| /** |
| * 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 "./concat.h" |
| namespace singa { |
| |
| RegisterLayerClass(singa_concat, Concat); |
| RegisterLayerClass(singacpp_concat, Concat); |
| RegisterLayerClass(singacuda_concat, Concat); |
| RegisterLayerClass(singacl_concat, Concat); |
| |
| void Concat::Setup(const vector<Shape>& in_shapes, const LayerConf& conf) { |
| Layer::Setup(in_shapes, conf); |
| out_sample_shape_.clear(); |
| slice_point_.clear(); |
| axis_ = conf.concat_conf().axis(); |
| CHECK_GE(axis_, 0); |
| |
| if (axis_ == 0) { |
| out_sample_shape_ = in_shapes[0]; |
| size_t fea_size = Product(in_shapes[0]); |
| for (auto& s: in_shapes) { |
| CHECK_EQ(Product(s), fea_size) << "Feature length of all source samples " |
| << "must be the same"; |
| } |
| } else { |
| out_sample_shape_ = in_shapes[0]; |
| size_t fea_size = Product(in_shapes[0]) / in_shapes[0][axis_ - 1]; |
| size_t l = 0; |
| for (auto& s: in_shapes) { |
| CHECK_GE(s.size(), axis_); |
| l += s[axis_ - 1]; |
| CHECK_EQ(fea_size, Product(s) / s[axis_ - 1]) |
| << "Feature length for all axis except axis_ must be the same"; |
| } |
| out_sample_shape_[axis_ - 1] = l; |
| } |
| } |
| |
| const vector<Tensor> Concat::Forward(int flag, const vector<Tensor>& inputs) { |
| // TODO(wangwei) check the inputs shape to be the same for all iterations |
| vector<Tensor> outputs; |
| slice_point_.clear(); |
| size_t offset = 0; |
| for (auto& x : inputs) { |
| offset += x.shape(axis_); |
| slice_point_.push_back(offset); |
| } |
| if (inputs.size() == 1u) { |
| outputs = inputs; |
| } else { |
| outputs.push_back(ConcatOn(inputs, axis_)); |
| } |
| return outputs; |
| } |
| |
| const std::pair<vector<Tensor>, vector<Tensor>> Concat::Backward( |
| int flag, const vector<Tensor>& grads) { |
| vector<Tensor> input_grad, param_grad; |
| CHECK_EQ(grads.size(), 1u) << "Concat layer only have one output tensor."; |
| size_t last_offset = 0u; |
| for (auto p : slice_point_) { |
| input_grad.push_back(SliceOn(grads.at(0), last_offset, p, axis_)); |
| last_offset = p; |
| } |
| return std::make_pair(input_grad, param_grad); |
| } |
| |
| } // namespace singa |