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69 lines
2.2 KiB
69 lines
2.2 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 <chrono> // NOLINT
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/concat_and_split.h"
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#include "paddle/fluid/operators/strided_memcpy.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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class SplitOpKernel : 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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auto* in = ctx.Input<framework::Tensor>("X");
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auto outs = ctx.MultiOutput<framework::Tensor>("Out");
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int axis = ctx.Attr<int>("axis");
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auto place = ctx.GetPlace();
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std::vector<const framework::Tensor*> shape_refer;
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for (size_t j = 0; j < outs.size(); ++j) {
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outs[j]->mutable_data<T>(ctx.GetPlace());
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shape_refer.emplace_back(outs[j]);
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}
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auto& dev_ctx = ctx.template device_context<DeviceContext>();
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// Sometimes direct copies will be faster, this maybe need deeply analysis.
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if (axis == 0 && outs.size() < 10) {
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StridedMemcpyWithAxis0<T>(dev_ctx, *in, shape_refer, &outs);
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} else {
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math::SplitFunctor<DeviceContext, T> functor;
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functor(dev_ctx, *in, shape_refer, axis, &outs);
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}
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}
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};
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class SplitGradMaker : 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 op = new framework::OpDesc();
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op->SetType("concat");
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op->SetInput("X", OutputGrad("Out"));
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op->SetOutput("Out", InputGrad("X"));
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op->SetAttrMap(Attrs());
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return std::unique_ptr<framework::OpDesc>(op);
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}
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};
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} // namespace operators
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} // namespace paddle
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