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65 lines
1.8 KiB
65 lines
1.8 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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#ifndef HL_ACTIVATION_FUNCTIONS_H_
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#define HL_ACTIVATION_FUNCTIONS_H_
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#include "hl_functions.h"
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/**
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* Active functions: sigmoid, relu, tanh and linear.
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*/
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#define HPPL_ACTIVE_FUNCTION {hppl::sigmoid, \
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hppl::relu, \
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hppl::tanh, \
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hppl::linear \
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}
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namespace hppl {
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/**
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* Hppl supports sigmoid, relu, tanh, linear active functions
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* for neural networks' forward and backward activation.
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*/
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template <class T>
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class Active {
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public:
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typedef T (*forward)(T);
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typedef T (*backward)(T, T);
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};
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#ifdef __NVCC__
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namespace gpu {
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static __device__ Active<real>::forward forward[] = HPPL_ACTIVE_FUNCTION;
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static __device__ Active<real>::backward backward[] = HPPL_ACTIVE_FUNCTION;
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}
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#else
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namespace cpu {
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static Active<real>::forward forward[] = HPPL_ACTIVE_FUNCTION;
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static Active<real>::backward backward[] = HPPL_ACTIVE_FUNCTION;
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}
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#ifdef __AVX__
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namespace avx {
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static Active<__m256>::forward forward[] = HPPL_ACTIVE_FUNCTION;
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static Active<__m256>::backward backward[] = HPPL_ACTIVE_FUNCTION;
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}
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#endif
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#endif
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} // namespace hppl
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#endif // HL_ACTIVATION_FUNCTIONS_H_
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