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/NEScaleKernel.cpp | 359 ++++++++++++++++++++++++++++++++ 1 file changed, 359 insertions(+) create mode 100644 src/core/NEON/kernels/NEScaleKernel.cpp (limited to 'src/core/NEON/kernels/NEScaleKernel.cpp') diff --git a/src/core/NEON/kernels/NEScaleKernel.cpp b/src/core/NEON/kernels/NEScaleKernel.cpp new file mode 100644 index 0000000000..fd2978de1c --- /dev/null +++ b/src/core/NEON/kernels/NEScaleKernel.cpp @@ -0,0 +1,359 @@ +/* + * 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/NEScaleKernel.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/TensorInfo.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include +#include +#include + +using namespace arm_compute; + +NEScaleKernel::NEScaleKernel() + : _func(nullptr), _offsets(nullptr), _dx(nullptr), _dy(nullptr), _input(nullptr), _output(nullptr) +{ +} + +BorderSize NEScaleKernel::border_size() const +{ + return BorderSize(1); +} + +void NEScaleKernel::configure(const ITensor *input, const ITensor *dx, const ITensor *dy, const ITensor *offsets, ITensor *output, InterpolationPolicy policy, bool border_undefined) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16); + + if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(offsets, 1, DataType::S32); + } + + if(policy == InterpolationPolicy::BILINEAR) + { + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(offsets, 1, DataType::S32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dx, 1, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dy, 1, DataType::F32); + } + + ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) == 0); + ARM_COMPUTE_ERROR_ON(output->info()->dimension(1) == 0); + + for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i) + { + ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i)); + } + + _input = input; + _output = output; + _offsets = offsets; + _dx = dx; + _dy = dy; + + switch(policy) + { + case InterpolationPolicy::NEAREST_NEIGHBOR: + { + _func = &NEScaleKernel::scale_nearest; + break; + } + case InterpolationPolicy::BILINEAR: + { + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(_dx, 1, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(_dy, 1, DataType::F32); + + _func = &NEScaleKernel::scale_bilinear; + break; + } + case InterpolationPolicy::AREA: + { + _func = &NEScaleKernel::scale_area; + break; + } + default: + ARM_COMPUTE_ERROR("Unsupported interpolation mode"); + } + + constexpr unsigned int num_elems_processed_per_iteration = 16; + const int border_offset = (border_undefined) ? 0 : border_size().left; + + // Configure kernel window + Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowStatic input_access(input->info(), -border_offset, -border_offset, input->info()->dimension(0) + border_offset, input->info()->dimension(1) + border_offset); + AccessWindowHorizontal offsets_access(offsets->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal dx_access(dx == nullptr ? nullptr : dx->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal dy_access(dy == nullptr ? nullptr : dy->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); + + update_window_and_padding(win, + input_access, + offsets_access, + dx_access, + dy_access, + output_access); + + output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEScaleKernel::scale_nearest(const Window &window) +{ + const size_t input_stride = _input->info()->strides_in_bytes()[1]; + + // Compute the ratio between source height and destination height + const auto hr = static_cast(_input->info()->dimension(1)) / static_cast(_output->info()->dimension(1)); + + // Don't increment in X and Y direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimX, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + + Window win_off; + win_off.set(Window::DimX, window[Window::DimX]); + win_off.set(Window::DimY, window[Window::DimY]); + + for(size_t d = Window::DimZ; d < _offsets->info()->num_dimensions(); ++d) + { + win_off.set(d, Window::Dimension(0, 0, 0)); + } + + Iterator in(_input, win_in); + Iterator out(_output, window); + Iterator offsets(_offsets, win_off); + + switch(_input->info()->data_type()) + { + case DataType::U8: + { + uint8x16_t tmp = vdupq_n_u8(0); + + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offsets_ptr = reinterpret_cast(offsets.ptr()); + const uint8_t *const in_ptr = in.ptr(); + + const size_t in_yi = (id.y() + 0.5f) * hr; + const size_t offset_row = in_yi * input_stride; + + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[0] + offset_row], tmp, 0); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[1] + offset_row], tmp, 1); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[2] + offset_row], tmp, 2); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[3] + offset_row], tmp, 3); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[4] + offset_row], tmp, 4); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[5] + offset_row], tmp, 5); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[6] + offset_row], tmp, 6); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[7] + offset_row], tmp, 7); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[8] + offset_row], tmp, 8); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[9] + offset_row], tmp, 9); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[10] + offset_row], tmp, 10); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[11] + offset_row], tmp, 11); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[12] + offset_row], tmp, 12); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[13] + offset_row], tmp, 13); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[14] + offset_row], tmp, 14); + tmp = vsetq_lane_u8(in_ptr[offsets_ptr[15] + offset_row], tmp, 15); + + vst1q_u8(out.ptr(), tmp); + }, + in, offsets, out); + break; + } + case DataType::S16: + { + int16x8x2_t tmp = + { + { + vdupq_n_s16(0), + vdupq_n_s16(0) + } + }; + + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offsets_ptr = reinterpret_cast(offsets.ptr()); + + const size_t in_yi = (id.y() + 0.5f) * hr; + const size_t offset_row = in_yi * input_stride; + + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[0] + offset_row), tmp.val[0], 0); + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[2] + offset_row), tmp.val[0], 1); + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[4] + offset_row), tmp.val[0], 2); + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[6] + offset_row), tmp.val[0], 3); + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[8] + offset_row), tmp.val[0], 4); + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[10] + offset_row), tmp.val[0], 5); + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[12] + offset_row), tmp.val[0], 6); + tmp.val[0] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[14] + offset_row), tmp.val[0], 7); + + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[1] + offset_row), tmp.val[1], 0); + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[3] + offset_row), tmp.val[1], 1); + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[5] + offset_row), tmp.val[1], 2); + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[7] + offset_row), tmp.val[1], 3); + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[9] + offset_row), tmp.val[1], 4); + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[11] + offset_row), tmp.val[1], 5); + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[13] + offset_row), tmp.val[1], 6); + tmp.val[1] = vsetq_lane_s16(*reinterpret_cast(in.ptr() + offsets_ptr[15] + offset_row), tmp.val[1], 7); + + vst2q_s16(reinterpret_cast(out.ptr()), tmp); + }, + in, offsets, out); + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + break; + } +} + +void NEScaleKernel::scale_bilinear(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(_input, 1, DataType::U8); + + // Compute the ratio between source height and destination height + const auto hr = static_cast(_input->info()->dimension(1)) / static_cast(_output->info()->dimension(1)); + + // Don't increment in X and Y direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimX, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + + Window win_off; + win_off.set(Window::DimX, window.x()); + win_off.set(Window::DimY, window.y()); + + for(size_t d = Window::DimZ; d < _offsets->info()->num_dimensions(); ++d) + { + win_off.set(d, Window::Dimension(0, 0, 0)); + } + + Iterator in(_input, win_in); + Iterator out(_output, window); + Iterator offsets(_offsets, win_off); + Iterator dx(_dx, win_off); + Iterator dy(_dy, win_off); + + /* Input image stride */ + const size_t in_stride = _input->info()->strides_in_bytes()[1]; + + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offsets_ptr = reinterpret_cast(offsets.ptr()); + const auto dx_ptr = reinterpret_cast(dx.ptr()); + const auto dy_ptr = reinterpret_cast(dy.ptr()); + const auto in_ptr = reinterpret_cast(in.ptr()); + + const size_t in_yi = std::floor((id.y() + 0.5f) * hr - 0.5f); + const size_t offset_row = in_yi * in_stride; + + uint8x8_t tmp0 = vdup_n_u8(0); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[0] + offset_row], in_stride, dx_ptr[0], dy_ptr[0]), tmp0, 0); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[1] + offset_row], in_stride, dx_ptr[1], dy_ptr[1]), tmp0, 1); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[2] + offset_row], in_stride, dx_ptr[2], dy_ptr[2]), tmp0, 2); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[3] + offset_row], in_stride, dx_ptr[3], dy_ptr[3]), tmp0, 3); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[4] + offset_row], in_stride, dx_ptr[4], dy_ptr[4]), tmp0, 4); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[5] + offset_row], in_stride, dx_ptr[5], dy_ptr[5]), tmp0, 5); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[6] + offset_row], in_stride, dx_ptr[6], dy_ptr[6]), tmp0, 6); + tmp0 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[7] + offset_row], in_stride, dx_ptr[7], dy_ptr[7]), tmp0, 7); + + uint8x8_t tmp1 = vdup_n_u8(0); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[8] + offset_row], in_stride, dx_ptr[8], dy_ptr[8]), tmp1, 0); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[9] + offset_row], in_stride, dx_ptr[9], dy_ptr[9]), tmp1, 1); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[10] + offset_row], in_stride, dx_ptr[10], dy_ptr[10]), tmp1, 2); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[11] + offset_row], in_stride, dx_ptr[11], dy_ptr[11]), tmp1, 3); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[12] + offset_row], in_stride, dx_ptr[12], dy_ptr[12]), tmp1, 4); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[13] + offset_row], in_stride, dx_ptr[13], dy_ptr[13]), tmp1, 5); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[14] + offset_row], in_stride, dx_ptr[14], dy_ptr[14]), tmp1, 6); + tmp1 = vset_lane_u8(delta_bilinear_c1u8(&in_ptr[offsets_ptr[15] + offset_row], in_stride, dx_ptr[15], dy_ptr[15]), tmp1, 7); + + vst1q_u8(out.ptr(), vcombine_u8(tmp0, tmp1)); + }, + in, offsets, dx, dy, out); +} + +void NEScaleKernel::scale_area(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(_input, 1, DataType::U8); + + // Don't increment in X and Y direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimX, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + + Iterator in(_input, win_in); + Iterator out(_output, window); + + const auto wr = static_cast(_input->info()->dimension(0)) / static_cast(_output->info()->dimension(0)); + const auto hr = static_cast(_input->info()->dimension(1)) / static_cast(_output->info()->dimension(1)); + const auto w = _input->info()->dimension(0); + const auto h = _input->info()->dimension(1); + const size_t in_stride = _input->info()->strides_in_bytes()[1]; + + execute_window_loop(window, [&](const Coordinates & id) + { + const auto in_ptr = reinterpret_cast(in.ptr()); + + uint8x8_t tmp0 = vdup_n_u8(0); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x(), id.y()), tmp0, 0); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 1, id.y()), tmp0, 1); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 2, id.y()), tmp0, 2); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 3, id.y()), tmp0, 3); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 4, id.y()), tmp0, 4); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 5, id.y()), tmp0, 5); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 6, id.y()), tmp0, 6); + tmp0 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 7, id.y()), tmp0, 7); + + uint8x8_t tmp1 = vdup_n_u8(0); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 8, id.y()), tmp1, 0); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 9, id.y()), tmp1, 1); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 10, id.y()), tmp1, 2); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 11, id.y()), tmp1, 3); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 12, id.y()), tmp1, 4); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 13, id.y()), tmp1, 5); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 14, id.y()), tmp1, 6); + tmp1 = vset_lane_u8(pixel_area_c1u8_clamp(in_ptr, in_stride, w, h, wr, hr, id.x() + 15, id.y()), tmp1, 7); + + vst1q_u8(out.ptr(), vcombine_u8(tmp0, tmp1)); + }, + in, out); +} + +void NEScaleKernel::run(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); + ARM_COMPUTE_ERROR_ON(_func == nullptr); + + (this->*_func)(window); +} -- cgit v1.2.1