yeyunpeng
5 years ago
parent
9ab4f1237b
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/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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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 "src/ops/return.h"
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#include <memory>
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namespace mindspore {
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namespace lite {
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#ifdef PRIMITIVE_WRITEABLE
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int Return::UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inputs) {
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if (this->primitive_ == nullptr) {
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this->primitive_ = new (std::nothrow) schema::PrimitiveT;
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if (this->primitive_ == nullptr) {
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MS_LOG(ERROR) << "new primitiveT failed";
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return RET_ERROR;
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}
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this->primitive_->value.type = schema::PrimitiveType_Return;
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}
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if (this->primitive_->value.type != schema::PrimitiveType_Return) {
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MS_LOG(ERROR) << "Primitive type is error :" << this->primitive_->value.type;
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return RET_ERROR;
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}
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if (this->primitive_->value.value == nullptr) {
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auto attr = new (std::nothrow) schema::ReturnT();
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if (attr == nullptr) {
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MS_LOG(ERROR) << "new primitiveT value failed";
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return RET_ERROR;
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}
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this->primitive_->value.value = attr;
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if (this->primitive_->value.value == nullptr) {
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MS_LOG(ERROR) << "primitive value is nullptr";
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return RET_ERROR;
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}
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}
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return RET_OK;
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}
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#endif
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namespace {
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constexpr size_t kInputSize = 1;
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constexpr size_t kOutputSize = 1;
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} // namespace
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int Return::InferShape(std::vector<tensor::Tensor *> inputs_, std::vector<tensor::Tensor *> outputs_) {
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if (inputs_.size() != kInputSize || outputs_.size() != kOutputSize) {
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return RET_ERROR;
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}
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auto input = inputs_.front();
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auto output = outputs_.front();
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if (input == nullptr || output == nullptr) {
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return RET_NULL_PTR;
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}
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output->set_data_type(input->data_type());
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output->SetFormat(input->GetFormat());
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if (!GetInferFlag()) {
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return RET_OK;
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}
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if (this->primitive_ == nullptr) {
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return RET_NULL_PTR;
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}
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output->set_data_type(input->data_type());
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output->set_shape(input->shape());
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output->SetFormat(input->GetFormat());
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return RET_OK;
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}
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} // namespace lite
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} // namespace mindspore
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@ -0,0 +1,43 @@
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/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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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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#ifndef LITE_MINDSPORE_LITE_C_OPS_RETURN_H_
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#define LITE_MINDSPORE_LITE_C_OPS_RETURN_H_
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#include <vector>
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#include <set>
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#include <cmath>
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#include "ir/dtype/type_id.h"
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#include "src/ops/primitive_c.h"
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namespace mindspore {
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namespace lite {
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class Return : public PrimitiveC {
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public:
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#ifdef PRIMITIVE_WRITEABLE
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MS_DECLARE_PARENT(Return, PrimitiveC);
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Return() = default;
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explicit Return(schema::PrimitiveT *primitive) : PrimitiveC(primitive) {}
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int UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inputs);
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#else
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explicit Return(schema::Primitive *primitive) : PrimitiveC(primitive) {}
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#endif
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int InferShape(std::vector<lite::tensor::Tensor *> inputs_, std::vector<lite::tensor::Tensor *> outputs_) override;
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};
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} // namespace lite
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} // namespace mindspore
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#endif // LITE_MINDSPORE_LITE_C_OPS_RETURN_H_
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