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94 lines
3.3 KiB
94 lines
3.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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/cast_op.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/platform/float16.h"
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namespace paddle {
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namespace operators {
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class CastOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "The input tensor of cast op");
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AddOutput("Out", "The output tensor of cast op");
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AddAttr<int>("out_dtype", "output data type");
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AddAttr<int>("in_dtype", "input data type");
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AddComment(R"DOC(
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Cast Operator.
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This Operator casts the input tensor to another data type and
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returns tha Output Tensor.
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)DOC");
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}
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};
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class CastOpInferShape : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext *context) const override {
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PADDLE_ENFORCE(context->HasInput("X"), "The input of cast op must be set");
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PADDLE_ENFORCE(context->HasOutput("Out"),
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"The output of cast op must be set");
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context->SetOutputDim("Out", context->GetInputDim("X"));
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context->ShareLoD("X", "Out");
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}
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};
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class CastOpGradMaker : public framework::SingleGradOpDescMaker {
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public:
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using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;
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protected:
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std::unique_ptr<framework::OpDesc> Apply() const override {
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auto grad = new framework::OpDesc();
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grad->SetType("cast");
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grad->SetInput("X", OutputGrad("Out"));
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grad->SetOutput("Out", InputGrad("X"));
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grad->SetAttr("out_dtype", GetAttr("in_dtype"));
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grad->SetAttr("in_dtype", GetAttr("out_dtype"));
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return std::unique_ptr<framework::OpDesc>(grad);
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}
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};
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class CastOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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framework::OpKernelType kt = OperatorWithKernel::GetExpectedKernelType(ctx);
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// CastOp kernel's device type is decided by input tensor place
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kt.place_ = ctx.Input<framework::LoDTensor>("X")->place();
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return kt;
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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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using CPU = paddle::platform::CPUDeviceContext;
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REGISTER_OPERATOR(cast, ops::CastOp, ops::CastOpGradMaker,
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ops::CastOpInferShape, ops::CastOpProtoMaker);
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REGISTER_OP_CPU_KERNEL(cast, ops::CastOpKernel<CPU, float>,
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ops::CastOpKernel<CPU, double>,
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ops::CastOpKernel<CPU, int>,
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ops::CastOpKernel<CPU, int64_t>,
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ops::CastOpKernel<CPU, bool>,
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ops::CastOpKernel<CPU, uint8_t>,
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ops::CastOpKernel<CPU, paddle::platform::float16>);
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