| /** |
| * 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 "./merge.h" |
| namespace singa { |
| |
| RegisterLayerClass(singa_merge, Merge); |
| RegisterLayerClass(singacpp_merge, Merge); |
| RegisterLayerClass(singacuda_merge, Merge); |
| RegisterLayerClass(singacl_merge, Merge); |
| |
| void Merge::Setup(const Shape& in_sample, const LayerConf& conf) { |
| Layer::Setup(in_sample, conf); |
| out_sample_shape_ = in_sample; |
| } |
| |
| const vector<Tensor> Merge::Forward(int flag, const vector<Tensor>& inputs) { |
| vector<Tensor> outputs; |
| input_size_ = inputs.size(); |
| if (inputs.size() == 1u) { |
| outputs = inputs; |
| } else { |
| Tensor sum; |
| sum.ResetLike(inputs.at(0)); |
| sum.SetValue(0.0f); |
| for (size_t i = 0; i < inputs.size(); i++) { |
| Tensor temp = inputs.at(i); |
| CHECK_EQ(sum.nDim(), temp.nDim()); |
| for (size_t j = 0; j < temp.nDim(); j++) |
| CHECK_EQ(sum.shape(j), temp.shape(j)); |
| sum += temp; |
| } |
| outputs.push_back(sum); |
| } |
| return outputs; |
| } |
| |
| const std::pair<vector<Tensor>, vector<Tensor>> Merge::Backward( |
| int flag, const vector<Tensor>& grads) { |
| vector<Tensor> input_grad, param_grad; |
| CHECK_EQ(grads.size(), 1u) << "Merge layer only have one output tensor."; |
| for (size_t i = 0; i < input_size_; i++) |
| input_grad.push_back(grads.at(0)); |
| return std::make_pair(input_grad, param_grad); |
| } |
| |
| } // namespace singa |