| /* |
| * Copyright (c) 2018-2019 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 DataLayout original_input_data_layout = (training_data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW; |
| |
| const int width_idx = get_data_layout_dimension_index(original_input_data_layout, DataLayoutDimension::WIDTH); |
| const int height_idx = get_data_layout_dimension_index(original_input_data_layout, DataLayoutDimension::HEIGHT); |
| const int channel_idx = get_data_layout_dimension_index(original_input_data_layout, DataLayoutDimension::CHANNEL); |
| |
| const bool is_nchw_to_nhwc = training_data_layout == DataLayout::NCHW; |
| const unsigned int num_elems_per_input_plane = original_input_shape[width_idx] * original_input_shape[height_idx]; |
| const unsigned int num_channels = original_input_shape[channel_idx]; |
| 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; |
| |
| const uint32_t num_elements = src.num_elements(); |
| for(uint32_t i = 0; i < 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 |