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Diffstat (limited to 'nn/runtime/test/generated/spec_V1_1/mean_b155508675.example.cpp')
| -rw-r--r-- | nn/runtime/test/generated/spec_V1_1/mean_b155508675.example.cpp | 174 |
1 files changed, 174 insertions, 0 deletions
diff --git a/nn/runtime/test/generated/spec_V1_1/mean_b155508675.example.cpp b/nn/runtime/test/generated/spec_V1_1/mean_b155508675.example.cpp new file mode 100644 index 000000000..4cd5424b8 --- /dev/null +++ b/nn/runtime/test/generated/spec_V1_1/mean_b155508675.example.cpp @@ -0,0 +1,174 @@ +// Generated from mean_b155508675.mod.py +// DO NOT EDIT +// clang-format off +#include "TestHarness.h" +using namespace test_helper; + +namespace generated_tests::mean_b155508675 { + +const TestModel& get_test_model() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {0}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({2.0f, 3.0f, 3.0f, 4.0f}), + .dimensions = {2, 2, 1}, + .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, 1, 2}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .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 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({3.0f}), + .dimensions = {1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, + .numberOfConsumers = 0, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }}, + .operations = {{ + .inputs = {0, 1, 2}, + .outputs = {3}, + .type = TestOperationType::MEAN + }}, + .outputIndexes = {3} + }, + .minSupportedVersion = TestHalVersion::V1_1, + .referenced = {} + }; + return model; +} + +const auto dummy_test_model = TestModelManager::get().add("mean_b155508675", get_test_model()); + +} // namespace generated_tests::mean_b155508675 + +namespace generated_tests::mean_b155508675 { + +const TestModel& get_test_model_all_inputs_as_internal() { + static TestModel model = { + .expectFailure = false, + .expectedMultinomialDistributionTolerance = 0, + .isRelaxed = false, + .main = { + .inputIndexes = {4}, + .operands = {{ // op1 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({}), + .dimensions = {2, 2, 1}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, + .numberOfConsumers = 1, + .scale = 0.0f, + .type = TestOperandType::TENSOR_FLOAT32, + .zeroPoint = 0 + }, { // param + .channelQuant = {}, + .data = TestBuffer::createFromVector<int32_t>({0, 1, 2}), + .dimensions = {3}, + .isIgnored = false, + .lifetime = TestOperandLifeTime::CONSTANT_COPY, + .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 + }, { // op2 + .channelQuant = {}, + .data = TestBuffer::createFromVector<float>({3.0f}), + .dimensions = {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>({2.0f, 3.0f, 3.0f, 4.0f}), + .dimensions = {2, 2, 1}, + .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 + }, { // param2 + .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_inputs_as_internal = TestModelManager::get().add("mean_b155508675_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); + +} // namespace generated_tests::mean_b155508675 + |