mirror of
https://github.com/openharmony/neural_network_runtime.git
synced 2026-07-01 08:12:02 -04:00
yangyongjie
90 lines
3.1 KiB
C++
90 lines
3.1 KiB
C++
/*
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* Copyright (c) 2022 Huawei Device Co., Ltd.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "cast_builder.h"
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#include "frameworks/native/transform.h"
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#include "frameworks/native/validation.h"
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namespace OHOS {
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namespace NeuralNetworkRuntime {
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namespace Ops {
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static const int INPUT_NUM = 2;
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static const int OUTPUT_NUM = 1;
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static const int INPUT_TYPE = 1;
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static const std::string OP_NAME = "Cast";
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CastBuilder::CastBuilder() {}
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CastBuilder::~CastBuilder() {}
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OH_NN_ReturnCode CastBuilder::Build(const std::vector<uint32_t>& paramsIndex,
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const std::vector<uint32_t>& inputsIndex,
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const std::vector<uint32_t>& outputsIndex,
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const std::vector<std::shared_ptr<NNTensor>>& allTensors)
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{
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if (m_isBuild) {
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LOGE("[Cast] Build failed, operation has been build, cannot build again.");
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return OH_NN_OPERATION_FORBIDDEN;
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}
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auto ret = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
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if (ret != OH_NN_SUCCESS) {
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LOGE("[Cast] Build failed, the input or output index of Cast operation is invalid.");
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return ret;
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}
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m_inputsIndex = inputsIndex;
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m_outputsIndex = outputsIndex;
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auto castType = allTensors[inputsIndex[INPUT_TYPE]]->GetBuffer();
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if (castType == nullptr) {
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LOGE("[Cast] Build castType GetBuffer return nullptr.");
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return OH_NN_INVALID_PARAMETER;
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}
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OH_NN_DataType* castTypeInt = reinterpret_cast<OH_NN_DataType *>(castType);
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if (!Validation::ValidateTensorDataType(*castTypeInt)) {
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LOGE("[Cast] Type of cast operator is not validation.");
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return OH_NN_INVALID_PARAMETER;
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}
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*castTypeInt = (OH_NN_DataType)NNToHDI::TransDataType(*castTypeInt);
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if (!paramsIndex.empty()) {
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LOGE("[Cast] Cast expects no parameters");
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return OH_NN_INVALID_PARAMETER;
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}
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// The quantization type of the first output determinies that of the operator.
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SetQuantType(outputsIndex, allTensors);
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m_isBuild = true;
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m_name = OP_NAME;
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return OH_NN_SUCCESS;
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}
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LiteGraphPrimitvePtr CastBuilder::GetPrimitive()
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{
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if (!m_isBuild) {
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LOGE("[Cast] Cannot get primitive before call build.");
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return {nullptr, DestroyLiteGraphPrimitive};
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}
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void* primitive = mindspore::lite::MindIR_Cast_CreatePrimitive();
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LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
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return graphPrimitivePtr;
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}
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REGISTER_OPS(CastBuilder, OH_NN_OPS_CAST);
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} // namespace Ops
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} // namespace NeuralNetworkRuntime
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} // namespace OHOS
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