// Generated from instance_normalization.mod.py // DO NOT EDIT // clang-format off #include "TestHarness.h" using namespace test_helper; // NOLINT(google-build-using-namespace) namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, -1.1470304f, 0.0f, -0.22940612f, 0.0f, -0.22940612f, 0.0f, 1.6058424f, 0.99995005f, -0.7337929f, -0.99995005f, 0.52413774f, -0.99995005f, -1.1531031f, 0.99995005f, 1.3627582f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc = TestModelManager::get().add("instance_normalization_nhwc", get_test_model_nhwc()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, -1.1470304f, 0.0f, -0.22940612f, 0.0f, -0.22940612f, 0.0f, 1.6058424f, 0.99995005f, -0.7337929f, -0.99995005f, 0.52413774f, -0.99995005f, -1.1531031f, 0.99995005f, 1.3627582f}) }, { // in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // 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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_nhwc_all_inputs_as_internal", get_test_model_nhwc_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_relaxed() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, -1.1470304f, 0.0f, -0.22940612f, 0.0f, -0.22940612f, 0.0f, 1.6058424f, 0.99995005f, -0.7337929f, -0.99995005f, 0.52413774f, -0.99995005f, -1.1531031f, 0.99995005f, 1.3627582f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nhwc_relaxed = TestModelManager::get().add("instance_normalization_nhwc_relaxed", get_test_model_nhwc_relaxed()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_relaxed_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, -1.1470304f, 0.0f, -0.22940612f, 0.0f, -0.22940612f, 0.0f, 1.6058424f, 0.99995005f, -0.7337929f, -0.99995005f, 0.52413774f, -0.99995005f, -1.1531031f, 0.99995005f, 1.3627582f}) }, { // in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // 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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nhwc_relaxed_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_nhwc_relaxed_all_inputs_as_internal", get_test_model_nhwc_relaxed_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_float16() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // param .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param1 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param2 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, -1.1470303535461426f, 0.0f, -0.22940611839294434f, 0.0f, -0.22940611839294434f, 0.0f, 1.6058423519134521f, 0.9999500513076782f, -0.7337929010391235f, -0.9999500513076782f, 0.5241377353668213f, -0.9999500513076782f, -1.1531031131744385f, 0.9999500513076782f, 1.3627581596374512f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc_float16 = TestModelManager::get().add("instance_normalization_nhwc_float16", get_test_model_nhwc_float16()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_float16_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param1 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param2 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, -1.1470303535461426f, 0.0f, -0.22940611839294434f, 0.0f, -0.22940611839294434f, 0.0f, 1.6058423519134521f, 0.9999500513076782f, -0.7337929010391235f, -0.9999500513076782f, 0.5241377353668213f, -0.9999500513076782f, -1.1531031131744385f, 0.9999500513076782f, 1.3627581596374512f}) }, { // in_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // placeholder2 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc_float16_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_nhwc_float16_all_inputs_as_internal", get_test_model_nhwc_float16_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, -1.1470304f, -0.22940612f, -0.22940612f, 1.6058424f, 0.99995005f, -0.99995005f, -0.99995005f, 0.99995005f, -0.7337929f, 0.52413774f, -1.1531031f, 1.3627582f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw = TestModelManager::get().add("instance_normalization_nchw", get_test_model_nchw()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, -1.1470304f, -0.22940612f, -0.22940612f, 1.6058424f, 0.99995005f, -0.99995005f, -0.99995005f, 0.99995005f, -0.7337929f, 0.52413774f, -1.1531031f, 1.3627582f}) }, { // in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // placeholder3 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_nchw_all_inputs_as_internal", get_test_model_nchw_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_relaxed() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, -1.1470304f, -0.22940612f, -0.22940612f, 1.6058424f, 0.99995005f, -0.99995005f, -0.99995005f, 0.99995005f, -0.7337929f, 0.52413774f, -1.1531031f, 1.3627582f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nchw_relaxed = TestModelManager::get().add("instance_normalization_nchw_relaxed", get_test_model_nchw_relaxed()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_relaxed_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, -1.1470304f, -0.22940612f, -0.22940612f, 1.6058424f, 0.99995005f, -0.99995005f, -0.99995005f, 0.99995005f, -0.7337929f, 0.52413774f, -1.1531031f, 1.3627582f}) }, { // in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // 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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nchw_relaxed_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_nchw_relaxed_all_inputs_as_internal", get_test_model_nchw_relaxed_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_float16() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // param .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param1 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param2 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, -1.1470303535461426f, -0.22940611839294434f, -0.22940611839294434f, 1.6058423519134521f, 0.9999500513076782f, -0.9999500513076782f, -0.9999500513076782f, 0.9999500513076782f, -0.7337929010391235f, 0.5241377353668213f, -1.1531031131744385f, 1.3627581596374512f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw_float16 = TestModelManager::get().add("instance_normalization_nchw_float16", get_test_model_nchw_float16()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_float16_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // in .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param1 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param2 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, -1.1470303535461426f, -0.22940611839294434f, -0.22940611839294434f, 1.6058423519134521f, 0.9999500513076782f, -0.9999500513076782f, -0.9999500513076782f, 0.9999500513076782f, -0.7337929010391235f, 0.5241377353668213f, -1.1531031131744385f, 1.3627581596374512f}) }, { // in_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // placeholder5 .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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw_float16_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_nchw_float16_all_inputs_as_internal", get_test_model_nchw_float16_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 7.7059393f, 10.0f, 9.541187f, 10.0f, 9.541187f, 10.0f, 13.211685f, 11.9999f, 8.532414f, 8.0001f, 11.048275f, 8.0001f, 7.693794f, 11.9999f, 12.725516f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc_2 = TestModelManager::get().add("instance_normalization_nhwc_2", get_test_model_nhwc_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 7.7059393f, 10.0f, 9.541187f, 10.0f, 9.541187f, 10.0f, 13.211685f, 11.9999f, 8.532414f, 8.0001f, 11.048275f, 8.0001f, 7.693794f, 11.9999f, 12.725516f}) }, { // in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // placeholder6 .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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc_all_inputs_as_internal_2 = TestModelManager::get().add("instance_normalization_nhwc_all_inputs_as_internal_2", get_test_model_nhwc_all_inputs_as_internal_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_relaxed_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 7.7059393f, 10.0f, 9.541187f, 10.0f, 9.541187f, 10.0f, 13.211685f, 11.9999f, 8.532414f, 8.0001f, 11.048275f, 8.0001f, 7.693794f, 11.9999f, 12.725516f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nhwc_relaxed_2 = TestModelManager::get().add("instance_normalization_nhwc_relaxed_2", get_test_model_nhwc_relaxed_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_relaxed_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 7.7059393f, 10.0f, 9.541187f, 10.0f, 9.541187f, 10.0f, 13.211685f, 11.9999f, 8.532414f, 8.0001f, 11.048275f, 8.0001f, 7.693794f, 11.9999f, 12.725516f}) }, { // in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // placeholder7 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nhwc_relaxed_all_inputs_as_internal_2 = TestModelManager::get().add("instance_normalization_nhwc_relaxed_all_inputs_as_internal_2", get_test_model_nhwc_relaxed_all_inputs_as_internal_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_float16_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // param3 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({2.0f}) }, { // param4 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f}) }, { // param5 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f, 7.705939292907715f, 10.0f, 9.541187286376953f, 10.0f, 9.541187286376953f, 10.0f, 13.211685180664062f, 11.999899864196777f, 8.532414436340332f, 8.000100135803223f, 11.048274993896484f, 8.000100135803223f, 7.693793773651123f, 11.999899864196777f, 12.725516319274902f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc_float16_2 = TestModelManager::get().add("instance_normalization_nhwc_float16_2", get_test_model_nhwc_float16_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nhwc_float16_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param3 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({2.0f}) }, { // param4 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f}) }, { // param5 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f, 7.705939292907715f, 10.0f, 9.541187286376953f, 10.0f, 9.541187286376953f, 10.0f, 13.211685180664062f, 11.999899864196777f, 8.532414436340332f, 8.000100135803223f, 11.048274993896484f, 8.000100135803223f, 7.693793773651123f, 11.999899864196777f, 12.725516319274902f}) }, { // in1_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f}) }, { // placeholder8 .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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nhwc_float16_all_inputs_as_internal_2 = TestModelManager::get().add("instance_normalization_nhwc_float16_all_inputs_as_internal_2", get_test_model_nhwc_float16_all_inputs_as_internal_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 10.0f, 10.0f, 10.0f, 7.7059393f, 9.541187f, 9.541187f, 13.211685f, 11.9999f, 8.0001f, 8.0001f, 11.9999f, 8.532414f, 11.048275f, 7.693794f, 12.725516f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw_2 = TestModelManager::get().add("instance_normalization_nchw_2", get_test_model_nchw_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 10.0f, 10.0f, 10.0f, 7.7059393f, 9.541187f, 9.541187f, 13.211685f, 11.9999f, 8.0001f, 8.0001f, 11.9999f, 8.532414f, 11.048275f, 7.693794f, 12.725516f}) }, { // in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // 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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw_all_inputs_as_internal_2 = TestModelManager::get().add("instance_normalization_nchw_all_inputs_as_internal_2", get_test_model_nchw_all_inputs_as_internal_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_relaxed_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 10.0f, 10.0f, 10.0f, 7.7059393f, 9.541187f, 9.541187f, 13.211685f, 11.9999f, 8.0001f, 8.0001f, 11.9999f, 8.532414f, 11.048275f, 7.693794f, 12.725516f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nchw_relaxed_2 = TestModelManager::get().add("instance_normalization_nchw_relaxed_2", get_test_model_nchw_relaxed_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_relaxed_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2.0f}) }, { // param4 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f}) }, { // param5 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({10.0f, 10.0f, 10.0f, 10.0f, 7.7059393f, 9.541187f, 9.541187f, 13.211685f, 11.9999f, 8.0001f, 8.0001f, 11.9999f, 8.532414f, 11.048275f, 7.693794f, 12.725516f}) }, { // in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // placeholder10 .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}) }, { // 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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_nchw_relaxed_all_inputs_as_internal_2 = TestModelManager::get().add("instance_normalization_nchw_relaxed_all_inputs_as_internal_2", get_test_model_nchw_relaxed_all_inputs_as_internal_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_float16_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // param3 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({2.0f}) }, { // param4 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f}) }, { // param5 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f, 10.0f, 10.0f, 10.0f, 7.705939292907715f, 9.541187286376953f, 9.541187286376953f, 13.211685180664062f, 11.999899864196777f, 8.000100135803223f, 8.000100135803223f, 11.999899864196777f, 8.532414436340332f, 11.048274993896484f, 7.693793773651123f, 12.725516319274902f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw_float16_2 = TestModelManager::get().add("instance_normalization_nchw_float16_2", get_test_model_nchw_float16_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_nchw_float16_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // in1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param3 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({2.0f}) }, { // param4 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f}) }, { // param5 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out1 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({10.0f, 10.0f, 10.0f, 10.0f, 7.705939292907715f, 9.541187286376953f, 9.541187286376953f, 13.211685180664062f, 11.999899864196777f, 8.000100135803223f, 8.000100135803223f, 11.999899864196777f, 8.532414436340332f, 11.048274993896484f, 7.693793773651123f, 12.725516319274902f}) }, { // in1_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {2, 2, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 2.0f, 4.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 4.0f}) }, { // 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}) }, { // param20 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_nchw_float16_all_inputs_as_internal_2 = TestModelManager::get().add("instance_normalization_nchw_float16_all_inputs_as_internal_2", get_test_model_nchw_float16_all_inputs_as_internal_2()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nhwc() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nhwc = TestModelManager::get().add("instance_normalization_large_nhwc", get_test_model_large_nhwc()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nhwc_all_inputs_as_internal() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }, { // in2_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // 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}) }, { // param21 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nhwc_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_large_nhwc_all_inputs_as_internal", get_test_model_large_nhwc_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nhwc_relaxed() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_large_nhwc_relaxed = TestModelManager::get().add("instance_normalization_large_nhwc_relaxed", get_test_model_large_nhwc_relaxed()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nhwc_relaxed_all_inputs_as_internal() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }, { // in2_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // 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}) }, { // param22 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_large_nhwc_relaxed_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_large_nhwc_relaxed_all_inputs_as_internal", get_test_model_large_nhwc_relaxed_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nhwc_float16() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({198.0f, 198.0f, 202.0f, 202.0f}) }, { // param6 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param7 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param8 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({-0.9999874830245972f, -0.9999874830245972f, 0.9999874830245972f, 0.9999874830245972f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nhwc_float16 = TestModelManager::get().add("instance_normalization_large_nhwc_float16", get_test_model_large_nhwc_float16()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nhwc_float16_all_inputs_as_internal() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param6 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param7 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param8 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({false}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({-0.9999874830245972f, -0.9999874830245972f, 0.9999874830245972f, 0.9999874830245972f}) }, { // in2_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 2, 2, 1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({198.0f, 198.0f, 202.0f, 202.0f}) }, { // placeholder14 .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}) }, { // param23 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nhwc_float16_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_large_nhwc_float16_all_inputs_as_internal", get_test_model_large_nhwc_float16_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nchw() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nchw = TestModelManager::get().add("instance_normalization_large_nchw", get_test_model_large_nchw()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nchw_all_inputs_as_internal() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }, { // in2_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // placeholder15 .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}) }, { // param24 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nchw_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_large_nchw_all_inputs_as_internal", get_test_model_large_nchw_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nchw_relaxed() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_large_nchw_relaxed = TestModelManager::get().add("instance_normalization_large_nchw_relaxed", get_test_model_large_nchw_relaxed()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nchw_relaxed_all_inputs_as_internal() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param6 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f}) }, { // param7 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0001f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.9999875f, -0.9999875f, 0.9999875f, 0.9999875f}) }, { // in2_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({198.0f, 198.0f, 202.0f, 202.0f}) }, { // placeholder16 .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}) }, { // param25 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_large_nchw_relaxed_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_large_nchw_relaxed_all_inputs_as_internal", get_test_model_large_nchw_relaxed_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nchw_float16() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({198.0f, 198.0f, 202.0f, 202.0f}) }, { // param6 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param7 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param8 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({-0.9999874830245972f, -0.9999874830245972f, 0.9999874830245972f, 0.9999874830245972f}) }}, .operations = {{ .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {0}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nchw_float16 = TestModelManager::get().add("instance_normalization_large_nchw_float16", get_test_model_large_nchw_float16()); } // namespace generated_tests::instance_normalization namespace generated_tests::instance_normalization { const TestModel& get_test_model_large_nchw_float16_all_inputs_as_internal() { static TestModel model = { .main = { // large .operands = {{ // in2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // param6 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f}) }, { // param7 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({0.0f}) }, { // param8 .type = TestOperandType::FLOAT16, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({9.999999747378752e-05f}) }, { // layout .type = TestOperandType::BOOL, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({true}) }, { // out2 .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({-0.9999874830245972f, -0.9999874830245972f, 0.9999874830245972f, 0.9999874830245972f}) }, { // in2_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {1, 1, 2, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({198.0f, 198.0f, 202.0f, 202.0f}) }, { // placeholder17 .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}) }, { // param26 .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 = {6, 7, 8}, .outputs = {0} }, { .type = TestOperationType::INSTANCE_NORMALIZATION, .inputs = {0, 1, 2, 3, 4}, .outputs = {5} }}, .inputIndexes = {6}, .outputIndexes = {5} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_large_nchw_float16_all_inputs_as_internal = TestModelManager::get().add("instance_normalization_large_nchw_float16_all_inputs_as_internal", get_test_model_large_nchw_float16_all_inputs_as_internal()); } // namespace generated_tests::instance_normalization