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Diffstat (limited to 'src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp')
-rw-r--r-- | src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp b/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp new file mode 100644 index 0000000000..3d42f8a51f --- /dev/null +++ b/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp @@ -0,0 +1,142 @@ +/* + * 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>::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>::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>::strategy; + + unsigned int offset_transformed_b = 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 + { + ARM_COMPUTE_ERROR("Not supported"); + } + }); +} + +//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 |