// Generated from expand_dims.mod.py // DO NOT EDIT // clang-format off #include "TestHarness.h" using namespace test_helper; // NOLINT(google-build-using-namespace) namespace generated_tests::expand_dims { const TestModel& get_test_model() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model = TestModelManager::get().add("expand_dims", get_test_model()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param4 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("expand_dims_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed = TestModelManager::get().add("expand_dims_relaxed", get_test_model_relaxed()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param5 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_all_inputs_as_internal = TestModelManager::get().add("expand_dims_relaxed_all_inputs_as_internal", get_test_model_relaxed_all_inputs_as_internal()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8 = TestModelManager::get().add("expand_dims_quant8", get_test_model_quant8()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // input0_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // placeholder2 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({127}) }, { // param6 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8_all_inputs_as_internal = TestModelManager::get().add("expand_dims_quant8_all_inputs_as_internal", get_test_model_quant8_all_inputs_as_internal()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_int32() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_INT32, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_int32 = TestModelManager::get().add("expand_dims_int32", get_test_model_int32()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16 = TestModelManager::get().add("expand_dims_float16", get_test_model_float16()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // placeholder3 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param7 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16_all_inputs_as_internal = TestModelManager::get().add("expand_dims_float16_all_inputs_as_internal", get_test_model_float16_all_inputs_as_internal()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_2 = TestModelManager::get().add("expand_dims_2", get_test_model_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder4 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_2 = TestModelManager::get().add("expand_dims_all_inputs_as_internal_2", get_test_model_all_inputs_as_internal_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_2 = TestModelManager::get().add("expand_dims_relaxed_2", get_test_model_relaxed_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder5 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param9 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_all_inputs_as_internal_2 = TestModelManager::get().add("expand_dims_relaxed_all_inputs_as_internal_2", get_test_model_relaxed_all_inputs_as_internal_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8_2 = TestModelManager::get().add("expand_dims_quant8_2", get_test_model_quant8_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // input0_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // placeholder6 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({127}) }, { // param10 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8_all_inputs_as_internal_2 = TestModelManager::get().add("expand_dims_quant8_all_inputs_as_internal_2", get_test_model_quant8_all_inputs_as_internal_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_int32_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_int32_2 = TestModelManager::get().add("expand_dims_int32_2", get_test_model_int32_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16_2 = TestModelManager::get().add("expand_dims_float16_2", get_test_model_float16_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 1, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // placeholder7 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param11 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16_all_inputs_as_internal_2 = TestModelManager::get().add("expand_dims_float16_all_inputs_as_internal_2", get_test_model_float16_all_inputs_as_internal_2()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_3 = TestModelManager::get().add("expand_dims_3", get_test_model_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_all_inputs_as_internal_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder8 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param12 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_3 = TestModelManager::get().add("expand_dims_all_inputs_as_internal_3", get_test_model_all_inputs_as_internal_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_3 = TestModelManager::get().add("expand_dims_relaxed_3", get_test_model_relaxed_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed_all_inputs_as_internal_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder9 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param13 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_all_inputs_as_internal_3 = TestModelManager::get().add("expand_dims_relaxed_all_inputs_as_internal_3", get_test_model_relaxed_all_inputs_as_internal_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8_3 = TestModelManager::get().add("expand_dims_quant8_3", get_test_model_quant8_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8_all_inputs_as_internal_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // input0_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // placeholder10 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({127}) }, { // param14 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8_all_inputs_as_internal_3 = TestModelManager::get().add("expand_dims_quant8_all_inputs_as_internal_3", get_test_model_quant8_all_inputs_as_internal_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_int32_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_int32_3 = TestModelManager::get().add("expand_dims_int32_3", get_test_model_int32_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16_3 = TestModelManager::get().add("expand_dims_float16_3", get_test_model_float16_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16_all_inputs_as_internal_3() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // placeholder11 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param15 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16_all_inputs_as_internal_3 = TestModelManager::get().add("expand_dims_float16_all_inputs_as_internal_3", get_test_model_float16_all_inputs_as_internal_3()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_4 = TestModelManager::get().add("expand_dims_4", get_test_model_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_all_inputs_as_internal_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder12 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param16 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_4 = TestModelManager::get().add("expand_dims_all_inputs_as_internal_4", get_test_model_all_inputs_as_internal_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_4 = TestModelManager::get().add("expand_dims_relaxed_4", get_test_model_relaxed_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_relaxed_all_inputs_as_internal_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.2f, -3.4f, 5.6f, 7.8f}) }, { // placeholder13 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param17 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_all_inputs_as_internal_4 = TestModelManager::get().add("expand_dims_relaxed_all_inputs_as_internal_4", get_test_model_relaxed_all_inputs_as_internal_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8_4 = TestModelManager::get().add("expand_dims_quant8_4", get_test_model_quant8_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_quant8_all_inputs_as_internal_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // input0_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({129, 120, 138, 143}) }, { // placeholder14 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.5f, .zeroPoint = 127, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({127}) }, { // param18 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_quant8_all_inputs_as_internal_4 = TestModelManager::get().add("expand_dims_quant8_all_inputs_as_internal_4", get_test_model_quant8_all_inputs_as_internal_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_int32_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_INT32, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, -3, 6, 8}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_int32_4 = TestModelManager::get().add("expand_dims_int32_4", get_test_model_int32_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }}, .operations = {{ .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {0}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16_4 = TestModelManager::get().add("expand_dims_float16_4", get_test_model_float16_4()); } // namespace generated_tests::expand_dims namespace generated_tests::expand_dims { const TestModel& get_test_model_float16_all_inputs_as_internal_4() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-1}) }, { // output2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // input0_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.2000000476837158f, -3.4000000953674316f, 5.599999904632568f, 7.800000190734863f}) }, { // placeholder15 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param19 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {3, 4, 5}, .outputs = {0} }, { .type = TestOperationType::EXPAND_DIMS, .inputs = {0, 1}, .outputs = {2} }}, .inputIndexes = {3}, .outputIndexes = {2} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_float16_all_inputs_as_internal_4 = TestModelManager::get().add("expand_dims_float16_all_inputs_as_internal_4", get_test_model_float16_all_inputs_as_internal_4()); } // namespace generated_tests::expand_dims