| /* |
| * 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 "StackLayer.h" |
| |
| #include "arm_compute/core/Types.h" |
| |
| #include "tests/validation/Helpers.h" |
| |
| #include <vector> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T> |
| SimpleTensor<T> stack_layer(const std::vector<SimpleTensor<T>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis) |
| { |
| ARM_COMPUTE_ERROR_ON(output_shape.num_dimensions() > 5); |
| ARM_COMPUTE_ERROR_ON(in.size() < 2); |
| ARM_COMPUTE_ERROR_ON(axis > in[0].shape().num_dimensions()); |
| |
| SimpleTensor<T> out{ output_shape, data_type }; |
| |
| const int width = in[0].shape()[0]; |
| const int height = in[0].shape()[1]; |
| const int depth = in[0].shape()[2]; |
| const int batch_size = in[0].shape()[3]; |
| const int num_tensors = in.size(); |
| |
| // Array to store the input coordinates |
| // i_coordinates[0] = xi, i_coordinates[1] = yi, i_coordinates[2] = zi |
| // i_coordinates[3] = bi, i_coordinates[4] = i, i_coordinates[5] = 0 |
| // i_coordinates[5] will be always zero and used for not incrementing the output when the input has less than 4 dimensions |
| std::array<int, 6> i_coordinates{ 0 }; |
| |
| // Array of pointers used to map the output coordinates to the input ones accordingly with the axis |
| // This array is initialized with &i_coordinates[5] since this will be always zero |
| std::array<int *, 5> o_coordinates = { &i_coordinates[5], &i_coordinates[5], &i_coordinates[5], &i_coordinates[5], &i_coordinates[5] }; |
| |
| // Set the axis coordinate |
| o_coordinates[axis] = &i_coordinates[4]; |
| |
| unsigned int k_shift = 0; |
| |
| // Map the output coordinates |
| for(unsigned int k = 0; k < in[0].shape().num_dimensions(); ++k) |
| { |
| if(k == axis) |
| { |
| k_shift++; |
| } |
| |
| o_coordinates[k + k_shift] = &i_coordinates[k]; |
| } |
| |
| // Use alias for the input coordinates |
| int &xi = i_coordinates[0]; |
| int &yi = i_coordinates[1]; |
| int &zi = i_coordinates[2]; |
| int &bi = i_coordinates[3]; |
| int &i = i_coordinates[4]; |
| |
| // Use alias for the output coordinates |
| int &xo = *(o_coordinates[0]); |
| int &yo = *(o_coordinates[1]); |
| int &zo = *(o_coordinates[2]); |
| int &bo = *(o_coordinates[3]); |
| int &wo = *(o_coordinates[4]); |
| |
| // Stack tensors |
| for(; i < num_tensors; ++(i)) |
| { |
| bi = 0; |
| for(; bi < batch_size; ++(bi)) |
| { |
| zi = 0; |
| for(; zi < depth; ++(zi)) |
| { |
| yi = 0; |
| for(; yi < height; ++(yi)) |
| { |
| xi = 0; |
| for(; xi < width; ++(xi)) |
| { |
| *(reinterpret_cast<T *>(out(Coordinates(xo, yo, zo, bo, wo)))) = *(reinterpret_cast<const T *>(in[i](Coordinates(xi, yi, zi, bi)))); |
| } |
| } |
| } |
| } |
| } |
| |
| return out; |
| } |
| template SimpleTensor<int> stack_layer(const std::vector<SimpleTensor<int>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis); |
| template SimpleTensor<short> stack_layer(const std::vector<SimpleTensor<short>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis); |
| template SimpleTensor<char> stack_layer(const std::vector<SimpleTensor<char>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |