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author | Sanghoon Lee <sanghoon.lee@arm.com> | 2018-01-23 15:16:47 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
commit | f47bfb97fa8bc928a7860b84b7b227f716f65e58 (patch) | |
tree | 6623bc798f312e0f1836f5df0fe82d3bde3e2f95 /tests/validation/reference/LocallyConnected.cpp | |
parent | be1f4a7f12e41f4988d4157f35dcb951cf31b72d (diff) | |
download | ComputeLibrary-f47bfb97fa8bc928a7860b84b7b227f716f65e58.tar.gz |
COMPMID-594: Implement reference and CL/NEON validation for LocallyConnected
Change-Id: I01e7abcf3f1b19458128e277044af850ad9fa224
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/118610
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/reference/LocallyConnected.cpp')
-rw-r--r-- | tests/validation/reference/LocallyConnected.cpp | 111 |
1 files changed, 111 insertions, 0 deletions
diff --git a/tests/validation/reference/LocallyConnected.cpp b/tests/validation/reference/LocallyConnected.cpp new file mode 100644 index 0000000000..08e3f02761 --- /dev/null +++ b/tests/validation/reference/LocallyConnected.cpp @@ -0,0 +1,111 @@ +/* + * Copyright (c) 2017-2018 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 "LocallyConnected.h" + +#include "tests/validation/Helpers.h" +#include "tests/validation/reference/Convolution3d.h" +#include "tests/validation/reference/Utils.h" + +#include "tests/framework/Asserts.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T, typename TB> +SimpleTensor<T> locally_connected(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info) +{ + // Create reference + SimpleTensor<T> dst{ output_shape, src.data_type(), 1, src.fixed_point_position(), src.quantization_info() }; + + // Compute reference + const int width_in = src.shape().x(); + const int height_in = src.shape().y(); + const int depth_in = src.shape().z(); + + const int width_out = dst.shape().x(); + const int height_out = dst.shape().y(); + const int depth_out = dst.shape().z(); + + const int width_weights = weights.shape().x(); + const int height_weights = weights.shape().y(); + const int depth_weights = weights.shape().z(); + + const int pad_left = info.pad_left(); + const int pad_top = info.pad_top(); + const int stride_xi = info.stride().first; + const int stride_yi = info.stride().second; + + auto output_wh = scaled_dimensions(width_in, height_in, width_weights, height_weights, info); + + const int start_xi = width_weights / 2 - pad_left; + const int start_yi = height_weights / 2 - pad_top; + const int end_xi = output_wh.first * stride_xi; + const int end_yi = output_wh.second * stride_yi; + const int num_batches = src.shape().total_size() / (width_in * height_in * depth_in); + + for(int r = 0; r < num_batches; ++r) + { + int count = 0; + for(int yi = start_yi; yi < start_yi + end_yi; yi += stride_yi) + { + for(int xi = start_xi; xi < start_xi + end_xi; xi += stride_xi) + { + for(int ofm = 0; ofm < depth_out; ++ofm) + { + // Compute input and output offsets + const int offset_in = r * width_in * height_in * depth_in; + const int xo = (xi - start_xi) / stride_xi; + const int yo = (yi - start_yi) / stride_yi; + const int offset_out = xo + yo * width_out + ofm * width_out * height_out + r * width_out * height_out * depth_out; + + ARM_COMPUTE_ASSERT(xo < width_out); + ARM_COMPUTE_ASSERT(yo < height_out); + + // Compute 3D convolution + convolution_3d::detail::convolution3d(src, weights, bias, dst, + offset_in, count * width_weights * height_weights * depth_weights, count, offset_out, + xi, yi, + width_in, height_in, depth_in, + width_weights, height_weights); + count++; + } + } + } + } + + return dst; +} + +// Locally Connected only supports F32 +template SimpleTensor<float> locally_connected(const SimpleTensor<float> &src, const SimpleTensor<float> &weights, const SimpleTensor<float> &bias, const TensorShape &output_shape, + const PadStrideInfo &info); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute |