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69 lines
1.7 KiB
69 lines
1.7 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_GPU_FUNCTIONS_CUH_
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#define HL_GPU_FUNCTIONS_CUH_
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#include "hl_base.h"
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namespace hppl {
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__device__ static real relu(const real a) {
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return a > 0.0f ? a : 0.0f;
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}
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__device__ static real sigmoid(const real a) {
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const real min = SIGMOID_THRESHOLD_MIN;
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const real max = SIGMOID_THRESHOLD_MAX;
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real tmp = (a < min) ? min : ((a > max) ? max : a);
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#ifndef HPPL_TYPE_DOUBLE
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return __fdividef(1.0f, 1.0f + __expf(-tmp));
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#else
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return 1.0 / (1.0 + exp(-tmp));
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#endif
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}
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__device__ static real tanh(const real a) {
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#ifndef HPPL_TYPE_DOUBLE
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return __fdividef(2.0f, (1.0f + __expf(-2.0f*a))) - 1.0f;
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#else
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return (2.0 / (1.0 + exp(-2.0*a))) - 1.0;
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#endif
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}
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__device__ static real linear(const real a) {
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return a;
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}
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__device__ static real relu(const real a, const real b) {
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return a * (b > 0.0f ? 1.0f : 0.0f);
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}
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__device__ static real sigmoid(const real a, const real b) {
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return a * b * (1 - b);
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}
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__device__ static real tanh(const real a, const real b) {
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return a * (1.0f - b * b);
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}
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__device__ static real linear(const real a, const real b) {
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return a;
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}
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} // namespace hppl
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#endif // HL_GPU_FUNCTIONS_CUH_
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