| /* |
| * 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 "GEMMReshapeLHSMatrix.h" |
| |
| #include "arm_compute/core/Types.h" |
| |
| #include "tests/validation/Helpers.h" |
| |
| #include <algorithm> |
| #include <cmath> |
| #include <cstring> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T> |
| SimpleTensor<T> gemm_reshape_lhs_matrix(const SimpleTensor<T> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info) |
| { |
| ARM_COMPUTE_ERROR_ON(in.shape().num_dimensions() > 3); |
| |
| SimpleTensor<T> out{ output_shape, in.data_type() }; |
| |
| // Initialize the output tensor with zero |
| std::memset(&out[0], 0, out.num_elements() * sizeof(T)); |
| |
| const unsigned int K = in.shape()[0]; |
| const unsigned int M = in.shape()[1]; |
| const unsigned int B = in.shape()[2]; |
| |
| const unsigned int num_tiles_x = std::ceil(K / static_cast<float>(lhs_info.k0)); |
| const unsigned int num_tiles_y = std::ceil(M / static_cast<float>(lhs_info.m0)); |
| |
| const TensorShape tile_dims(lhs_info.k0, lhs_info.m0); |
| const TensorShape tile_dims_transposed(lhs_info.m0, lhs_info.k0); |
| |
| // Simple tensor for the input tile |
| SimpleTensor<T> src_tile{ tile_dims, in.data_type() }; |
| |
| // Simple tensor for the input tile |
| SimpleTensor<T> src_tile_transposed{ tile_dims_transposed, in.data_type() }; |
| |
| // Simple tensor to use when storing the values |
| SimpleTensor<T> *tile_to_use = lhs_info.transpose ? &src_tile_transposed : &src_tile; |
| |
| const unsigned int offset_output_x = lhs_info.interleave ? tile_to_use->shape()[0] : tile_to_use->shape()[0] * tile_to_use->shape()[1]; |
| const unsigned int step_output_x = lhs_info.interleave ? tile_to_use->shape()[0] * lhs_info.v0 : tile_to_use->shape()[0]; |
| |
| for(unsigned int z = 0; z < B; ++z) |
| { |
| for(unsigned int y = 0; y < num_tiles_y; ++y) |
| { |
| for(unsigned int x = 0; x < num_tiles_x; ++x) |
| { |
| // Get the tile from the input tensor |
| get_tile<T>(in, src_tile, Coordinates(x * lhs_info.k0, y * lhs_info.m0, z, 0)); |
| |
| if(lhs_info.transpose) |
| { |
| // Transpose matrix |
| transpose_matrix<T>(src_tile, src_tile_transposed); |
| } |
| |
| // Store |
| const unsigned int offset_output = (x * lhs_info.k0 * lhs_info.m0 * lhs_info.v0) + ((y % lhs_info.v0) * offset_output_x) + ((y / lhs_info.v0) * out.shape()[0]) + (z * out.shape()[0] * out.shape()[1]); |
| |
| for(unsigned int i = 0; i < tile_to_use->shape()[1]; ++i) |
| { |
| const unsigned int offset_tile = i * tile_to_use->shape()[0]; |
| |
| // Copy per row |
| std::copy(&(*tile_to_use)[offset_tile], &(*tile_to_use)[offset_tile + tile_to_use->shape()[0]], &out[offset_output + i * step_output_x]); |
| } |
| } |
| } |
| } |
| |
| return out; |
| } |
| template SimpleTensor<int> gemm_reshape_lhs_matrix(const SimpleTensor<int> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info); |
| template SimpleTensor<short> gemm_reshape_lhs_matrix(const SimpleTensor<short> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info); |
| template SimpleTensor<char> gemm_reshape_lhs_matrix(const SimpleTensor<char> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |