diff options
Diffstat (limited to 'src/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.cpp | 189 |
1 files changed, 0 insertions, 189 deletions
diff --git a/src/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.cpp b/src/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.cpp deleted file mode 100644 index 7fc57f3c02..0000000000 --- a/src/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.cpp +++ /dev/null @@ -1,189 +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/NEGEMMInterleavedPrepareBWrapperKernel.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" - -namespace arm_compute -{ -namespace -{ -// Call the lambda function for each workload generated by the passed window. -template <typename To, bool use_dot, bool use_buffer_manager, typename Lambda> -void for_each_element_in_window(const Window &window, const ITensor *b, ITensor *transformed_b, unsigned int N, unsigned int K, Lambda &&lambda) -{ - using strategy = typename Kernel<To, use_dot>::strategy; - unsigned int wl_index = 0; - unsigned int num_buffers = 0, reshaped_block_size = 0; - - if(use_buffer_manager) - { - num_buffers = transformed_b->info()->tensor_shape()[1]; - reshaped_block_size = transformed_b->info()->strides_in_bytes().y(); - } - - unsigned int offset_transformed_b = transformed_b->info()->offset_first_element_in_bytes(); - execute_window_loop(window, [&](const Coordinates & coordinates) - { - const unsigned int x0 = coordinates.x(); - const unsigned int k0 = coordinates.y(); - const unsigned int multi = coordinates.z(); - - const unsigned int offset_b = b->info()->offset_element_in_bytes(Coordinates(0, 0, multi)); - const unsigned int xmax = std::min(x0 + window.x().step(), N); - const unsigned int kmax = std::min(k0 + window.y().step(), K); - - /* Figure out the size of each block. */ - unsigned int x_size = (xmax - x0); - unsigned int k_size = (kmax - k0); - - /* Round sizes up as needed. */ - x_size = ceil_to_multiple(x_size, strategy::out_width()); - k_size = ceil_to_multiple(k_size, strategy::k_unroll()); - - lambda(PrepareBWorkload(offset_b, offset_transformed_b, x0, xmax, k0, kmax)); - - //Each workload represents one block: - if(use_buffer_manager) - { - // Rotate through the BufferManager's buffers: - wl_index++; - offset_transformed_b = (wl_index % num_buffers) * reshaped_block_size; - } - else - { - offset_transformed_b += (x_size * k_size * sizeof(To)); - } - }); -} - -// Calculate the size of transformed_b: -template <typename To, bool use_dot> -unsigned int get_B_pretransposed_array_size(unsigned int N, unsigned int K, const BlockSizes &bs, unsigned int multis) -{ - using strategy = typename Kernel<To, use_dot>::strategy; - - // How many full blocks do N / K contain ? - size_t num_full_k = K / bs.k_block; - size_t num_full_x = N / bs.x_block; - - ARM_COMPUTE_ERROR_ON(bs.x_block % strategy::out_width() != 0); - ARM_COMPUTE_ERROR_ON(bs.k_block % strategy::k_unroll() != 0); - - size_t normal_x_size = bs.x_block; - size_t normal_k_size = bs.k_block; - - // Round up the leftovers to be a multiple of the strategy processing size: - size_t left_over_x_size = ceil_to_multiple(N % bs.x_block, strategy::out_width()); - size_t left_over_k_size = ceil_to_multiple(K % bs.k_block, strategy::k_unroll()); - - // Calculate the total size of the buffer: - size_t total = num_full_k * normal_k_size * (num_full_x * normal_x_size + left_over_x_size); - total += left_over_k_size * (left_over_x_size + num_full_x * normal_x_size); - - total *= multis; - - return total; -} - -} // namespace - -template <typename To, bool use_dot> -BlockSizes NEGEMMInterleavedPrepareBWrapperKernelTemplate<To, use_dot>::block_sizes() const -{ - return _block_sizes; -} - -template <typename To, bool use_dot> -void NEGEMMInterleavedPrepareBWrapperKernelTemplate<To, use_dot>::configure(const ITensor *b, ITensor *transformed_b, bool transpose_b, const CPUInfo &ci, const INEGEMMWrapperKernel::Params ¶ms) -{ - using strategy = typename Kernel<To, use_dot>::strategy; - - const unsigned int multis = b->info()->tensor_shape().z(); - _Nsize = b->info()->tensor_shape().x(); - _Ksize = b->info()->tensor_shape().y(); - _b = b; - _transformed_b = transformed_b; - _transpose_b = transpose_b; - - _block_sizes = calculate_block_sizes<strategy>(ci, params.M, params.N, params.K); - - auto_init_if_empty(*transformed_b->info(), b->info()->clone()->set_tensor_shape(TensorShape{ get_B_pretransposed_array_size<To, use_dot>(_Nsize, _Ksize, _block_sizes, multis) })); - - Window window; - window.set(Window::DimX, Window::Dimension(0, ceil_to_multiple(_Nsize, _block_sizes.x_block), _block_sizes.x_block)); - window.set(Window::DimY, Window::Dimension(0, ceil_to_multiple(_Ksize, _block_sizes.k_block), _block_sizes.k_block)); - window.set(Window::DimZ, Window::Dimension(0, multis)); - - INEKernel::configure(window); -} - -template <typename To, bool use_dot> -void NEGEMMInterleavedPrepareBWrapperKernelTemplate<To, use_dot>::transform(const PrepareBWorkload &wl, const ThreadInfo &info) -{ - using strategy = typename Kernel<To, use_dot>::strategy; - - strategy strat(info.cpu_info); - strat.transforms.PrepareB(reinterpret_cast<To *>(_transformed_b->buffer() + wl._offset_transformed_b), - reinterpret_cast<To *>(_b->buffer() + wl._offset_b), - _b->info()->strides_in_bytes().y() / sizeof(To), - wl._x0, wl._xmax, wl._k0, wl._kmax, _transpose_b); -} - -template <typename To, bool use_dot> -void NEGEMMInterleavedPrepareBWrapperKernelTemplate<To, use_dot>::create_workloads(std::vector<PrepareBWorkload> &workloads) -{ - for_each_element_in_window<To, use_dot, true>(window(), _b, _transformed_b, _Nsize, _Ksize, [&workloads](PrepareBWorkload && wl) - { - workloads.push_back(std::move(wl)); - }); -} - -template <typename To, bool use_dot> -void NEGEMMInterleavedPrepareBWrapperKernelTemplate<To, use_dot>::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(window, INEKernel::window()); - for_each_element_in_window<To, use_dot, false>(window, _b, _transformed_b, _Nsize, _Ksize, [&](PrepareBWorkload && wl) - { - this->transform(wl, info); - }); -} - -template class NEGEMMInterleavedPrepareBWrapperKernelTemplate<float>; -#ifdef __aarch64__ -template class NEGEMMInterleavedPrepareBWrapperKernelTemplate<uint8_t>; -template class NEGEMMInterleavedPrepareBWrapperKernelTemplate<int8_t>; -template class NEGEMMInterleavedPrepareBWrapperKernelTemplate<uint8_t, true>; -template class NEGEMMInterleavedPrepareBWrapperKernelTemplate<int8_t, true>; -#endif /* __aarch64__ */ - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -template class NEGEMMInterleavedPrepareBWrapperKernelTemplate<float16_t>; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -} // namespace arm_compute |