diff options
Diffstat (limited to 'nn/runtime/test/generated/spec_V1_2/pad_low_rank.example.cpp')
| -rw-r--r-- | nn/runtime/test/generated/spec_V1_2/pad_low_rank.example.cpp | 300 |
1 files changed, 298 insertions, 2 deletions
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 + |