| /* |
| * 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 <arm_neon.h> |
| #include <cstddef> |
| #include <cstdint> |
| |
| 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<float>(_input->info()->dimension(1)) / static_cast<float>(_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<const int32_t *>(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<const int32_t *>(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<const int16_t *>(in.ptr() + offsets_ptr[0] + offset_row), tmp.val[0], 0); |
| tmp.val[0] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[2] + offset_row), tmp.val[0], 1); |
| tmp.val[0] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[4] + offset_row), tmp.val[0], 2); |
| tmp.val[0] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[6] + offset_row), tmp.val[0], 3); |
| tmp.val[0] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[8] + offset_row), tmp.val[0], 4); |
| tmp.val[0] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[10] + offset_row), tmp.val[0], 5); |
| tmp.val[0] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[12] + offset_row), tmp.val[0], 6); |
| tmp.val[0] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[14] + offset_row), tmp.val[0], 7); |
| |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[1] + offset_row), tmp.val[1], 0); |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[3] + offset_row), tmp.val[1], 1); |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[5] + offset_row), tmp.val[1], 2); |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[7] + offset_row), tmp.val[1], 3); |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[9] + offset_row), tmp.val[1], 4); |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[11] + offset_row), tmp.val[1], 5); |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[13] + offset_row), tmp.val[1], 6); |
| tmp.val[1] = vsetq_lane_s16(*reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[15] + offset_row), tmp.val[1], 7); |
| |
| vst2q_s16(reinterpret_cast<int16_t *>(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<float>(_input->info()->dimension(1)) / static_cast<float>(_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<const int32_t *>(offsets.ptr()); |
| const auto dx_ptr = reinterpret_cast<const float *>(dx.ptr()); |
| const auto dy_ptr = reinterpret_cast<const float *>(dy.ptr()); |
| const auto in_ptr = reinterpret_cast<const uint8_t *>(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<float>(_input->info()->dimension(0)) / static_cast<float>(_output->info()->dimension(0)); |
| const auto hr = static_cast<float>(_input->info()->dimension(1)) / static_cast<float>(_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<const uint8_t *>(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); |
| } |