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Diffstat (limited to 'src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp | 121 |
1 files changed, 0 insertions, 121 deletions
diff --git a/src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp b/src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp deleted file mode 100644 index 0b3212bf55..0000000000 --- a/src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp +++ /dev/null @@ -1,121 +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/arm64/NEGEMMAArch64NativeKernel.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/convolution/winograd/gemm.hpp" -} // namespace arm_compute - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> -#include <tuple> - -namespace arm_compute -{ -void NEGEMMAArch64NativeKernel::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(), Steps(16U, 4U)); - - const int input0_access_end_x = ceil_to_multiple(input0->info()->tensor_shape().x(), 4); - const int input0_access_end_y = ceil_to_multiple(input0->info()->tensor_shape().y(), 4); - const int input1_access_end_x = ceil_to_multiple(input1->info()->tensor_shape().x(), 16); - - AccessWindowStatic input0_access(input0->info(), 0, 0, input0_access_end_x, input0_access_end_y); - AccessWindowStatic input1_access(input1->info(), 0, 0, input1_access_end_x, input1->info()->tensor_shape().y()); - AccessWindowRectangle output_access(output->info(), 0, 0, 16, 4); - update_window_and_padding(win, input0_access, input1_access, output_access); - - INEKernel::configure(win); -} - -void NEGEMMAArch64NativeKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - ARM_COMPUTE_UNUSED(info); - - const auto in1_ptr = reinterpret_cast<const float *>(_input1->buffer()); - - // Calculate row strides for each matrix - 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); - - // Calculate matrix sizes - const int M = std::min(_input0->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int K = _input0->info()->tensor_shape().x(); - const int N = _input1->info()->tensor_shape().x(); - - // Create window (Only iterate over batches) - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - // Create Iterators - Iterator in0(_input0, window); - Iterator out(_output, window); - - // Execute GEMM - execute_window_loop(win, [&](const Coordinates & id) - { - BlockedGemm<4, 16, float, float>(reinterpret_cast<const float *>(in0.ptr()), - reinterpret_cast<const float *>(in1_ptr), - reinterpret_cast<float *>(out.ptr()), - M, K, N, - lda, ldb, ldc); - }, - in0, out); -} -} // namespace arm_compute |