From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Mon, 4 Sep 2017 18:44:23 +0100 Subject: COMPMID-344 Updated doxygen Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae --- src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp | 150 +++++++++++++++++++++ 1 file changed, 150 insertions(+) create mode 100644 src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp (limited to 'src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp') diff --git a/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp b/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp new file mode 100644 index 0000000000..ccf5cb4de3 --- /dev/null +++ b/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp @@ -0,0 +1,150 @@ +/* + * Copyright (c) 2016, 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/NEGEMMTranspose1xWKernel.h" + +#include "arm_compute/core/AccessWindowTranspose.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 +#include +#include + +using namespace arm_compute; + +void NEGEMMTranspose1xWKernel::configure(const ITensor *input, ITensor *output) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::U8, DataType::S8, DataType::U16, DataType::S16, DataType::U32, DataType::S32, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_NULLPTR(output); + + TensorShape output_shape{ input->info()->tensor_shape() }; + const size_t transpose_w = 16 / input->info()->element_size(); + output_shape.set(0, input->info()->dimension(1) * transpose_w); + output_shape.set(1, static_cast(std::ceil((input->info()->dimension(0) / static_cast(transpose_w))))); + + // Output tensor auto inizialitation if not yet initialized + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); + + const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); + const float scale_x = num_elems_processed_per_iteration; + + _input = input; + _output = output; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + AccessWindowTranspose output_access(output->info(), 0, 0, num_elems_processed_per_iteration, 1, scale_x, 1.f / scale_x); + + update_window_and_padding(win, + AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration), + output_access); + + output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEGEMMTranspose1xWKernel::run(const Window &window) +{ + 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(in.ptr()); + const auto out_ptr = reinterpret_cast(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(in.ptr()); + const auto out_ptr = reinterpret_cast(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; + } + } +} -- cgit v1.2.1