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62 lines
2.3 KiB
62 lines
2.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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 "Function.h"
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namespace paddle {
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/**
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* \brief Cosine Similarity Forward.
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* for each row i,
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* out[i] = scale * cos(in1[i], in2[i])
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* = scale * \sum_j (in1[i][j] * in2[i][j]) /
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* sqrt(sum_j (in1[i][j]^2) * sum_j (in2[i][j])^2)
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*
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* \param[out] output output value.
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* \param[in] intput1 input value.
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* \param[in] intput2 input value.
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* \param[in] scale default 1.0.
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*
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*/
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template <DeviceType Device>
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void CosSimForward(typename Tensor<real, Device>::Matrix& output,
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const typename Tensor<real, Device>::Matrix& input1,
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const typename Tensor<real, Device>::Matrix& input2,
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real scale);
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/**
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* \brief Cosine Similarity BackWard for Derivative.
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*
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* \param[in] output grad backward loss output grad.
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* \param[in] output val forward-output value.
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* \param[in] input val1 forward input value 1.
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* \param[in] input val2 forward input value 2.
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* \param[in/out] input grad forward input grad 1.
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* \param[in/out] input grad forward input grad 2.
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* \param[in] scale default 1.0.
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*
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*/
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template <DeviceType Device>
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void CosSimBackward(const typename Tensor<real, Device>::Matrix& out_grad,
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const typename Tensor<real, Device>::Matrix& out_value,
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const typename Tensor<real, Device>::Matrix& in1_value,
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const typename Tensor<real, Device>::Matrix& in2_value,
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typename Tensor<real, Device>::Matrix& in1_grad,
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typename Tensor<real, Device>::Matrix& in2_grad,
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real scale);
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} // namespace paddle
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