Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 1 | /* |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 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 | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 27 | |
| 28 | namespace arm_compute |
| 29 | { |
| 30 | namespace test |
| 31 | { |
| 32 | namespace validation |
| 33 | { |
| 34 | namespace reference |
| 35 | { |
| 36 | template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> |
giuros01 | efbf6c8 | 2018-09-03 09:53:53 +0100 | [diff] [blame] | 37 | SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis) |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 38 | { |
| 39 | // Create reference |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 40 | SimpleTensor<T> dst{ src.shape(), src.data_type(), 1 }; |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 41 | |
giuros01 | efbf6c8 | 2018-09-03 09:53:53 +0100 | [diff] [blame] | 42 | // Compute reference. Lower dims are the collapsing of the first axis |
| 43 | // dimensions (i.e., the flattened dimension of each batch). The upper dims are |
| 44 | // instead the batches we want to normalize |
Giuseppe Rossini | 87e896a | 2018-08-24 10:24:12 +0100 | [diff] [blame] | 45 | |
giuros01 | efbf6c8 | 2018-09-03 09:53:53 +0100 | [diff] [blame] | 46 | int lower_dims = 1; |
| 47 | for(size_t i = 0; i < axis; i++) |
| 48 | { |
| 49 | lower_dims *= src.shape()[i]; |
| 50 | } |
| 51 | |
| 52 | int upper_dims = 1; |
| 53 | for(size_t i = axis; i < TensorShape::num_max_dimensions; i++) |
| 54 | { |
| 55 | upper_dims *= src.shape()[i]; |
| 56 | } |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 57 | |
| 58 | for(int r = 0; r < upper_dims; ++r) |
| 59 | { |
Giuseppe Rossini | 87e896a | 2018-08-24 10:24:12 +0100 | [diff] [blame] | 60 | const T *src_row_ptr = src.data() + r * lower_dims; |
| 61 | T *dst_row_ptr = dst.data() + r * lower_dims; |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 62 | |
| 63 | // Find max |
Giuseppe Rossini | 87e896a | 2018-08-24 10:24:12 +0100 | [diff] [blame] | 64 | const T max = *std::max_element(src_row_ptr, src_row_ptr + lower_dims); |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 65 | |
| 66 | // Regularize |
| 67 | T sum(0.f); |
Giuseppe Rossini | 87e896a | 2018-08-24 10:24:12 +0100 | [diff] [blame] | 68 | std::transform(src_row_ptr, src_row_ptr + lower_dims, dst_row_ptr, [&sum, max, beta](T val) |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 69 | { |
Pablo Palmier | a2b89ca | 2017-10-05 15:01:34 +0100 | [diff] [blame] | 70 | const T res(std::exp((val - max) * beta)); |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 71 | sum += res; |
| 72 | return res; |
| 73 | }); |
| 74 | |
| 75 | // Normalize |
Giuseppe Rossini | 87e896a | 2018-08-24 10:24:12 +0100 | [diff] [blame] | 76 | std::transform(dst_row_ptr, dst_row_ptr + lower_dims, dst_row_ptr, [sum](T val) |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 77 | { |
| 78 | return val / sum; |
| 79 | }); |
| 80 | } |
| 81 | |
| 82 | return dst; |
| 83 | } |
| 84 | |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 85 | template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value, int>::type> |
giuros01 | efbf6c8 | 2018-09-03 09:53:53 +0100 | [diff] [blame] | 86 | SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis) |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 87 | { |
Chunosov | f450caa | 2017-11-08 16:09:35 +0700 | [diff] [blame] | 88 | // Note: Output quantization info should always have scale = 1/256 and offset = 0 |
| 89 | const QuantizationInfo output_quantization_info = QuantizationInfo(1.f / 256, 0); |
| 90 | |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 91 | SimpleTensor<float> src_tmp = convert_from_asymmetric(src); |
giuros01 | efbf6c8 | 2018-09-03 09:53:53 +0100 | [diff] [blame] | 92 | SimpleTensor<float> dst_tmp = softmax_layer<float>(src_tmp, beta, axis); |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 93 | SimpleTensor<T> dst = convert_to_asymmetric(dst_tmp, output_quantization_info); |
Chunosov | f450caa | 2017-11-08 16:09:35 +0700 | [diff] [blame] | 94 | return dst; |
| 95 | } |
| 96 | |
giuros01 | efbf6c8 | 2018-09-03 09:53:53 +0100 | [diff] [blame] | 97 | template SimpleTensor<float> softmax_layer(const SimpleTensor<float> &src, float beta, size_t axis); |
| 98 | template SimpleTensor<half> softmax_layer(const SimpleTensor<half> &src, float beta, size_t axis); |
| 99 | template SimpleTensor<uint8_t> softmax_layer(const SimpleTensor<uint8_t> &src, float beta, size_t axis); |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 100 | } // namespace reference |
| 101 | } // namespace validation |
| 102 | } // namespace test |
| 103 | } // namespace arm_compute |