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58 lines
1.6 KiB
58 lines
1.6 KiB
9 years ago
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/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "Layer.h"
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#include "paddle/math/Matrix.h"
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#include "paddle/utils/ThreadLocal.h"
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namespace paddle {
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/**
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* @brief TensorLayer takes two input vectors.
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* \f[
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* y_{i} = x_{1} * W_{i} * x_{2}^{\rm T}, i=0, 1, ...,K-1
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* \f]
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*
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* - \f$x_{1}\f$: the first input, size is M.
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* - \f$x_{2}\f$: the second input, size is N.
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* - y: output, size is K.
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* - \f$y_{i}\f$: i-th element of y.
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* - \f$W_{i}\f$: the i-th learned weight, dimensions: [M, N].
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* - \f$x_{2}^{\rm T}\f$: the transpose of \f$x_{2}\f$.
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*
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* The config file api is tensor_layer.
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*/
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class TensorLayer : public Layer {
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protected:
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WeightList weights_;
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std::unique_ptr<Weight> biases_;
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public:
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explicit TensorLayer(const LayerConfig& config) : Layer(config) {}
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~TensorLayer() {}
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bool init(const LayerMap& layerMap, const ParameterMap& parameterMap);
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Weight& getWeight(int idx) { return *weights_[idx]; }
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void forward(PassType passType);
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void backward(const UpdateCallback& callback = nullptr);
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};
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} // namespace paddle
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