Loading neuralnetworks/1.2/types.hal +24 −0 Original line number Diff line number Diff line Loading @@ -46,6 +46,18 @@ enum OperandType : @1.0::OperandType { TENSOR_FLOAT16 = 8, }; /** * The range of values in the OperandType enum. * * THE MAX VALUES MUST BE UPDATED WHEN ADDING NEW TYPES to the OperandType enum. */ enum OperandTypeRange : uint32_t { OPERAND_FUNDAMENTAL_MIN = 0, OPERAND_FUNDAMENTAL_MAX = 8, OPERAND_OEM_MIN = 10000, OPERAND_OEM_MAX = 10001, }; /** * Operation types. * Loading Loading @@ -105,6 +117,18 @@ enum OperationType : @1.1::OperationType { ROTATED_BBOX_TRANSFORM = 87, }; /** * The range of values in the OperationType enum. * * THE MAX VALUES MUST BE UPDATED WHEN ADDING NEW TYPES to the OperationType enum. */ enum OperationTypeRange : uint32_t { OPERATION_FUNDAMENTAL_MIN = 0, OPERATION_FUNDAMENTAL_MAX = 87, OPERATION_OEM_MIN = 10000, OPERATION_OEM_MAX = 10000, }; /** * Describes one operation of the model's graph. */ Loading neuralnetworks/1.2/vts/functional/ValidateModel.cpp +12 −12 Original line number Diff line number Diff line Loading @@ -128,16 +128,16 @@ static uint32_t addOperand(Model* model, OperandLifeTime lifetime) { ///////////////////////// VALIDATE MODEL OPERAND TYPE ///////////////////////// static const int32_t invalidOperandTypes[] = { static_cast<int32_t>(OperandType::FLOAT32) - 1, // lower bound fundamental static_cast<int32_t>(OperandType::TENSOR_QUANT16_ASYMM) + 1, // upper bound fundamental static_cast<int32_t>(OperandType::OEM) - 1, // lower bound OEM static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) + 1, // upper bound OEM static const uint32_t invalidOperandTypes[] = { static_cast<uint32_t>(OperandTypeRange::OPERAND_FUNDAMENTAL_MIN) - 1, static_cast<uint32_t>(OperandTypeRange::OPERAND_FUNDAMENTAL_MAX) + 1, static_cast<uint32_t>(OperandTypeRange::OPERAND_OEM_MIN) - 1, static_cast<uint32_t>(OperandTypeRange::OPERAND_OEM_MAX) + 1, }; static void mutateOperandTypeTest(const sp<IDevice>& device, const Model& model) { for (size_t operand = 0; operand < model.operands.size(); ++operand) { for (int32_t invalidOperandType : invalidOperandTypes) { for (uint32_t invalidOperandType : invalidOperandTypes) { const std::string message = "mutateOperandTypeTest: operand " + std::to_string(operand) + " set to value " + std::to_string(invalidOperandType); Loading Loading @@ -329,16 +329,16 @@ static void mutateOperationOperandTypeTest(const sp<IDevice>& device, const Mode ///////////////////////// VALIDATE MODEL OPERATION TYPE ///////////////////////// static const int32_t invalidOperationTypes[] = { static_cast<int32_t>(OperationType::ADD) - 1, // lower bound fundamental static_cast<int32_t>(OperationType::TRANSPOSE) + 1, // upper bound fundamental static_cast<int32_t>(OperationType::OEM_OPERATION) - 1, // lower bound OEM static_cast<int32_t>(OperationType::OEM_OPERATION) + 1, // upper bound OEM static const uint32_t invalidOperationTypes[] = { static_cast<uint32_t>(OperationTypeRange::OPERATION_FUNDAMENTAL_MIN) - 1, static_cast<uint32_t>(OperationTypeRange::OPERATION_FUNDAMENTAL_MAX) + 1, static_cast<uint32_t>(OperationTypeRange::OPERATION_OEM_MIN) - 1, static_cast<uint32_t>(OperationTypeRange::OPERATION_OEM_MAX) + 1, }; static void mutateOperationTypeTest(const sp<IDevice>& device, const Model& model) { for (size_t operation = 0; operation < model.operations.size(); ++operation) { for (int32_t invalidOperationType : invalidOperationTypes) { for (uint32_t invalidOperationType : invalidOperationTypes) { const std::string message = "mutateOperationTypeTest: operation " + std::to_string(operation) + " set to value " + std::to_string(invalidOperationType); Loading Loading
neuralnetworks/1.2/types.hal +24 −0 Original line number Diff line number Diff line Loading @@ -46,6 +46,18 @@ enum OperandType : @1.0::OperandType { TENSOR_FLOAT16 = 8, }; /** * The range of values in the OperandType enum. * * THE MAX VALUES MUST BE UPDATED WHEN ADDING NEW TYPES to the OperandType enum. */ enum OperandTypeRange : uint32_t { OPERAND_FUNDAMENTAL_MIN = 0, OPERAND_FUNDAMENTAL_MAX = 8, OPERAND_OEM_MIN = 10000, OPERAND_OEM_MAX = 10001, }; /** * Operation types. * Loading Loading @@ -105,6 +117,18 @@ enum OperationType : @1.1::OperationType { ROTATED_BBOX_TRANSFORM = 87, }; /** * The range of values in the OperationType enum. * * THE MAX VALUES MUST BE UPDATED WHEN ADDING NEW TYPES to the OperationType enum. */ enum OperationTypeRange : uint32_t { OPERATION_FUNDAMENTAL_MIN = 0, OPERATION_FUNDAMENTAL_MAX = 87, OPERATION_OEM_MIN = 10000, OPERATION_OEM_MAX = 10000, }; /** * Describes one operation of the model's graph. */ Loading
neuralnetworks/1.2/vts/functional/ValidateModel.cpp +12 −12 Original line number Diff line number Diff line Loading @@ -128,16 +128,16 @@ static uint32_t addOperand(Model* model, OperandLifeTime lifetime) { ///////////////////////// VALIDATE MODEL OPERAND TYPE ///////////////////////// static const int32_t invalidOperandTypes[] = { static_cast<int32_t>(OperandType::FLOAT32) - 1, // lower bound fundamental static_cast<int32_t>(OperandType::TENSOR_QUANT16_ASYMM) + 1, // upper bound fundamental static_cast<int32_t>(OperandType::OEM) - 1, // lower bound OEM static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) + 1, // upper bound OEM static const uint32_t invalidOperandTypes[] = { static_cast<uint32_t>(OperandTypeRange::OPERAND_FUNDAMENTAL_MIN) - 1, static_cast<uint32_t>(OperandTypeRange::OPERAND_FUNDAMENTAL_MAX) + 1, static_cast<uint32_t>(OperandTypeRange::OPERAND_OEM_MIN) - 1, static_cast<uint32_t>(OperandTypeRange::OPERAND_OEM_MAX) + 1, }; static void mutateOperandTypeTest(const sp<IDevice>& device, const Model& model) { for (size_t operand = 0; operand < model.operands.size(); ++operand) { for (int32_t invalidOperandType : invalidOperandTypes) { for (uint32_t invalidOperandType : invalidOperandTypes) { const std::string message = "mutateOperandTypeTest: operand " + std::to_string(operand) + " set to value " + std::to_string(invalidOperandType); Loading Loading @@ -329,16 +329,16 @@ static void mutateOperationOperandTypeTest(const sp<IDevice>& device, const Mode ///////////////////////// VALIDATE MODEL OPERATION TYPE ///////////////////////// static const int32_t invalidOperationTypes[] = { static_cast<int32_t>(OperationType::ADD) - 1, // lower bound fundamental static_cast<int32_t>(OperationType::TRANSPOSE) + 1, // upper bound fundamental static_cast<int32_t>(OperationType::OEM_OPERATION) - 1, // lower bound OEM static_cast<int32_t>(OperationType::OEM_OPERATION) + 1, // upper bound OEM static const uint32_t invalidOperationTypes[] = { static_cast<uint32_t>(OperationTypeRange::OPERATION_FUNDAMENTAL_MIN) - 1, static_cast<uint32_t>(OperationTypeRange::OPERATION_FUNDAMENTAL_MAX) + 1, static_cast<uint32_t>(OperationTypeRange::OPERATION_OEM_MIN) - 1, static_cast<uint32_t>(OperationTypeRange::OPERATION_OEM_MAX) + 1, }; static void mutateOperationTypeTest(const sp<IDevice>& device, const Model& model) { for (size_t operation = 0; operation < model.operations.size(); ++operation) { for (int32_t invalidOperationType : invalidOperationTypes) { for (uint32_t invalidOperationType : invalidOperationTypes) { const std::string message = "mutateOperationTypeTest: operation " + std::to_string(operation) + " set to value " + std::to_string(invalidOperationType); Loading