| /** |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you 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. |
| */ |
| |
| #include "singa/model/layer.h" |
| #include "./split.h" |
| namespace singa { |
| |
| RegisterLayerClass(singa_split, Split); |
| RegisterLayerClass(singacpp_split, Split); |
| RegisterLayerClass(singacuda_split, Split); |
| RegisterLayerClass(singacl_split, Split); |
| |
| void Split::Setup(const Shape& in_sample, const LayerConf& conf) { |
| Layer::Setup(in_sample, conf); |
| SplitConf split_conf = conf.split_conf(); |
| output_size_ = split_conf.output_size(); |
| out_sample_shape_ = in_sample; |
| } |
| |
| const vector<Tensor> Split::Forward(int flag, const vector<Tensor>& inputs) { |
| vector<Tensor> outputs; |
| CHECK_EQ(inputs.size(), 1u) << "Split layer only have one input tensor."; |
| for (size_t i = 0; i < output_size_; i++) |
| outputs.push_back(inputs.at(0)); |
| return outputs; |
| } |
| |
| const std::pair<vector<Tensor>, vector<Tensor>> Split::Backward( |
| int flag, const vector<Tensor>& grads) { |
| vector<Tensor> input_grad, param_grad; |
| CHECK_EQ(grads.size(), output_size_); |
| |
| /// Input_grad is the sum of all the output gradients. |
| Tensor temp = grads.at(0); |
| for (size_t i = 1; i < output_size_; i++) |
| temp += grads.at(i); |
| input_grad.push_back(temp); |
| return std::make_pair(input_grad, param_grad); |
| } |
| |
| } // namespace singa |