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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-12-01 16:27:29 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:58 +0000 |
commit | 5a7e776eee2e9147eab12631f5717847fb6cac5c (patch) | |
tree | feaa0627b521fbe7bb7f792e87295eaca769ddfb /tests/validation/reference/DeconvolutionLayer.cpp | |
parent | 2ecbadada0d2b5e48eb4ffd0ae5e3390c0c96db5 (diff) | |
download | ComputeLibrary-5a7e776eee2e9147eab12631f5717847fb6cac5c.tar.gz |
COMPMID-556: Rename CPP folder to reference
Change-Id: I147644349547c4e3804a80b564a9ad95131ad2d0
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111560
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/reference/DeconvolutionLayer.cpp')
-rw-r--r-- | tests/validation/reference/DeconvolutionLayer.cpp | 107 |
1 files changed, 107 insertions, 0 deletions
diff --git a/tests/validation/reference/DeconvolutionLayer.cpp b/tests/validation/reference/DeconvolutionLayer.cpp new file mode 100644 index 0000000000..82c2188ade --- /dev/null +++ b/tests/validation/reference/DeconvolutionLayer.cpp @@ -0,0 +1,107 @@ +/* + * 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 |