| /* |
| * Copyright (c) 2017 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/arm64/NEGEMMAArch64Kernel.h" |
| |
| #include "arm_compute/core/AccessWindowStatic.h" |
| #include "arm_compute/core/AccessWindowTranspose.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/IAccessWindow.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/NEFixedPoint.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "support/ToolchainSupport.h" |
| |
| namespace arm_compute |
| { |
| #include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp" |
| #include "arm_compute/core/NEON/kernels/assembly/kernels/a64_sgemm_12x8.hpp" |
| } // namespace arm_compute |
| |
| #include <arm_neon.h> |
| #include <cstddef> |
| #include <cstdint> |
| #include <tuple> |
| |
| namespace arm_compute |
| { |
| void NEGEMMAArch64Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, bool is_transposed_1) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F32); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output); |
| |
| _input0 = input0; |
| _input1 = input1; |
| _output = output; |
| _workspace = workspace; |
| _alpha = alpha; |
| _beta = beta; |
| _is_transposed_0 = is_transposed_0; |
| _is_transposed_1 = is_transposed_1; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info()); |
| |
| AccessWindowRectangle output_access(output->info(), 0, 0, 12, 8); |
| |
| const int input0_access_end = ceil_to_multiple(input0->info()->tensor_shape().x(), 8); |
| const int input1_access_end = ceil_to_multiple(input1->info()->tensor_shape().x(), 12); |
| |
| update_window_and_padding(win, |
| AccessWindowStatic(input0->info(), 0, 0, input0_access_end, input0->info()->tensor_shape().y()), |
| AccessWindowStatic(input1->info(), 0, 0, input1_access_end, input1->info()->tensor_shape().y()), |
| output_access); |
| |
| INEKernel::configure(win); |
| } |
| |
| void NEGEMMAArch64Kernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| const int lda = _input0->info()->strides_in_bytes().y() / sizeof(float); |
| const int ldb = _input1->info()->strides_in_bytes().y() / sizeof(float); |
| const int ldc = _output->info()->strides_in_bytes().y() / sizeof(float); |
| |
| const auto in1_ptr = reinterpret_cast<const float *>(_input1->buffer()); |
| |
| const int M = std::min(_output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); |
| const int N = _output->info()->tensor_shape().x(); |
| const int K = _input0->info()->tensor_shape().x(); |
| |
| // Only iterate over batches |
| Window win(window); |
| win.set(0, Window::Dimension(0, 1, 1)); |
| win.set(1, Window::Dimension(0, 1, 1)); |
| |
| Iterator in0(_input0, window); |
| Iterator out(_output, window); |
| |
| GemmInterleaved<sgemm_12x8, float, float> gemm(&info.cpu_info, M, N, K, _is_transposed_0, _is_transposed_1); |
| constexpr size_t alignment = 4096; |
| const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; |
| void *workspace = _workspace->buffer() + offset; |
| size_t workspace_size = _workspace->info()->total_size(); |
| |
| if(support::cpp11::align(alignment, gemm.get_working_size(), workspace, workspace_size) == nullptr) |
| { |
| ARM_COMPUTE_ERROR("Not enough space to align buffer!"); |
| } |
| |
| execute_window_loop(win, [&](const Coordinates & id) |
| { |
| gemm.execute(reinterpret_cast<const float *>(in0.ptr()), lda, |
| reinterpret_cast<const float *>(in1_ptr), ldb, |
| reinterpret_cast<float *>(out.ptr()), ldc, |
| _alpha, _beta, workspace); |
| }, |
| in0, out); |
| } |
| } // namespace arm_compute |