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Diffstat (limited to 'tests/validation/reference/LocallyConnected.cpp')
| -rw-r--r-- | tests/validation/reference/LocallyConnected.cpp | 111 |
1 files changed, 0 insertions, 111 deletions
diff --git a/tests/validation/reference/LocallyConnected.cpp b/tests/validation/reference/LocallyConnected.cpp deleted file mode 100644 index ecc582b181..0000000000 --- a/tests/validation/reference/LocallyConnected.cpp +++ /dev/null @@ -1,111 +0,0 @@ -/* - * 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.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 |