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author | Giorgio Arena <giorgio.arena@arm.com> | 2018-04-26 18:52:01 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:51:50 +0000 |
commit | 657bdb358c95ccd6bb07594a01625a7d7bacd32f (patch) | |
tree | 65ac93ea1c2c65b9815734433f2a930929aa169a /tests/validation/reference/ConvertFullyConnectedWeights.cpp | |
parent | 3d1489de593574e65ef1e64a7ae64e4e56c2978b (diff) | |
download | ComputeLibrary-657bdb358c95ccd6bb07594a01625a7d7bacd32f.tar.gz |
COMPMID-1050 CL/NEON: Create a function to convert the 2D weights of FC layer from NHWC to NCHW and viceversa
Change-Id: If77ffeb92b6eb883e5d2d2c97c2c4d1d23d17c8d
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129257
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/reference/ConvertFullyConnectedWeights.cpp')
-rw-r--r-- | tests/validation/reference/ConvertFullyConnectedWeights.cpp | 65 |
1 files changed, 65 insertions, 0 deletions
diff --git a/tests/validation/reference/ConvertFullyConnectedWeights.cpp b/tests/validation/reference/ConvertFullyConnectedWeights.cpp new file mode 100644 index 0000000000..b0f537fa0c --- /dev/null +++ b/tests/validation/reference/ConvertFullyConnectedWeights.cpp @@ -0,0 +1,65 @@ +/* + * Copyright (c) 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 "ConvertFullyConnectedWeights.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> convert_fully_connected_weights(const SimpleTensor<T> &src, const TensorShape &original_input_shape, const DataLayout training_data_layout) +{ + SimpleTensor<T> dst(src.shape(), src.data_type()); + + const bool is_nchw_to_nhwc = training_data_layout == DataLayout::NCHW; + const unsigned int num_elems_per_input_plane = original_input_shape.x() * original_input_shape.y(); + const unsigned int num_channels = original_input_shape.z(); + const unsigned int factor_1 = is_nchw_to_nhwc ? num_elems_per_input_plane : num_channels; + const unsigned int factor_2 = is_nchw_to_nhwc ? num_channels : num_elems_per_input_plane; + + for(int i = 0; i < src.num_elements(); ++i) + { + const Coordinates coords_in = index2coords(src.shape(), i); + const Coordinates coords_out(coords_in.x(), coords_in.y() % factor_1 * factor_2 + coords_in.y() / factor_1); + + dst[coords2index(dst.shape(), coords_out)] = src[i]; + } + + return dst; +} + +template SimpleTensor<uint8_t> convert_fully_connected_weights(const SimpleTensor<uint8_t> &src, const TensorShape &original_input_shape, + const DataLayout training_data_layout); +template SimpleTensor<half> convert_fully_connected_weights(const SimpleTensor<half> &src, const TensorShape &original_input_shape, + const DataLayout training_data_layout); +template SimpleTensor<float> convert_fully_connected_weights(const SimpleTensor<float> &src, const TensorShape &original_input_shape, + const DataLayout training_data_layout); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute |