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88 lines
2.8 KiB
88 lines
2.8 KiB
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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#include "paddle/fluid/operators/conj_op.h"
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <vector>
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#ifdef PADDLE_WITH_MKLDNN
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#include "paddle/fluid/platform/mkldnn_helper.h"
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#endif
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namespace paddle {
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namespace operators {
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class ConjOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext *ctx) const override {
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OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "conj");
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OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "conj");
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auto in_dims = ctx->GetInputDim("X");
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ctx->SetOutputDim("Out", in_dims);
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ctx->ShareLoD("X", /*->*/ "Out");
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}
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};
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class ConjOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "(Tensor), The input tensor of conj op.");
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AddOutput("Out", "(Tensor), The output tensor of conj op.");
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AddComment(R"DOC(
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Conj Operator.
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This operator is used to perform elementwise conjugate for input $X$.
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)DOC");
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}
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};
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template <typename T>
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class ConjGradMaker : public framework::SingleGradOpMaker<T> {
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public:
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using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
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void Apply(GradOpPtr<T> retv) const override {
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retv->SetType("conj");
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retv->SetInput("X", this->OutputGrad("Out"));
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retv->SetAttrMap(this->Attrs());
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retv->SetOutput("Out", this->InputGrad("X"));
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(conj, ops::ConjOp, ops::ConjOpMaker,
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ops::ConjGradMaker<paddle::framework::OpDesc>,
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ops::ConjGradMaker<paddle::imperative::OpBase>);
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REGISTER_OP_CPU_KERNEL(
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conj, ops::ConjKernel<paddle::platform::CPUDeviceContext,
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paddle::platform::complex64>,
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ops::ConjKernel<paddle::platform::CPUDeviceContext,
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paddle::platform::complex128>,
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ops::ConjKernel<paddle::platform::CPUDeviceContext, float>,
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ops::ConjKernel<paddle::platform::CPUDeviceContext, double>,
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ops::ConjKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ConjKernel<paddle::platform::CPUDeviceContext, int64_t>);
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