diff options
Diffstat (limited to 'src/core/cpu/kernels/CpuGemmInterleave4x4Kernel.cpp')
| -rw-r--r-- | src/core/cpu/kernels/CpuGemmInterleave4x4Kernel.cpp | 151 |
1 files changed, 0 insertions, 151 deletions
diff --git a/src/core/cpu/kernels/CpuGemmInterleave4x4Kernel.cpp b/src/core/cpu/kernels/CpuGemmInterleave4x4Kernel.cpp deleted file mode 100644 index a6b080c0ab..0000000000 --- a/src/core/cpu/kernels/CpuGemmInterleave4x4Kernel.cpp +++ /dev/null @@ -1,151 +0,0 @@ -/* - * Copyright (c) 2016-2021 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 "src/core/cpu/kernels/CpuGemmInterleave4x4Kernel.h" - -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" - -#include <arm_neon.h> - -namespace arm_compute -{ -namespace cpu -{ -namespace kernels -{ -using namespace arm_compute::misc::shape_calculator; - -void CpuGemmInterleave4x4Kernel::configure(const ITensorInfo *src, ITensorInfo *dst) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); - - // dst auto inizialitation if not yet initialized - auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_interleaved_shape(*src))); - - // Perform validate step - ARM_COMPUTE_ERROR_THROW_ON(CpuGemmInterleave4x4Kernel::validate(src, dst)); - - Window win = calculate_max_window(*src, Steps(1, 4)); - ICPPKernel::configure(win); -} - -Status CpuGemmInterleave4x4Kernel::validate(const ITensorInfo *src, const ITensorInfo *dst) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); - //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions. - ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); - - if(dst->total_size() != 0) - { - const TensorShape dst_shape = compute_interleaved_shape(*src); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), dst_shape); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); - } - - return Status{}; -} - -void CpuGemmInterleave4x4Kernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); - ARM_COMPUTE_ERROR_ON(tensors.empty()); - /* - * This kernel puts the values in a 4x4 block of Matrix A on the same row (Interleaved values) - * |a00 a01 a02 a03| - * |a10 a11 a12 a13| - * |a20 a21 a22 a23| = | a00 a10 a20 a30 || a01 a11 a21 a31 || a02 a12 a22 a32 || a03 a13 a23 a33 | - * |a30 a31 a32 a33| - * - * After this operation, the dst matrix will have the following shape: [ height * 4, ceil(width / 4.0f) ] - */ - const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC); - ITensor *dst = tensors.get_tensor(TensorType::ACL_DST); - - const size_t window_start_x = window.x().start(); - const size_t window_end_x = window.x().end(); - - const size_t in_height = src->info()->dimension(1); - const size_t in_stride = src->info()->strides_in_bytes()[1]; - - const size_t partial_y = in_height % 4; - - const size_t element_size = src->info()->element_size(); - - // Set window for the src tensor - Window win = window; - win.set(Window::DimX, Window::Dimension(0, 1, 1)); - - // Set window for the dst tensor - Window win_out(window); - win_out.set(Window::DimX, Window::Dimension(0, 1, 1)); - win_out.scale(Window::DimY, 0.25f); - - Iterator in(src, win); - Iterator out(dst, win_out); - - execute_window_loop(win, [&](const Coordinates & id) - { - if(id.y() + 4 <= static_cast<int>(in_height)) - { - for(size_t x = window_start_x; x < window_end_x; ++x) - { - std::memcpy(out.ptr() + (x * 4 + 0) * element_size, (in.ptr() + 0 * in_stride) + x * element_size, element_size); - std::memcpy(out.ptr() + (x * 4 + 1) * element_size, (in.ptr() + 1 * in_stride) + x * element_size, element_size); - std::memcpy(out.ptr() + (x * 4 + 2) * element_size, (in.ptr() + 2 * in_stride) + x * element_size, element_size); - std::memcpy(out.ptr() + (x * 4 + 3) * element_size, (in.ptr() + 3 * in_stride) + x * element_size, element_size); - } - } - else - { - for(size_t x = window_start_x; x < window_end_x; ++x) - { - size_t y = 0; - for(; y < partial_y; ++y) - { - std::memcpy(out.ptr() + (x * 4 + y) * element_size, (in.ptr() + y * in_stride) + x * element_size, element_size); - } - for(; y < 4; ++y) - { - std::memset(out.ptr() + (x * 4 + y) * element_size, 0, element_size); - } - } - } - }, - in, out); -} - -const char *CpuGemmInterleave4x4Kernel::name() const -{ - return "CpuGemmInterleave4x4Kernel"; -} -} // namespace kernels -} // namespace cpu -} // namespace arm_compute |