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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-01-09 18:35:17 +0000 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-01-18 13:41:40 +0000 |
commit | 7cd26d4a1b14bc4bf7c61496803416ab3d84791f (patch) | |
tree | 12cc4a27d7ecebc69a43e96b1f46c7eb05437978 /src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp | |
parent | 3ac2f3a1d9297220d1b0ce920dd13fdd4edcc187 (diff) | |
download | ComputeLibrary-7cd26d4a1b14bc4bf7c61496803416ab3d84791f.tar.gz |
COMPMID-1867: Add NEON/SVE GEMM Hybrid kernels.
Change-Id: Ib40a9921e7f9a6a8be6c38872d6b3a0f24ed0cd3
Reviewed-on: https://review.mlplatform.org/515
Reviewed-by: Anthony Barbier <Anthony.barbier@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp')
-rw-r--r-- | src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp | 152 |
1 files changed, 0 insertions, 152 deletions
diff --git a/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp b/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp deleted file mode 100644 index 3b2975dd80..0000000000 --- a/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp +++ /dev/null @@ -1,152 +0,0 @@ -/* - * 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 "arm_compute/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.h" - -#include "NEGEMMInterleavedStrategies.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/WindowIterator.h" - -namespace arm_compute -{ -template <typename To, typename Tr, bool use_dot> -void NEGEMMInterleavedMatrixMultiplyWrapperTemplate<To, Tr, use_dot>::configure(const ITensor *prepared_a, const ITensor *transformed_b, ITensor *tmp_c, ITensor *c, const Window &block_walker, - const BlockSizes &block_sizes, const INEGEMMWrapperKernel::Params ¶ms, bool b_is_pretransposed, float alpha, float beta, unsigned int max_num_threads) -{ - using strategy = typename Kernel<To, use_dot>::strategy; - - _prepared_a = prepared_a; - _transformed_b = transformed_b; - _tmp_c = tmp_c; - _c = c; - _block_walker = block_walker; - _block_sizes = block_sizes; - _params = params; - _b_is_pretransposed = b_is_pretransposed; - _alpha = alpha; - _beta = beta; - - auto_init_if_empty(*_tmp_c->info(), c->info()->clone()->set_tensor_shape(TensorShape{ _block_sizes.x_block * strategy::out_height(), max_num_threads })); -} - -template <typename To, typename Tr, bool use_dot> -void NEGEMMInterleavedMatrixMultiplyWrapperTemplate<To, Tr, use_dot>::transform(const MatrixMultiplyWorkload &wl, const ThreadInfo &info, const Window &batch_window, const Coordinates &start_offset, - const Coordinates &end_offset) -{ - using strategy = typename Kernel<To, use_dot>::strategy; - - strategy strat(info.cpu_info); - TensorAccessor<To> prepared_a(*_prepared_a); - TensorAccessor<To> transformed_b(*_transformed_b); - TensorAccessor<Tr> c(*_c); - TensorAccessor<Tr> tmp_c(*_tmp_c); - - int prev_batch = -1; - To *a_ptr = nullptr; - auto window_iterator = arm_compute::create_window_iterator(batch_window, start_offset, end_offset, [&](const Coordinates & id) - { - const unsigned int y = id.x(); - const unsigned int batch = id.y(); - const unsigned int ymax = std::min(_params.M, y + strategy::out_height()); - - // If it's the first block of a new batch then reset the pointer to A. - if(prev_batch != static_cast<int>(batch)) - { - const unsigned int first_m = id.x(); - a_ptr = prepared_a(0, first_m, batch); - prev_batch = batch; - } - - // Call matrix multiply assembly routine to process the block: - strat.kernel(a_ptr, transformed_b(wl._offset_transformed_b), tmp_c(0, info.thread_id), 1, wl._bblocks, wl._kern_k); - a_ptr += strategy::out_height() * wl._kern_k; - - // Merge the result with the other blocks' results: - strat.transforms.Merge(c(0, 0, batch, wl._multi), tmp_c(0, info.thread_id), c.stride(1), y, ymax, wl._x0, wl._xmax, _alpha, (wl._k0 == 0 ? _beta : static_cast<Tr>(1))); - }); - auto on_new_row_size = [&](unsigned int start, unsigned int end) - { - //Nothing to do - }; - window_iterator.iterate_2D(on_new_row_size); -} - -template <typename To, typename Tr, bool use_dot> -void NEGEMMInterleavedMatrixMultiplyWrapperTemplate<To, Tr, use_dot>::create_workloads(std::vector<MatrixMultiplyWorkload> &workloads) -{ - using strategy = typename Kernel<To, use_dot>::strategy; - - unsigned int offset_transformed_b = 0; - unsigned int wl_index = 0; - unsigned int num_buffers = 0, reshaped_block_size = 0; - - if(!_b_is_pretransposed) - { - num_buffers = _transformed_b->info()->tensor_shape()[1]; - reshaped_block_size = _transformed_b->info()->tensor_shape()[0]; - } - execute_window_loop(_block_walker, [&](const Coordinates & id) - { - const unsigned int x0 = id.x(); - const unsigned int k0 = id.y(); - const unsigned int multi = id.z(); - - const unsigned int xmax = std::min(x0 + _block_walker.x().step(), _params.N); - const unsigned int kmax = std::min(k0 + _block_walker.y().step(), _params.K); - - // Figure out how many "K" the kernel will actually process. - const int kern_k = ceil_to_multiple(kmax - k0, strategy::k_unroll()); - const int bblocks = DIV_CEIL(xmax - x0, strategy::out_width()); - - workloads.push_back(MatrixMultiplyWorkload(offset_transformed_b, x0, xmax, k0, kmax, multi, kern_k, bblocks)); - - if(_b_is_pretransposed) - { - offset_transformed_b += bblocks * strategy::out_width() * kern_k; - } - else - { - // Rotate through the BufferManager's buffers: - wl_index++; - offset_transformed_b = (wl_index % num_buffers) * reshaped_block_size; - } - }); -} - -//TODO: regroup somewhere ? -template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<float, float>; -#ifdef __aarch64__ -template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<uint8_t, uint32_t>; -template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<int8_t, int32_t>; -template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<uint8_t, uint32_t, true>; -template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<int8_t, int32_t, true>; -#endif /* __aarch64__ */ - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<float16_t, float16_t>; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -} // namespace arm_compute |