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-rw-r--r--tests/validation/reference/LogSoftmaxLayer.cpp61
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diff --git a/tests/validation/reference/LogSoftmaxLayer.cpp b/tests/validation/reference/LogSoftmaxLayer.cpp
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-/*
- * Copyright (c) 2019-2020 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "LogSoftmaxLayer.h"
-#include "SoftmaxLayer.h"
-
-#include "arm_compute/core/Types.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
-SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, int32_t axis)
-{
- return softmax_layer_generic<T>(src, beta, axis, true);
-}
-
-template < typename T, typename std::enable_if < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int >::type >
-SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, int32_t axis)
-{
- const QuantizationInfo output_quantization_info = arm_compute::get_softmax_output_quantization_info(src.data_type(), true);
-
- SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
- SimpleTensor<float> dst_tmp = log_softmax_layer<float>(src_tmp, beta, axis);
- SimpleTensor<T> dst = convert_to_asymmetric<T>(dst_tmp, output_quantization_info);
- return dst;
-}
-
-template SimpleTensor<float> log_softmax_layer(const SimpleTensor<float> &src, float beta, int32_t axis);
-template SimpleTensor<half> log_softmax_layer(const SimpleTensor<half> &src, float beta, int32_t axis);
-template SimpleTensor<uint8_t> log_softmax_layer(const SimpleTensor<uint8_t> &src, float beta, int32_t axis);
-template SimpleTensor<int8_t> log_softmax_layer(const SimpleTensor<int8_t> &src, float beta, int32_t axis);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute