/* * Copyright (c) 2022 Huawei Device Co., Ltd. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef NEURAL_NETWORK_RUNTIME_VALIDATION_H #define NEURAL_NETWORK_RUNTIME_VALIDATION_H #include "common/log.h" #include "interfaces/kits/c/neural_network_runtime.h" namespace OHOS { namespace NeuralNetworkRuntime { namespace Validation { template OH_NN_ReturnCode ValidateArray(const T* data, size_t size) { if ((data != nullptr) != (size > 0)) { LOGE("ValidateArray failed, data is %p but the length is %zu", data, size); return OH_NN_INVALID_PARAMETER; } return OH_NN_SUCCESS; } bool ValidateTensorType(OH_NN_TensorType nnTensorType); bool ValidateTensorDataType(OH_NN_DataType dataType); bool ValidatePerformanceMode(OH_NN_PerformanceMode performanceMode); bool ValidatePriority(OH_NN_Priority priority); bool ValidateFuseType(OH_NN_FuseType fuseType); bool ValidatePadMode(int8_t padMode); } // namespace Validation } // NeuralNetworkRuntime } // namespace OHOS #endif // NEURAL_NETWORK_RUNTIME_VALIDATION_H