2() .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // param7 + }, { // param11 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1264,7 +1856,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2() return model; } -const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_2 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_2", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2()); +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_5 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_5", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_5()); } // namespace generated_tests::pad_quant8_signed @@ -1394,7 +1986,7 @@ const TestModel& get_test_model_all_inputs_as_internal_6() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // dummy8 + }, { // dummy12 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-124}), .dimensions = {1}, @@ -1404,7 +1996,7 @@ const TestModel& get_test_model_all_inputs_as_internal_6() { .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // param8 + }, { // param12 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1438,7 +2030,7 @@ const auto dummy_test_model_all_inputs_as_internal_6 = TestModelManager::get().a namespace generated_tests::pad_quant8_signed { -const TestModel& get_test_model_all_tensors_as_inputs_3() { +const TestModel& get_test_model_all_tensors_as_inputs_6() { static TestModel model = { .expectFailure = false, .expectedMultinomialDistributionTolerance = 0, @@ -1499,13 +2091,13 @@ const TestModel& get_test_model_all_tensors_as_inputs_3() { return model; } -const auto dummy_test_model_all_tensors_as_inputs_3 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_3", get_test_model_all_tensors_as_inputs_3()); +const auto dummy_test_model_all_tensors_as_inputs_6 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_6", get_test_model_all_tensors_as_inputs_6()); } // namespace generated_tests::pad_quant8_signed namespace generated_tests::pad_quant8_signed { -const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3() { +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_6() { static TestModel model = { .expectFailure = false, .expectedMultinomialDistributionTolerance = 0, @@ -1562,7 +2154,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3() .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // dummy9 + }, { // dummy13 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-124}), .dimensions = {1}, @@ -1572,7 +2164,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3() .scale = 2.3f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -124 - }, { // param9 + }, { // param13 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1600,7 +2192,7 @@ const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3() return model; } -const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_3 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_3", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3()); +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_6 = TestModelManager::get().add("pad_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_6", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_6()); } // namespace generated_tests::pad_quant8_signed diff --git a/nn/runtime/test/generated/spec_V1_3/reshape_quant8_signed.example.cpp b/nn/runtime/test/generated/spec_V1_3/reshape_quant8_signed.example.cpp index 96b816f16..57f19e173 100644 --- a/nn/runtime/test/generated/spec_V1_3/reshape_quant8_signed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_3/reshape_quant8_signed.example.cpp @@ -152,3 +152,151 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add } // namespace generated_tests::reshape_quant8_signed +namespace generated_tests::reshape_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("reshape_quant8_signed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::reshape_quant8_signed + +namespace generated_tests::reshape_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // op3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119}), + .dimensions = {9}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // op1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119}), + .dimensions = {1, 1, 3, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::RESHAPE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("reshape_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::reshape_quant8_signed + diff --git a/nn/runtime/test/generated/spec_V1_3/squeeze_quant8_signed.example.cpp b/nn/runtime/test/generated/spec_V1_3/squeeze_quant8_signed.example.cpp index babb68ab3..95e1fb3c9 100644 --- a/nn/runtime/test/generated/spec_V1_3/squeeze_quant8_signed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_3/squeeze_quant8_signed.example.cpp @@ -154,6 +154,154 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::squeeze_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("squeeze_quant8_signed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::squeeze_quant8_signed + +namespace generated_tests::squeeze_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // squeezeDims + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {1, 24}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122, -121, -120, -119, -118, -117, -116, -115, -114, -113, -112, -111, -110, -109, -108, -107, -106, -105, -104}), + .dimensions = {1, 24, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::SQUEEZE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("squeeze_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::squeeze_quant8_signed + +namespace generated_tests::squeeze_quant8_signed { + const TestModel& get_test_model_omitted() { static TestModel model = { .expectFailure = false, @@ -258,7 +406,7 @@ const TestModel& get_test_model_omitted_all_inputs_as_internal() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy1 + }, { // dummy2 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -268,7 +416,7 @@ const TestModel& get_test_model_omitted_all_inputs_as_internal() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param1 + }, { // param2 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, diff --git a/nn/runtime/test/generated/spec_V1_3/strided_slice_quant8_signed.example.cpp b/nn/runtime/test/generated/spec_V1_3/strided_slice_quant8_signed.example.cpp index f24ea0824..b0b152b40 100644 --- a/nn/runtime/test/generated/spec_V1_3/strided_slice_quant8_signed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_3/strided_slice_quant8_signed.example.cpp @@ -254,6 +254,254 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-124, -123, -122}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-124, -123, -122}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_2() { static TestModel model = { .expectFailure = false, @@ -458,7 +706,7 @@ const TestModel& get_test_model_all_inputs_as_internal_2() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy1 + }, { // dummy2 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -468,7 +716,7 @@ const TestModel& get_test_model_all_inputs_as_internal_2() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param1 + }, { // param2 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -502,6 +750,254 @@ const auto dummy_test_model_all_inputs_as_internal_2 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_2() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_2 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_2", get_test_model_all_tensors_as_inputs_2()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 3}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input1_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_2 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_2", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_2()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_3() { static TestModel model = { .expectFailure = false, @@ -706,7 +1202,7 @@ const TestModel& get_test_model_all_inputs_as_internal_3() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy2 + }, { // dummy4 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -716,7 +1212,7 @@ const TestModel& get_test_model_all_inputs_as_internal_3() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param2 + }, { // param4 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -750,6 +1246,254 @@ const auto dummy_test_model_all_inputs_as_internal_3 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_3() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126, -125}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_3 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_3", get_test_model_all_tensors_as_inputs_3()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126, -125}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input2_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_3 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_3", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_3()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_4() { static TestModel model = { .expectFailure = false, @@ -954,7 +1698,7 @@ const TestModel& get_test_model_all_inputs_as_internal_4() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy3 + }, { // dummy6 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -964,7 +1708,7 @@ const TestModel& get_test_model_all_inputs_as_internal_4() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param3 + }, { // param6 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -998,6 +1742,254 @@ const auto dummy_test_model_all_inputs_as_internal_4 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_4() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126, -125}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_4 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_4", get_test_model_all_tensors_as_inputs_4()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_4() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output3 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126, -125}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input3_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_4 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_4", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_4()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_5() { static TestModel model = { .expectFailure = false, @@ -1202,7 +2194,7 @@ const TestModel& get_test_model_all_inputs_as_internal_5() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy4 + }, { // dummy8 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -1212,7 +2204,7 @@ const TestModel& get_test_model_all_inputs_as_internal_5() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param4 + }, { // param8 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1246,6 +2238,254 @@ const auto dummy_test_model_all_inputs_as_internal_5 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_5() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_5 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_5", get_test_model_all_tensors_as_inputs_5()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_5() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-5}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output4 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input4_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_5 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_5", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_5()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_6() { static TestModel model = { .expectFailure = false, @@ -1450,7 +2690,7 @@ const TestModel& get_test_model_all_inputs_as_internal_6() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy5 + }, { // dummy10 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -1460,7 +2700,7 @@ const TestModel& get_test_model_all_inputs_as_internal_6() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param5 + }, { // param10 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1494,6 +2734,254 @@ const auto dummy_test_model_all_inputs_as_internal_6 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_6() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_6 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_6", get_test_model_all_tensors_as_inputs_6()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_6() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-2}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output5 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input5_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy11 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param11 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_6 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_6", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_6()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_7() { static TestModel model = { .expectFailure = false, @@ -1698,7 +3186,7 @@ const TestModel& get_test_model_all_inputs_as_internal_7() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy6 + }, { // dummy12 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -1708,7 +3196,7 @@ const TestModel& get_test_model_all_inputs_as_internal_7() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param6 + }, { // param12 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1742,6 +3230,254 @@ const auto dummy_test_model_all_inputs_as_internal_7 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_7() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_7 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_7", get_test_model_all_tensors_as_inputs_7()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_7() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output6 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input6_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy13 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param13 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_7 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_7", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_7()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_8() { static TestModel model = { .expectFailure = false, @@ -1946,7 +3682,7 @@ const TestModel& get_test_model_all_inputs_as_internal_8() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy7 + }, { // dummy14 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -1956,7 +3692,7 @@ const TestModel& get_test_model_all_inputs_as_internal_8() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param7 + }, { // param14 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -1990,6 +3726,254 @@ const auto dummy_test_model_all_inputs_as_internal_8 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_8() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126, -125, -124}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_8 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_8", get_test_model_all_tensors_as_inputs_8()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_8() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({3}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output7 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-126, -125, -124}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input7_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy15 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param15 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_8 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_8", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_8()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_9() { static TestModel model = { .expectFailure = false, @@ -2194,7 +4178,7 @@ const TestModel& get_test_model_all_inputs_as_internal_9() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy8 + }, { // dummy16 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -2204,7 +4188,7 @@ const TestModel& get_test_model_all_inputs_as_internal_9() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param8 + }, { // param16 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -2238,6 +4222,254 @@ const auto dummy_test_model_all_inputs_as_internal_9 = TestModelManager::get().a namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_9() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-125, -126, -127}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_9 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_9", get_test_model_all_tensors_as_inputs_9()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_9() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-4}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({-1}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output8 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-125, -126, -127}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input8_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy17 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param17 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_9 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_9", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_9()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_10() { static TestModel model = { .expectFailure = false, @@ -2442,7 +4674,7 @@ const TestModel& get_test_model_all_inputs_as_internal_10() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy9 + }, { // dummy18 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -2452,7 +4684,7 @@ const TestModel& get_test_model_all_inputs_as_internal_10() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param9 + }, { // param18 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -2486,6 +4718,254 @@ const auto dummy_test_model_all_inputs_as_internal_10 = TestModelManager::get(). namespace generated_tests::strided_slice_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs_10() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-122, -123, -124}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_10 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_10", get_test_model_all_tensors_as_inputs_10()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_10() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -4}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, -1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output9 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-122, -123, -124}), + .dimensions = {1, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input9_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy19 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param19 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_10 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_10", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_10()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + const TestModel& get_test_model_11() { static TestModel model = { .expectFailure = false, @@ -2690,7 +5170,7 @@ const TestModel& get_test_model_all_inputs_as_internal_11() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy10 + }, { // dummy20 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -2700,7 +5180,7 @@ const TestModel& get_test_model_all_inputs_as_internal_11() { .scale = 1.0f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param10 + }, { // param20 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, @@ -2732,3 +5212,251 @@ const auto dummy_test_model_all_inputs_as_internal_11 = TestModelManager::get(). } // namespace generated_tests::strided_slice_quant8_signed +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_11() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1, 2, 3}, + .operands = {{ // input10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -124, -123}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_11 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_11", get_test_model_all_tensors_as_inputs_11()); + +} // namespace generated_tests::strided_slice_quant8_signed + +namespace generated_tests::strided_slice_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal_11() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 2, 3, 8}, + .operands = {{ // input10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // begins10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 0}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // ends10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 2}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // strides10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1, 1}), + .dimensions = {2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // beginMask10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({1}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // endMask10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // shrinkAxisMask10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }, { // output10 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -124, -123}), + .dimensions = {2, 2}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input10_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-127, -126, -125, -124, -123, -122}), + .dimensions = {2, 3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy21 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param21 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {8, 9, 10}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1, 2, 3, 4, 5, 6}, + .outputs = {7}, + .type = TestOperationType::STRIDED_SLICE + }}, + .outputIndexes = {7} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal_11 = TestModelManager::get().add("strided_slice_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal_11", get_test_model_all_tensors_as_inputs_all_inputs_as_internal_11()); + +} // namespace generated_tests::strided_slice_quant8_signed + diff --git a/nn/runtime/test/generated/spec_V1_3/transpose_quant8_signed.example.cpp b/nn/runtime/test/generated/spec_V1_3/transpose_quant8_signed.example.cpp index 3c96df06f..c3bd71a6b 100644 --- a/nn/runtime/test/generated/spec_V1_3/transpose_quant8_signed.example.cpp +++ b/nn/runtime/test/generated/spec_V1_3/transpose_quant8_signed.example.cpp @@ -29336,6 +29336,154 @@ const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add namespace generated_tests::transpose_quant8_signed { +const TestModel& get_test_model_all_tensors_as_inputs() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0, 1}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({0, 1, 2, 3, 4, 20, 21, 22, 23, 24, 40, 41, 42, 43, 44, 60, 61, 62, 63, 64, 80, 81, 82, 83, 84, 100, 101, 102, 103, 104, 5, 6, 7, 8, 9, 25, 26, 27, 28, 29, 45, 46, 47, 48, 49, 65, 66, 67, 68, 69, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 10, 11, 12, 13, 14, 30, 31, 32, 33, 34, 50, 51, 52, 53, 54, 70, 71, 72, 73, 74, 90, 91, 92, 93, 94, 110, 111, 112, 113, 114, 15, 16, 17, 18, 19, 35, 36, 37, 38, 39, 55, 56, 57, 58, 59, 75, 76, 77, 78, 79, 95, 96, 97, 98, 99, 115, 116, 117, 118, 119}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }}, + .operations = {{ + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_quant8_signed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); + +} // namespace generated_tests::transpose_quant8_signed + +namespace generated_tests::transpose_quant8_signed { + +const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {1, 3}, + .operands = {{ // input + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // perms + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}), + .dimensions = {4}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_INT32, + .zeroPoint = 0 + }, { // output + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({0, 1, 2, 3, 4, 20, 21, 22, 23, 24, 40, 41, 42, 43, 44, 60, 61, 62, 63, 64, 80, 81, 82, 83, 84, 100, 101, 102, 103, 104, 5, 6, 7, 8, 9, 25, 26, 27, 28, 29, 45, 46, 47, 48, 49, 65, 66, 67, 68, 69, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 10, 11, 12, 13, 14, 30, 31, 32, 33, 34, 50, 51, 52, 53, 54, 70, 71, 72, 73, 74, 90, 91, 92, 93, 94, 110, 111, 112, 113, 114, 15, 16, 17, 18, 19, 35, 36, 37, 38, 39, 55, 56, 57, 58, 59, 75, 76, 77, 78, 79, 95, 96, 97, 98, 99, 115, 116, 117, 118, 119}), + .dimensions = {4, 2, 3, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // input_new + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119}), + .dimensions = {2, 3, 4, 5}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // dummy120 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int8_t>({-128}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 1.0f, + .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, + .zeroPoint = -128 + }, { // param200 + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0}), + .dimensions = {}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::INT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {3, 4, 5}, + .outputs = {0}, + .type = TestOperationType::ADD + }, { + .inputs = {0, 1}, + .outputs = {2}, + .type = TestOperationType::TRANSPOSE + }}, + .outputIndexes = {2} + }, + .minSupportedVersion = TestHalVersion::V1_3, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); + +} // namespace generated_tests::transpose_quant8_signed + +namespace generated_tests::transpose_quant8_signed { + const TestModel& get_test_model_quant8_signed_2() { static TestModel model = { .expectFailure = false, @@ -29440,7 +29588,7 @@ const TestModel& get_test_model_quant8_signed_all_inputs_as_internal_2() { .scale = 0.5f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // dummy120 + }, { // dummy121 .channelQuant = {}, .data = TestBuffer::createFromVector<int8_t>({-128}), .dimensions = {1}, @@ -29450,7 +29598,7 @@ const TestModel& get_test_model_quant8_signed_all_inputs_as_internal_2() { .scale = 0.5f, .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .zeroPoint = -128 - }, { // param200 + }, { // param201 .channelQuant = {}, .data = TestBuffer::createFromVector<int32_t>({0}), .dimensions = {}, |