| /* |
| * 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/NEGEMMNativeWrapperKernel.h" |
| |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/WindowIterator.h" |
| |
| #include "../arm_gemm/utils.hpp" |
| #include "arm_gemm.hpp" |
| |
| #include "../arm_gemm/mergeresults.hpp" |
| #include "../arm_gemm/transform.hpp" |
| |
| #include "../arm_gemm/kernels/a32_sgemm_8x6.hpp" |
| #include "../arm_gemm/kernels/a64_sgemm_12x8.hpp" |
| #include "../arm_gemm/kernels/a64_sgemm_native_16x4.hpp" |
| #include "../arm_gemm/kernels/a64_sgemv_pretransposed.hpp" |
| #include "../arm_gemm/kernels/a64_sgemv_trans.hpp" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| template <typename To, typename Tr> |
| struct Kernel |
| { |
| }; |
| |
| #ifdef __aarch64__ |
| template <> |
| struct Kernel<float, float> |
| { |
| using strategy = arm_gemm::sgemm_native_16x4; |
| }; |
| #endif /* __aarch64__ */ |
| |
| } // namespace |
| |
| template <typename To, typename Tr> |
| Window NEGEMMNativeWrapperKernel<To, Tr>::configure_internal(float alpha, float beta) |
| { |
| using strategy = typename Kernel<To, Tr>::strategy; |
| |
| _beta = beta; |
| |
| //Note: The window is shifted down by 1 dimension compare to the tensors |
| Window window; |
| window.set(Window::DimX, Window::Dimension(0, ceil_to_multiple(_params.M, strategy::out_height()), strategy::out_height())); |
| window.set(Window::DimY, Window::Dimension(0, _params.batches)); |
| window.set(Window::DimZ, Window::Dimension(0, _params.multis)); |
| |
| return window; |
| } |
| |
| template <typename To, typename Tr> |
| void NEGEMMNativeWrapperKernel<To, Tr>::run_internal(const Window &window, const Coordinates &start_offset, const Coordinates &end_offset, const ThreadInfo &info) |
| { |
| using strategy = typename Kernel<To, Tr>::strategy; |
| |
| TensorAccessor<To> a(*_a); |
| TensorAccessor<To> b(*_b); |
| TensorAccessor<Tr> c(*_c); |
| |
| if(_a->info()->data_layout() == DataLayout::NHWC) |
| { |
| // In the case of NHWC we want to interpret the output shape as 3D. Thus, the batch stride for A is |
| // the relevant multiple of the row stride. |
| const size_t nhwc_batch_stride = _a->info()->strides_in_bytes().y() * _c->info()->dimension(1); |
| a.set_stride(2, nhwc_batch_stride); |
| } |
| |
| unsigned int m_end = 0; |
| |
| strategy strat(info.cpu_info); |
| auto window_iterator = arm_compute::create_window_iterator(window, start_offset, end_offset, [&](const Coordinates & id) |
| { |
| const unsigned int y0 = id.x(); |
| const unsigned int batch = id.y(); |
| const unsigned int multi = id.z(); |
| const unsigned int ymax = std::min(y0 + strategy::out_height(), m_end); |
| |
| // TODO(COMPMID-1424) : Agree on gemm IO layouts |
| strat.kernel(a(0, y0, batch, multi), a.stride(Window::DimY), |
| b(0, 0, multi), b.stride(Window::DimY), |
| c(0, y0, batch, multi), c.stride(Window::DimY), |
| _beta, (ymax - y0), _params.N, _params.K); |
| }); |
| |
| auto on_new_row_size = [&](unsigned int start, unsigned int end) |
| { |
| m_end = std::min(end, _params.M); |
| }; |
| |
| window_iterator.iterate_3D(on_new_row_size); |
| } |
| |
| #ifdef __aarch64__ |
| template class NEGEMMNativeWrapperKernel<float, float>; |
| #endif /* __aarch64__ */ |
| |
| } // namespace arm_compute |