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merge.cc
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merge.cc
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/**
* 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