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61 lines
1.8 KiB
61 lines
1.8 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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 "paddle/framework/eigen.h"
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#include "paddle/framework/op_registry.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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template <typename Place, typename T, typename AttrType = T>
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class ReshapeKernel : public framework::OpKernel {
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public:
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void Compute(const framework::ExecutionContext& ctx) const {
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auto* out = ctx.Output<Tensor>("Out");
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auto* in = ctx.Input<Tensor>("X");
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out->mutable_data<T>(in->place());
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auto shape = ctx.Attr<std::vector<int>>("shape");
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std::vector<int64_t> tmp;
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for (auto dim : shape) {
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tmp.push_back(dim);
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}
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auto out_dims = framework::make_ddim(tmp);
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out->CopyFrom<T>(*in, ctx.GetPlace());
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out->Resize(out_dims);
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}
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};
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template <typename Place, typename T, typename AttrType = T>
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class ReshapeGradKernel : public framework::OpKernel {
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public:
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void Compute(const framework::ExecutionContext& ctx) const {
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auto* d_out = ctx.Input<Tensor>(framework::GradVarName("Out"));
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auto* d_x = ctx.Output<Tensor>(framework::GradVarName("X"));
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d_x->mutable_data<T>(ctx.GetPlace());
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auto in_dims = d_x->dims();
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d_x->CopyFrom<T>(*d_out, ctx.GetPlace());
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d_x->Resize(in_dims);
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}
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};
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}
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}
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