Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "SoftmaxLayer.h" |
| 25 | |
Georgios Pinitas | 583137c | 2017-08-31 18:12:42 +0100 | [diff] [blame] | 26 | #include "arm_compute/core/Types.h" |
Moritz Pflanzer | a09de0c | 2017-09-01 20:41:12 +0100 | [diff] [blame] | 27 | #include "tests/validation/FixedPoint.h" |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 28 | |
| 29 | namespace arm_compute |
| 30 | { |
| 31 | namespace test |
| 32 | { |
| 33 | namespace validation |
| 34 | { |
| 35 | namespace reference |
| 36 | { |
| 37 | template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> |
| 38 | SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src) |
| 39 | { |
| 40 | // Create reference |
| 41 | SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; |
| 42 | |
| 43 | // Compute reference |
| 44 | const int cols = src.shape()[0]; |
| 45 | const int upper_dims = src.num_elements() / cols; |
| 46 | |
| 47 | for(int r = 0; r < upper_dims; ++r) |
| 48 | { |
| 49 | const T *src_row_ptr = src.data() + r * cols; |
| 50 | T *dst_row_ptr = dst.data() + r * cols; |
| 51 | |
| 52 | // Find max |
| 53 | const T max = *std::max_element(src_row_ptr, src_row_ptr + cols); |
| 54 | |
| 55 | // Regularize |
| 56 | T sum(0.f); |
| 57 | std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&sum, max](T val) |
| 58 | { |
| 59 | const T res(std::exp(val - max)); |
| 60 | sum += res; |
| 61 | return res; |
| 62 | }); |
| 63 | |
| 64 | // Normalize |
| 65 | std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [sum](T val) |
| 66 | { |
| 67 | return val / sum; |
| 68 | }); |
| 69 | } |
| 70 | |
| 71 | return dst; |
| 72 | } |
| 73 | |
| 74 | template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type> |
| 75 | SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src) |
| 76 | { |
| 77 | using namespace fixed_point_arithmetic; |
| 78 | |
| 79 | // Create reference |
| 80 | SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; |
| 81 | |
| 82 | // Compute reference |
| 83 | const int cols = src.shape()[0]; |
| 84 | const int upper_dims = src.num_elements() / cols; |
| 85 | |
| 86 | for(int r = 0; r < upper_dims; ++r) |
| 87 | { |
| 88 | const T *src_row_ptr = src.data() + r * cols; |
| 89 | T *dst_row_ptr = dst.data() + r * cols; |
| 90 | |
| 91 | // Find max |
| 92 | const fixed_point<T> max(*std::max_element(src_row_ptr, src_row_ptr + cols), src.fixed_point_position(), true); |
| 93 | |
| 94 | // Regularize |
| 95 | using promoted_type = fixed_point_arithmetic::traits::promote_t<T>; |
| 96 | fixed_point<promoted_type> sum(0, src.fixed_point_position(), true); |
| 97 | std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&](T val) |
| 98 | { |
| 99 | const fixed_point<T> res = exp(fixed_point<T>(val, src.fixed_point_position(), true) - max); |
| 100 | sum = add(sum, fixed_point<promoted_type>(res.raw(), src.fixed_point_position(), true)); |
| 101 | return res.raw(); |
| 102 | }); |
| 103 | |
| 104 | // Normalize |
| 105 | fixed_point<T> saturated_sum(sum); |
| 106 | std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [&](T val) |
| 107 | { |
| 108 | return div(fixed_point<T>(val, src.fixed_point_position(), true), saturated_sum).raw(); |
| 109 | }); |
| 110 | } |
| 111 | |
| 112 | return dst; |
| 113 | } |
| 114 | |
| 115 | template SimpleTensor<float> softmax_layer(const SimpleTensor<float> &src); |
Georgios Pinitas | 583137c | 2017-08-31 18:12:42 +0100 | [diff] [blame] | 116 | template SimpleTensor<half> softmax_layer(const SimpleTensor<half> &src); |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 117 | template SimpleTensor<qint8_t> softmax_layer(const SimpleTensor<qint8_t> &src); |
| 118 | template SimpleTensor<qint16_t> softmax_layer(const SimpleTensor<qint16_t> &src); |
| 119 | } // namespace reference |
| 120 | } // namespace validation |
| 121 | } // namespace test |
| 122 | } // namespace arm_compute |