diff options
Diffstat (limited to 'src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp | 194 |
1 files changed, 0 insertions, 194 deletions
diff --git a/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp b/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp deleted file mode 100644 index 88104f7297..0000000000 --- a/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp +++ /dev/null @@ -1,194 +0,0 @@ -/* - * Copyright (c) 2016-2019 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/NEGEMMTranspose1xWKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/Coordinates.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" - -#include <arm_neon.h> -#include <cstddef> -#include <cstring> - -using namespace arm_compute; - -namespace -{ -TensorShape get_output_shape(const ITensorInfo *input) -{ - TensorShape output_shape{ input->tensor_shape() }; - const size_t transpose_w = 16 / input->element_size(); - output_shape.set(0, input->dimension(1) * transpose_w); - output_shape.set(1, static_cast<size_t>(std::ceil((input->dimension(0) / static_cast<float>(transpose_w))))); - return output_shape; -} - -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); - ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); - //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions. - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - - if(output->total_size() != 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), get_output_shape(input)); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); - } - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) -{ - const unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); - - // Configure kernel window - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); - - AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); - - // Configure window in case of configured output - if(output->total_size() != 0) - { - AccessWindowStatic output_access(output, 0, 0, output->dimension(0), output->dimension(1)); - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); - } - - const bool window_changed = update_window_and_padding(win, input_access); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -void NEGEMMTranspose1xWKernel::configure(const ITensor *input, ITensor *output) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Output tensor auto inizialitation if not yet initialized - auto_init_if_empty(*output->info(), get_output_shape(input->info()), 1, input->info()->data_type()); - - // Perform validate step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info())); - - _input = input; - _output = output; - - // Configure kernel window - auto win_config = validate_and_configure_window(input->info(), output->info()); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - INEKernel::configure(win_config.second); -} - -Status NEGEMMTranspose1xWKernel::validate(const ITensorInfo *input, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first); - - return Status{}; -} - -void NEGEMMTranspose1xWKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window); - - /* - * Following an example of how the transposition1xW works when the input data type is F32 - * - * |a00 a01 a02 a03| - * |a10 a11 a12 a13| - * |a20 a21 a22 a23| = | a00 a01 a02 a03 || a10 a11 a12 a13 || a20 a21 a22 a23 || a30 a31 a32 a33 | - * |a30 a31 a32 a33| - * - * The output matrix will have the following shape: [ height * W, ceil(width / W) ], where W = (16 / element size of the tensor) - */ - - // Set window for output tensor. Set to 0 the X and Y dimensions in order to allow multi-threading implementation and future batched matrix multiplications - Window win_out(window); - win_out.set(Window::DimX, Window::Dimension(0, 0, 0)); - win_out.set(Window::DimY, Window::Dimension(0, 0, 0)); - - Iterator in(_input, window); - Iterator out(_output, win_out); - - switch(_input->info()->element_size()) - { - case 1: - { - const size_t out_stride = _output->info()->strides_in_bytes()[1]; - execute_window_loop(window, [&](const Coordinates & id) - { - // Output address = base addr + (y * 16) + (x / 16 ) * stride - const uint8_t *in_ptr = in.ptr(); - uint8_t *const out_ptr = out.ptr() + (id.y() << 4) + (id.x() >> 4) * out_stride; - vst1q_u8(out_ptr, vld1q_u8(in_ptr)); - }, - in, out); - break; - } - case 2: - { - const size_t out_stride = _output->info()->strides_in_bytes()[1] / sizeof(int16_t); - execute_window_loop(window, [&](const Coordinates & id) - { - // Output address = base addr + (y * 8) + (x / 8 ) * stride - const auto in_ptr = reinterpret_cast<const uint16_t *>(in.ptr()); - const auto out_ptr = reinterpret_cast<uint16_t *>(out.ptr()) + (id.y() << 3) + (id.x() >> 3) * out_stride; - vst1q_u16(out_ptr, vld1q_u16(in_ptr)); - }, - in, out); - break; - } - case 4: - { - const size_t out_stride = _output->info()->strides_in_bytes()[1] / sizeof(float); - execute_window_loop(window, [&](const Coordinates & id) - { - // Output address = base addr + (y * 4) + (x / 4 ) * stride - const auto in_ptr = reinterpret_cast<const uint32_t *>(in.ptr()); - const auto out_ptr = reinterpret_cast<uint32_t *>(out.ptr()) + (id.y() << 2) + (id.x() >> 2) * out_stride; - vst1q_u32(out_ptr, vld1q_u32(in_ptr)); - }, - in, out); - break; - } - default: - { - ARM_COMPUTE_ERROR("Element size not supported"); - break; - } - } -} |