// Generated from fill.mod.py // DO NOT EDIT // clang-format off #include "TestHarness.h" using namespace test_helper; // NOLINT(google-build-using-namespace) namespace generated_tests::fill { const TestModel& get_test_model_1d() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_INT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({5}) }, { // value .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {5}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f, 3.0f, 3.0f, 3.0f, 3.0f}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_1d = TestModelManager::get().add("fill_1d", get_test_model_1d()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_1d_float16() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_INT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({5}) }, { // value .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({3.0f}) }, { // output .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {5}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({3.0f, 3.0f, 3.0f, 3.0f, 3.0f}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_1d_float16 = TestModelManager::get().add("fill_1d_float16", get_test_model_1d_float16()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_1d_int32() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_INT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({5}) }, { // value .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3}) }, { // output .type = TestOperandType::TENSOR_INT32, .dimensions = {5}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3, 3, 3, 3, 3}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_1d_int32 = TestModelManager::get().add("fill_1d_int32", get_test_model_1d_int32()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_3d() { static TestModel model = { .main = { .operands = {{ // input01 .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 3, 4}) }, { // value1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_3d = TestModelManager::get().add("fill_3d", get_test_model_3d()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_3d_float16() { static TestModel model = { .main = { .operands = {{ // input01 .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 3, 4}) }, { // value1 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({3.0f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 3, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_3d_float16 = TestModelManager::get().add("fill_3d_float16", get_test_model_3d_float16()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_3d_int32() { static TestModel model = { .main = { .operands = {{ // input01 .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 3, 4}) }, { // value1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3}) }, { // output1 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 3, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_3d_int32 = TestModelManager::get().add("fill_3d_int32", get_test_model_3d_int32()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_5d() { static TestModel model = { .main = { .operands = {{ // input02 .type = TestOperandType::TENSOR_INT32, .dimensions = {5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 2, 3, 4, 5}) }, { // value2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 3, 4, 5}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_5d = TestModelManager::get().add("fill_5d", get_test_model_5d()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_5d_float16() { static TestModel model = { .main = { .operands = {{ // input02 .type = TestOperandType::TENSOR_INT32, .dimensions = {5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 2, 3, 4, 5}) }, { // value2 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({3.0f}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 3, 4, 5}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f, 3.0f}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_5d_float16 = TestModelManager::get().add("fill_5d_float16", get_test_model_5d_float16()); } // namespace generated_tests::fill namespace generated_tests::fill { const TestModel& get_test_model_5d_int32() { static TestModel model = { .main = { .operands = {{ // input02 .type = TestOperandType::TENSOR_INT32, .dimensions = {5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 2, 3, 4, 5}) }, { // value2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3}) }, { // output2 .type = TestOperandType::TENSOR_INT32, .dimensions = {1, 2, 3, 4, 5}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}) }}, .operations = {{ .type = TestOperationType::FILL, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_3 }; return model; } const auto dummy_test_model_5d_int32 = TestModelManager::get().add("fill_5d_int32", get_test_model_5d_int32()); } // namespace generated_tests::fill