/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #pragma once #include // NOLINT #include #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/strided_memcpy.h" namespace paddle { namespace operators { template class SplitOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { auto* in = ctx.Input("X"); auto outs = ctx.MultiOutput("Out"); auto in_stride = framework::stride_numel(in->dims()); int64_t axis = static_cast(ctx.Attr("axis")); auto place = ctx.GetPlace(); size_t input_offset = 0; for (auto& out : outs) { out->mutable_data(ctx.GetPlace()); auto out_stride = framework::stride_numel(out->dims()); StridedNumelCopyWithAxis(ctx.device_context(), axis, out->data(), out_stride, in->data() + input_offset, in_stride, out_stride[axis]); input_offset += out_stride[axis]; } } }; class SplitGradMaker : public framework::SingleGradOpDescMaker { public: using framework::SingleGradOpDescMaker::SingleGradOpDescMaker; protected: std::unique_ptr Apply() const override { auto op = new framework::OpDesc(); op->SetType("concat"); op->SetInput("X", OutputGrad("Out")); op->SetOutput("Out", InputGrad("X")); op->SetAttrMap(Attrs()); return std::unique_ptr(op); } }; } // namespace operators } // namespace paddle