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Diffstat (limited to 'tests/validation/CPP/DeconvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CPP/DeconvolutionLayer.cpp | 107 |
1 files changed, 0 insertions, 107 deletions
diff --git a/tests/validation/CPP/DeconvolutionLayer.cpp b/tests/validation/CPP/DeconvolutionLayer.cpp deleted file mode 100644 index 82c2188ade..0000000000 --- a/tests/validation/CPP/DeconvolutionLayer.cpp +++ /dev/null @@ -1,107 +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 "ConvolutionLayer.h" - -#include "tests/validation/FixedPoint.h" -#include "tests/validation/Helpers.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace reference -{ -template <typename T> -SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<T> &bias, const TensorShape &output_shape, - const PadStrideInfo &info, const std::pair<unsigned int, unsigned int> &a) -{ - // Create reference - TensorShape scaled_shape = src.shape(); - scaled_shape.set(0, output_shape.x()); - scaled_shape.set(1, output_shape.y()); - SimpleTensor<T> scaled{ scaled_shape, src.data_type(), 1, src.fixed_point_position() }; - - const int width_in = src.shape().x(); - const int height_in = src.shape().y(); - const int width_scaled = scaled.shape().x(); - const int height_scaled = scaled.shape().y(); - const int num_2d_slices = src.shape().total_size() / (width_in * height_in); - const float width_ratio = static_cast<float>(width_in) / static_cast<float>(width_scaled); - const float height_ratio = static_cast<float>(height_in) / static_cast<float>(height_scaled); - const int ax = a.first; // The number of zeros added to right edge of the input. - const int ay = a.second; // The number of zeros added to bottom edge of the input. - const unsigned int kernel_size = weights.shape().x(); - ARM_COMPUTE_ERROR_ON(info.pad().first > (kernel_size - 1)); - const int transposed_convolution_padx = kernel_size - info.pad().first - 1; - const int transposed_convolution_pady = kernel_size - info.pad().second - 1; - const int stridex = info.stride().first; - const int stridey = info.stride().second; - for(int j = 0; j < scaled.num_elements(); ++j) - { - scaled[j] = T(0); - } - - for(int slice = 0; slice < num_2d_slices; ++slice) - { - const int offset_slice_in = slice * width_in * height_in; - const int offset_slice_out = slice * width_scaled * height_scaled; - for(int yi = ay; yi < height_scaled; yi += stridey) - { - for(int xi = transposed_convolution_padx; xi < width_scaled; xi += stridex) - { - const float x_src = (xi + 0.5f) * width_ratio - 0.5f; - const float y_src = (yi + 0.5f) * height_ratio - 0.5f; - T *out = scaled.data() + offset_slice_out + xi + yi * width_scaled; - const bool in_bounds = x_src > -1 && y_src > -1 && x_src < width_in && y_src < height_in; - const bool in_axy = xi < transposed_convolution_padx || xi >= (width_scaled - ax) // this is checking if the x coordinate is in the padded left/right area - || yi < ay || yi >= (height_scaled - transposed_convolution_pady); // like above but top and bottom padding in the upscaled XY plane - if(!in_axy) - { - if(in_bounds) - { - const int in_scaled_x = (x_src < 0.f) ? static_cast<int>(x_src - 0.5f) : static_cast<int>(x_src + 0.5f); - const int in_scaled_y = (y_src < 0.f) ? static_cast<int>(y_src - 0.5f) : static_cast<int>(y_src + 0.5f); - const T *in = src.data() + offset_slice_in + in_scaled_x + in_scaled_y * width_in; - *out = *in; - } - else - { - *out = T(0); - } - } - } - } - } - const PadStrideInfo conv_info(1, 1, 1, 1, DimensionRoundingType::CEIL); - return convolution_layer(scaled, weights, bias, output_shape, conv_info); -} - -template SimpleTensor<float> deconvolution_layer(const SimpleTensor<float> &src, const SimpleTensor<float> &weights, const SimpleTensor<float> &bias, const TensorShape &output_shape, - const PadStrideInfo &info, const std::pair<unsigned int, unsigned int> &a); -} // namespace reference -} // namespace validation -} // namespace test -} // namespace arm_compute |