/* * 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. */ #include "fill_builder.h" #include "mindir.h" #include "frameworks/native/ops_registry.h" namespace OHOS { namespace NeuralNetworkRuntime { namespace Ops { static const int INPUT_NUM = 2; static const int OUTPUT_NUM = 1; static const std::string OP_NAME = "Fill"; FillBuilder::FillBuilder() {} FillBuilder::~FillBuilder() {} OH_NN_ReturnCode FillBuilder::Build(const std::vector& paramsIndex, const std::vector& inputsIndex, const std::vector& outputsIndex, const std::vector>& allTensors) { if (m_isBuild) { LOGE("[Fill] Build failed, fill operation has been build, cannot build again."); return OH_NN_OPERATION_FORBIDDEN; } OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM); if (returnCode != OH_NN_SUCCESS) { LOGE("[Fill] Fill Build failed, Passed invalid input or output indices."); return returnCode; } if (!paramsIndex.empty()) { LOGW("[Fill] Build failed, fill expects no parameters, but receive %zu", paramsIndex.size()); return OH_NN_INVALID_PARAMETER; } m_inputsIndex = inputsIndex; m_outputsIndex = outputsIndex; // The quantization type of the first output determinies that of the operator. SetQuantType(outputsIndex, allTensors); m_isBuild = true; m_name = OP_NAME; return OH_NN_SUCCESS; } LiteGraphPrimitvePtr FillBuilder::GetPrimitive() { if (!m_isBuild) { LOGE("[Fill] GetPrimitive failed, cannot get primitive before call build."); return {nullptr, DestroyLiteGraphPrimitive}; } void* primitive = mindspore::lite::MindIR_Fill_CreatePrimitive(); LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive); return graphPrimitivePtr; } REGISTER_OPS(FillBuilder, OH_NN_OPS_FILL); } // namespace Ops } // namespace NeuralNetworkRuntime } // namespace OHOS