// Generated from densify_6.mod.py // DO NOT EDIT // clang-format off #include "TestHarness.h" using namespace test_helper; // NOLINT(google-build-using-namespace) namespace generated_tests::densify_6 { const TestModel& get_test_model() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model = TestModelManager::get().add("densify_6", get_test_model()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // sparseData_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // 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}) }, { // param .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 = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("densify_6_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_all_tensors_as_inputs() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("densify_6_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // sparseData_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // 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}) }, { // param1 .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 = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("densify_6_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_relaxed() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed = TestModelManager::get().add("densify_6_relaxed", get_test_model_relaxed()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_relaxed_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // sparseData_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // placeholder2 .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}) }, { // param2 .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 = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_all_inputs_as_internal = TestModelManager::get().add("densify_6_relaxed_all_inputs_as_internal", get_test_model_relaxed_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_relaxed_all_tensors_as_inputs() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_all_tensors_as_inputs = TestModelManager::get().add("densify_6_relaxed_all_tensors_as_inputs", get_test_model_relaxed_all_tensors_as_inputs()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_relaxed_all_tensors_as_inputs_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // sparseData_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // 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}) }, { // param3 .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 = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = true, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_relaxed_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("densify_6_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_relaxed_all_tensors_as_inputs_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float16() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float16 = TestModelManager::get().add("densify_6_float16", get_test_model_float16()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float16_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // sparseData_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // placeholder4 .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}) }, { // param4 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float16_all_inputs_as_internal = TestModelManager::get().add("densify_6_float16_all_inputs_as_internal", get_test_model_float16_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float16_all_tensors_as_inputs() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float16_all_tensors_as_inputs = TestModelManager::get().add("densify_6_float16_all_tensors_as_inputs", get_test_model_float16_all_tensors_as_inputs()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 2.0f, 3.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // sparseData_new .type = TestOperandType::TENSOR_FLOAT16, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector<_Float16>({1.0f, 0.0f, 0.0f, 4.0f, 2.0f, 3.0f, 0.0f, 0.0f}) }, { // 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}) }, { // param5 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("densify_6_float16_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_int32() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_INT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 4, 2, 3, 0, 0}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_INT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 2, 3, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_int32 = TestModelManager::get().add("densify_6_int32", get_test_model_int32()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_int32_all_tensors_as_inputs() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_INT32, .dimensions = {8}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 4, 2, 3, 0, 0}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_INT32, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 2, 3, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_int32_all_tensors_as_inputs = TestModelManager::get().add("densify_6_int32_all_tensors_as_inputs", get_test_model_int32_all_tensors_as_inputs()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float32() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_SYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.125f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 2, 1, 1, 0, 0}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_SYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.125f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 1, 1, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float32 = TestModelManager::get().add("densify_6_float32", get_test_model_float32()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float32_all_tensors_as_inputs() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_SYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.125f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 2, 1, 1, 0, 0}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_SYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.125f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 1, 1, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float32_all_tensors_as_inputs = TestModelManager::get().add("densify_6_float32_all_tensors_as_inputs", get_test_model_float32_all_tensors_as_inputs()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8 = TestModelManager::get().add("densify_6_quant8", get_test_model_quant8()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}) }, { // sparseData_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2}) }, { // placeholder6 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // param6 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8_all_inputs_as_internal = TestModelManager::get().add("densify_6_quant8_all_inputs_as_internal", get_test_model_quant8_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8_all_tensors_as_inputs() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8_all_tensors_as_inputs = TestModelManager::get().add("densify_6_quant8_all_tensors_as_inputs", get_test_model_quant8_all_tensors_as_inputs()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}) }, { // sparseData_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 3, 2, 3, 2, 2}) }, { // placeholder7 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 4.5f, .zeroPoint = 2, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2}) }, { // param7 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("densify_6_quant8_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8_signed() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 24, 26, 25, 25, 24, 24}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 25, 25, 24, 26, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8_signed = TestModelManager::get().add("densify_6_quant8_signed", get_test_model_quant8_signed()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8_signed_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 25, 25, 24, 26, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24}) }, { // sparseData_new .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 24, 26, 25, 25, 24, 24}) }, { // placeholder8 .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {1}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24}) }, { // param8 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8_signed_all_inputs_as_internal = TestModelManager::get().add("densify_6_quant8_signed_all_inputs_as_internal", get_test_model_quant8_signed_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8_signed_all_tensors_as_inputs() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 24, 26, 25, 25, 24, 24}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 25, 25, 24, 26, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8_signed_all_tensors_as_inputs = TestModelManager::get().add("densify_6_quant8_signed_all_tensors_as_inputs", get_test_model_quant8_signed_all_tensors_as_inputs()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 25, 25, 24, 26, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24}) }, { // sparseData_new .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24, 24, 24, 26, 25, 25, 24, 24}) }, { // placeholder9 .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, .dimensions = {1}, .numberOfConsumers = 1, .scale = 2.5f, .zeroPoint = 24, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({24}) }, { // 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 = {14, 15, 16}, .outputs = {0} }, { .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("densify_6_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_quant8_signed_all_tensors_as_inputs_all_inputs_as_internal()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float32_2() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT16_SYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 3.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 1, 1, 1, 0, 0}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT16_SYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 3.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float32_2 = TestModelManager::get().add("densify_6_float32_2", get_test_model_float32_2()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float32_all_tensors_as_inputs_2() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT16_SYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 3.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 1, 1, 1, 0, 0}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT16_SYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 3.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float32_all_tensors_as_inputs_2 = TestModelManager::get().add("densify_6_float32_all_tensors_as_inputs_2", get_test_model_float32_all_tensors_as_inputs_2()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float32_3() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT16_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.3f, .zeroPoint = 8, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({8, 8, 8, 10, 9, 9, 8, 8}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT16_ASYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.3f, .zeroPoint = 8, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({8, 8, 9, 9, 8, 10, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float32_3 = TestModelManager::get().add("densify_6_float32_3", get_test_model_float32_3()); } // namespace generated_tests::densify_6 namespace generated_tests::densify_6 { const TestModel& get_test_model_float32_all_tensors_as_inputs_3() { static TestModel model = { .main = { .operands = {{ // sparseData .type = TestOperandType::TENSOR_QUANT16_ASYMM, .dimensions = {8}, .numberOfConsumers = 1, .scale = 2.3f, .zeroPoint = 8, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({8, 8, 8, 10, 9, 9, 8, 8}) }, { // traversalOrder .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3}) }, { // blockMap .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // dimFormat .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 0, 0}) }, { // dimensions .type = TestOperandType::TENSOR_INT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2}) }, { // d0ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d0ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d1ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 2, 2}) }, { // d1ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1}) }, { // d2ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d2ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrSegments .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // d3ArrIndices .type = TestOperandType::TENSOR_INT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // denseOut .type = TestOperandType::TENSOR_QUANT16_ASYMM, .dimensions = {4, 4}, .numberOfConsumers = 0, .scale = 2.3f, .zeroPoint = 8, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({8, 8, 9, 9, 8, 10, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8}) }}, .operations = {{ .type = TestOperationType::DENSIFY, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputs = {13} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, .outputIndexes = {13} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::UNKNOWN }; return model; } const auto dummy_test_model_float32_all_tensors_as_inputs_3 = TestModelManager::get().add("densify_6_float32_all_tensors_as_inputs_3", get_test_model_float32_all_tensors_as_inputs_3()); } // namespace generated_tests::densify_6