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102 lines
3.1 KiB
102 lines
3.1 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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#pragma once
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/norm_utils.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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using LoDTensor = framework::LoDTensor;
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using DataLayout = framework::DataLayout;
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template <typename T>
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using EigenArrayMap =
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Eigen::Map<Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic>>;
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template <typename T>
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using ConstEigenArrayMap =
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Eigen::Map<const Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic>>;
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template <typename T>
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using EigenVectorArrayMap = Eigen::Map<Eigen::Array<T, Eigen::Dynamic, 1>>;
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template <typename T>
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using ConstEigenVectorArrayMap =
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Eigen::Map<const Eigen::Array<T, Eigen::Dynamic, 1>>;
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class BatchNormOp : 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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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override;
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};
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class BatchNormGradOp : 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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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override;
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};
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class BatchNormOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override;
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};
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class BatchNormGradMaker : 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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virtual std::string GradOpType() const {
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return this->ForwardOpType() + "_grad";
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}
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};
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class BatchNormOpInferVarType
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: public framework::PassInDtypeAndVarTypeToOutput {
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protected:
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std::unordered_map<std::string, std::string> GetInputOutputWithSameType()
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const override {
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return std::unordered_map<std::string, std::string>{{"X", /*->*/ "Y"}};
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}
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};
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template <typename DeviceContext, typename T>
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class BatchNormKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext &ctx) const override;
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};
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template <typename DeviceContext, typename T>
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class BatchNormGradKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext &ctx) const override;
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};
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} // namespace operators
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} // namespace paddle
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