Sang-Hoon Park | d24affe | 2019-10-08 18:07:23 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2019 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 "LogSoftmaxLayer.h" |
| 25 | #include "SoftmaxLayer.h" |
| 26 | |
| 27 | #include "arm_compute/core/Types.h" |
| 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> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis) |
| 39 | { |
| 40 | return softmax_layer_generic<T>(src, beta, axis, true); |
| 41 | } |
| 42 | |
Sang-Hoon Park | 0779fec | 2019-11-13 17:08:12 +0000 | [diff] [blame] | 43 | template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type> |
Sang-Hoon Park | d24affe | 2019-10-08 18:07:23 +0100 | [diff] [blame] | 44 | SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis) |
| 45 | { |
Sang-Hoon Park | 0779fec | 2019-11-13 17:08:12 +0000 | [diff] [blame] | 46 | const QuantizationInfo output_quantization_info = arm_compute::get_softmax_output_quantization_info(src.data_type(), true); |
Sang-Hoon Park | d24affe | 2019-10-08 18:07:23 +0100 | [diff] [blame] | 47 | |
| 48 | SimpleTensor<float> src_tmp = convert_from_asymmetric(src); |
| 49 | SimpleTensor<float> dst_tmp = log_softmax_layer<float>(src_tmp, beta, axis); |
Sang-Hoon Park | 0779fec | 2019-11-13 17:08:12 +0000 | [diff] [blame] | 50 | SimpleTensor<T> dst = convert_to_asymmetric<T>(dst_tmp, output_quantization_info); |
Sang-Hoon Park | d24affe | 2019-10-08 18:07:23 +0100 | [diff] [blame] | 51 | return dst; |
| 52 | } |
| 53 | |
| 54 | template SimpleTensor<float> log_softmax_layer(const SimpleTensor<float> &src, float beta, size_t axis); |
| 55 | template SimpleTensor<half> log_softmax_layer(const SimpleTensor<half> &src, float beta, size_t axis); |
| 56 | template SimpleTensor<uint8_t> log_softmax_layer(const SimpleTensor<uint8_t> &src, float beta, size_t axis); |
Sang-Hoon Park | 0779fec | 2019-11-13 17:08:12 +0000 | [diff] [blame] | 57 | template SimpleTensor<int8_t> log_softmax_layer(const SimpleTensor<int8_t> &src, float beta, size_t axis); |
Sang-Hoon Park | d24affe | 2019-10-08 18:07:23 +0100 | [diff] [blame] | 58 | } // namespace reference |
| 59 | } // namespace validation |
| 60 | } // namespace test |
| 61 | } // namespace arm_compute |