blob: e4403956ab9013209d202214c1280dce8d104b26 [file] [log] [blame]
Sang-Hoon Parkd24affe2019-10-08 18:07:23 +01001/*
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
29namespace arm_compute
30{
31namespace test
32{
33namespace validation
34{
35namespace reference
36{
37template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
38SimpleTensor<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 Park0779fec2019-11-13 17:08:12 +000043template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type>
Sang-Hoon Parkd24affe2019-10-08 18:07:23 +010044SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis)
45{
Sang-Hoon Park0779fec2019-11-13 17:08:12 +000046 const QuantizationInfo output_quantization_info = arm_compute::get_softmax_output_quantization_info(src.data_type(), true);
Sang-Hoon Parkd24affe2019-10-08 18:07:23 +010047
48 SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
49 SimpleTensor<float> dst_tmp = log_softmax_layer<float>(src_tmp, beta, axis);
Sang-Hoon Park0779fec2019-11-13 17:08:12 +000050 SimpleTensor<T> dst = convert_to_asymmetric<T>(dst_tmp, output_quantization_info);
Sang-Hoon Parkd24affe2019-10-08 18:07:23 +010051 return dst;
52}
53
54template SimpleTensor<float> log_softmax_layer(const SimpleTensor<float> &src, float beta, size_t axis);
55template SimpleTensor<half> log_softmax_layer(const SimpleTensor<half> &src, float beta, size_t axis);
56template SimpleTensor<uint8_t> log_softmax_layer(const SimpleTensor<uint8_t> &src, float beta, size_t axis);
Sang-Hoon Park0779fec2019-11-13 17:08:12 +000057template SimpleTensor<int8_t> log_softmax_layer(const SimpleTensor<int8_t> &src, float beta, size_t axis);
Sang-Hoon Parkd24affe2019-10-08 18:07:23 +010058} // namespace reference
59} // namespace validation
60} // namespace test
61} // namespace arm_compute