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Diffstat (limited to 'tests/validation_new/CPP/DepthConcatenateLayer.cpp')
-rw-r--r-- | tests/validation_new/CPP/DepthConcatenateLayer.cpp | 104 |
1 files changed, 0 insertions, 104 deletions
diff --git a/tests/validation_new/CPP/DepthConcatenateLayer.cpp b/tests/validation_new/CPP/DepthConcatenateLayer.cpp deleted file mode 100644 index c54c6c8568..0000000000 --- a/tests/validation_new/CPP/DepthConcatenateLayer.cpp +++ /dev/null @@ -1,104 +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 "DepthConcatenateLayer.h" - -#include "tests/validation_new/FixedPoint.h" -#include "tests/validation_new/Helpers.h" -#include "tests/validation_new/half.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace reference -{ -template <typename T> -SimpleTensor<T> depthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs) -{ - // Create reference - std::vector<TensorShape> shapes; - - for(const auto &src : srcs) - { - shapes.emplace_back(src.shape()); - } - - DataType dst_type = srcs.empty() ? DataType::UNKNOWN : srcs[0].data_type(); - TensorShape dst_shape = calculate_depth_concatenate_shape(shapes); - SimpleTensor<T> dst(dst_shape, dst_type); - - // Compute reference - int depth_offset = 0; - const int width_out = dst.shape().x(); - const int height_out = dst.shape().y(); - const int depth_out = dst.shape().z(); - const int out_stride_z = width_out * height_out; - const int batches = dst.shape().total_size_upper(3); - - // Set output tensor to 0 - std::fill_n(dst.data(), dst.num_elements(), 0); - - for(const auto &src : srcs) - { - ARM_COMPUTE_ERROR_ON(depth_offset >= depth_out); - ARM_COMPUTE_ERROR_ON(batches != static_cast<int>(src.shape().total_size_upper(3))); - - const int width = src.shape().x(); - const int height = src.shape().y(); - const int depth = src.shape().z(); - const int x_diff = (width_out - width) / 2; - const int y_diff = (height_out - height) / 2; - - const T *src_ptr = src.data(); - - for(int b = 0; b < batches; ++b) - { - const size_t offset_to_first_element = b * out_stride_z * depth_out + depth_offset * out_stride_z + y_diff * width_out + x_diff; - - for(int d = 0; d < depth; ++d) - { - for(int r = 0; r < height; ++r) - { - std::copy(src_ptr, src_ptr + width, dst.data() + offset_to_first_element + d * out_stride_z + r * width_out); - src_ptr += width; - } - } - } - - depth_offset += depth; - } - - return dst; -} - -template SimpleTensor<float> depthconcatenate_layer(const std::vector<SimpleTensor<float>> &srcs); -template SimpleTensor<half_float::half> depthconcatenate_layer(const std::vector<SimpleTensor<half_float::half>> &srcs); -template SimpleTensor<qint8_t> depthconcatenate_layer(const std::vector<SimpleTensor<qint8_t>> &srcs); -template SimpleTensor<qint16_t> depthconcatenate_layer(const std::vector<SimpleTensor<qint16_t>> &srcs); -} // namespace reference -} // namespace validation -} // namespace test -} // namespace arm_compute |