avx_functions.cc 2.6 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
D
dangqingqing 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14

Licensed 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. */

15 16
#ifdef __AVX__

D
dangqingqing 已提交
17
#include <immintrin.h>
Y
Yi Wang 已提交
18
#include "paddle/fluid/operators/math/detail/activation_functions.h"
19 20
// TODO(qingqing) refine this dependence
#include "paddle/cuda/src/avx_mathfun.h"
D
dangqingqing 已提交
21

22 23 24 25
namespace paddle {
namespace operators {
namespace math {
namespace detail {
D
dangqingqing 已提交
26

27
__m256 Exp(__m256 a) { return exp256_ps(a); }
D
dangqingqing 已提交
28

29 30
namespace forward {
namespace avx {
31
__m256 Relu(const __m256 a) {
D
dangqingqing 已提交
32 33 34 35
  __m256 tmp = _mm256_set1_ps(0.0f);
  return _mm256_max_ps(a, tmp);
}

36
__m256 Sigmoid(const __m256 a) {
D
dangqingqing 已提交
37 38 39 40 41
  __m256 max = _mm256_set1_ps(SIGMOID_THRESHOLD_MAX);
  __m256 min = _mm256_set1_ps(SIGMOID_THRESHOLD_MIN);
  __m256 tmp = _mm256_max_ps(a, min);
  tmp = _mm256_min_ps(tmp, max);
  tmp = _mm256_sub_ps(_mm256_set1_ps(0.0f), tmp);
42
  tmp = Exp(tmp);
D
dangqingqing 已提交
43 44 45 46 47
  tmp = _mm256_add_ps(_mm256_set1_ps(1.0f), tmp);
  tmp = _mm256_div_ps(_mm256_set1_ps(1.0f), tmp);
  return tmp;
}

48
__m256 Tanh(const __m256 a) {
D
dangqingqing 已提交
49 50 51
  __m256 max = _mm256_set1_ps(EXP_MAX_INPUT);
  __m256 tmp = _mm256_mul_ps(_mm256_set1_ps(-2.0f), a);
  tmp = _mm256_min_ps(tmp, max);
52
  tmp = Exp(tmp);
D
dangqingqing 已提交
53 54 55 56 57
  return _mm256_sub_ps(_mm256_div_ps(_mm256_set1_ps(2.0f),
                                     _mm256_add_ps(_mm256_set1_ps(1.0f), tmp)),
                       _mm256_set1_ps(1.0f));
}

58
__m256 Identity(const __m256 a) { return a; }
D
dangqingqing 已提交
59

60 61 62 63 64
}  // namespace avx
}  // namespace forward

namespace backward {
namespace avx {
65
__m256 Relu(const __m256 a, const __m256 b) {
D
dangqingqing 已提交
66 67 68 69 70
  return _mm256_mul_ps(
      a, _mm256_and_ps(_mm256_cmp_ps(b, _mm256_set1_ps(0.0f), _CMP_GT_OS),
                       _mm256_set1_ps(1.0f)));
}

71
__m256 Sigmoid(const __m256 a, const __m256 b) {
D
dangqingqing 已提交
72 73 74 75
  return _mm256_mul_ps(_mm256_mul_ps(a, b),
                       _mm256_sub_ps(_mm256_set1_ps(1.0f), b));
}

76
__m256 Tanh(const __m256 a, const __m256 b) {
D
dangqingqing 已提交
77 78 79 80
  return _mm256_mul_ps(
      a, _mm256_sub_ps(_mm256_set1_ps(1.0f), _mm256_mul_ps(b, b)));
}

81
__m256 Identity(const __m256 a, const __m256 b) { return a; }
82 83 84 85 86 87 88
}  // namespace avx
}  // namespace backward

}  // namespace detail
}  // namespace math
}  // namespace operators
}  // namespace paddle
89 90

#endif