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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.
*/
#ifndef SRC_MODEL_LAYER_SPLIT_H_
#define SRC_MODEL_LAYER_SPLIT_H_
#include <string>
#include <utility>
#include <vector>
#include "singa/model/layer.h"
namespace singa {
/// Duplicate the input into multiple outputs
/// need to configure the number of outputs
class Split : public Layer {
public:
/// \copydoc Layer::layer_type()
// const std::string layer_type() const override { return "Split"; }
/// \copydoc Layer::Setup(const LayerConf&);
void Setup(const Shape& in_sample, const LayerConf& conf) override;
const Shape GetOutputSampleShape() const override {
CHECK(out_sample_shape_.size()) << "You may haven't call Setup()";
return out_sample_shape_;
}
/// The inputs should have only one Tensor
/// The outputs is a set of replicated Tensor
const vector<Tensor> Forward(int flag, const vector<Tensor> &inputs) override;
/// \copydoc Layer::Backward(int, const vector<Tensor>&);
const std::pair<vector<Tensor>, vector<Tensor> >
Backward(int flag, const vector<Tensor> &grads) override;
size_t output_size() const { return output_size_; }
protected:
// To store the input and output(of forward) tensors
Shape out_sample_shape_;
size_t output_size_;
};
} // namespace singa
#endif // SRC_MODEL_LAYER_SPLIT_H_