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Diffstat (limited to 'tests/validation/CPP/DequantizationLayer.cpp')
-rw-r--r-- | tests/validation/CPP/DequantizationLayer.cpp | 67 |
1 files changed, 0 insertions, 67 deletions
diff --git a/tests/validation/CPP/DequantizationLayer.cpp b/tests/validation/CPP/DequantizationLayer.cpp deleted file mode 100644 index 33096a1d81..0000000000 --- a/tests/validation/CPP/DequantizationLayer.cpp +++ /dev/null @@ -1,67 +0,0 @@ -/* - * Copyright (c) 2017 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 "DequantizationLayer.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace reference -{ -template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type> -SimpleTensor<float> dequantization_layer(const SimpleTensor<T> &src, const SimpleTensor<float> &min_max) -{ - // Create reference - SimpleTensor<float> dst{ src.shape(), DataType::F32 }; - - // Compute reference - const int width = src.shape().x(); - const int height = src.shape().y(); - const int depth = src.shape().z(); - const int stride_w = width * height * depth; - const int num_batches = min_max.shape().total_size_upper(1); - - for(int k = 0; k < num_batches; ++k) - { - const float min = min_max[k * 2 + 0]; - const float max = min_max[k * 2 + 1]; - const float range = max - min; - const float scaling = range / 255.0f; - - for(int i = 0; i < stride_w; ++i) - { - dst[i + k * stride_w] = (static_cast<float>(src[i + k * stride_w]) * scaling) + min; - } - } - - return dst; -} - -template SimpleTensor<float> dequantization_layer(const SimpleTensor<uint8_t> &src, const SimpleTensor<float> &min_max); -} // namespace reference -} // namespace validation -} // namespace test -} // namespace arm_compute |