wehub-resource-sync
142 lines
5.0 KiB
C++
142 lines
5.0 KiB
C++
/* 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 <memory>
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#include "paddle/fluid/framework/convert_utils.h"
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#include "paddle/fluid/framework/infershape_utils.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/phi/common/float16.h"
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#include "paddle/phi/core/infermeta_utils.h"
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#include "paddle/phi/infermeta/unary.h"
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#include "paddle/fluid/prim/api/composite_backward/composite_backward_api.h"
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#include "paddle/fluid/prim/utils/static/composite_grad_desc_maker.h"
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#include "paddle/fluid/prim/utils/static/desc_tensor.h"
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#include "paddle/phi/core/utils/data_type.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 the Output phi::DenseTensor. It's meaningless if the output dtype equals
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the input dtype, but it's fine if you do so.
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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 CastOpGradMaker : public framework::SingleGradOpMaker<T> {
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public:
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using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
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protected:
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void Apply(GradOpPtr<T> grad) const override {
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grad->SetType("cast");
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grad->SetInput("X", this->OutputGrad("Out"));
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grad->SetOutput("Out", this->InputGrad("X"));
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grad->SetAttr("out_dtype", this->GetAttr("in_dtype"));
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grad->SetAttr("in_dtype", this->GetAttr("out_dtype"));
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}
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};
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class CastCompositeGradOpMaker : public prim::CompositeGradOpMakerBase {
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public:
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using prim::CompositeGradOpMakerBase::CompositeGradOpMakerBase;
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void Apply() override {
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paddle::Tensor x = this->GetSingleForwardInput("X");
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paddle::Tensor out_grad = this->GetSingleOutputGrad("Out");
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// get outputs
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paddle::Tensor x_grad_t = this->GetSingleInputGrad("X");
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paddle::Tensor *x_grad = this->GetOutputPtr(&x_grad_t);
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std::string x_grad_name = this->GetOutputName(x_grad_t);
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VLOG(6) << "Running cast_grad composite func";
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prim::cast_grad<prim::DescTensor>(x, out_grad, x_grad);
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this->RecoverOutputName(x_grad_t, x_grad_name);
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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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phi::KernelKey GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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// CastOp kernel's device type is decided by input tensor place
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auto *tensor = ctx.Input<DenseTensor>("X");
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PADDLE_ENFORCE_EQ(tensor->IsInitialized(),
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true,
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common::errors::PreconditionNotMet(
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"The tensor of Input(X) is not initialized."));
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auto &tensor_place = tensor->place();
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// NOTE: cuda pinned tensor need to copy its data to target place
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if (tensor_place.GetType() == phi::AllocationType::GPUPINNED) {
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return phi::KernelKey(framework::TransToProtoVarType(tensor->dtype()),
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ctx.device_context().GetPlace());
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}
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// NOTE(jiahongyu): Below codes originally enclosed by PADDLE_WITH_DNNL
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int in_dtype = ctx.Attr<int>("in_dtype");
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int out_dtype = ctx.Attr<int>("out_dtype");
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int dtype_fp32 = static_cast<int>(framework::proto::VarType::FP32);
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int dtype_bf16 = static_cast<int>(framework::proto::VarType::BF16);
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if ((in_dtype != dtype_fp32 && in_dtype != dtype_bf16) ||
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(out_dtype != dtype_fp32 && out_dtype != dtype_bf16)) {
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this->SetDnnFallback(true);
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}
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// NOTE(jiahongyu): Above codes originally enclosed by PADDLE_WITH_DNNL
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return phi::KernelKey(framework::TransToProtoVarType(tensor->dtype()),
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tensor_place);
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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 = phi::CPUContext;
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DECLARE_INFER_SHAPE_FUNCTOR(cast,
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CastInferShapeFunctor,
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PD_INFER_META(phi::CastInferMeta));
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// cast use phi kernel, so no need to REGISTER_OP_CPU_KERNEL here.
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REGISTER_OPERATOR(cast,
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ops::CastOp,
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ops::CastOpGradMaker<paddle::framework::OpDesc>,
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ops::CastOpGradMaker<paddle::imperative::OpBase>,
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ops::CastCompositeGradOpMaker,
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ops::CastOpProtoMaker,
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CastInferShapeFunctor);
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