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Diffstat (limited to 'src/core/NEON/kernels/NEScaleKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEScaleKernel.cpp | 629 |
1 files changed, 0 insertions, 629 deletions
diff --git a/src/core/NEON/kernels/NEScaleKernel.cpp b/src/core/NEON/kernels/NEScaleKernel.cpp deleted file mode 100644 index 5a6d49bf07..0000000000 --- a/src/core/NEON/kernels/NEScaleKernel.cpp +++ /dev/null @@ -1,629 +0,0 @@ -/* - * Copyright (c) 2016-2020 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/NEON/kernels/NEScaleKernel.h" - -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/misc/Utility.h" -#include "src/core/AccessWindowStatic.h" -#include "src/core/CPP/Validate.h" -#include "src/core/NEON/wrapper/wrapper.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/ScaleHelpers.h" -#include "src/core/helpers/WindowHelpers.h" -#include "src/core/utils/ScaleUtils.h" -#include "support/Rounding.h" - -#include <arm_neon.h> -#include <map> - -namespace arm_compute -{ -namespace -{ -inline float compute_bilinear(float a00, float a01, float a10, float a11, float dx_val, float dy_val) -{ - const float dx1_val = 1.0f - dx_val; - const float dy1_val = 1.0f - dy_val; - - const float w1 = dx1_val * dy1_val; - const float w2 = dx_val * dy1_val; - const float w3 = dx1_val * dy_val; - const float w4 = dx_val * dy_val; - return a00 * w1 + a01 * w2 + a10 * w3 + a11 * w4; -} - -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, - const ITensorInfo *offsets, ITensorInfo *output, const ScaleKernelInfo &info) -{ - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32, DataType::QASYMM8, DataType::QASYMM8_SIGNED); - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON(output == input); - ARM_COMPUTE_RETURN_ERROR_ON(info.sampling_policy != SamplingPolicy::CENTER && info.sampling_policy != SamplingPolicy::TOP_LEFT); - ARM_COMPUTE_UNUSED(info.constant_border_value); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.use_padding, "Padding is not supported"); - - const DataLayout data_layout = input->data_layout(); - const auto width_index = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); - const auto height_index = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); - const auto output_width = output->dimension(width_index); - const auto output_height = output->dimension(height_index); - ARM_COMPUTE_RETURN_ERROR_ON(output_width == 0); - ARM_COMPUTE_RETURN_ERROR_ON(output_height == 0); - - if(info.interpolation_policy == InterpolationPolicy::NEAREST_NEIGHBOR) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(offsets, 1, DataType::S32); - } - - if(info.interpolation_policy == InterpolationPolicy::BILINEAR) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(offsets, 1, DataType::S32); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dx, 1, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dy, 1, DataType::F32); - } - - ARM_COMPUTE_RETURN_ERROR_ON(info.align_corners && !scale_utils::is_align_corners_allowed_sampling_policy(info.sampling_policy)); - - if(info.interpolation_policy == InterpolationPolicy::AREA) - { - ARM_COMPUTE_RETURN_ERROR_ON(data_layout != DataLayout::NCHW); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); - } - - return Status{}; -} -} // namespace - -NEScaleKernel::NEScaleKernel() - : _func(nullptr), _offsets(nullptr), _dx(nullptr), _dy(nullptr), _input(nullptr), _output(nullptr), _policy(), _border_mode(), _constant_border_value(PixelValue()), _sampling_offset(0), - _align_corners(false) -{ -} - -void NEScaleKernel::configure(const ITensor *input, const ITensor *dx, const ITensor *dy, const ITensor *offsets, - ITensor *output, const ScaleKernelInfo &info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - // Perform validation step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), - dx != nullptr ? dx->info() : nullptr, - dy != nullptr ? dy->info() : nullptr, - offsets != nullptr ? offsets->info() : nullptr, - output->info(), - info)); - - // Get data layout and width/height indices - const DataLayout data_layout = input->info()->data_layout(); - const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); - const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); - - _input = input; - _output = output; - _offsets = offsets; - _dx = dx; - _dy = dy; - _policy = info.interpolation_policy; - _border_mode = info.border_mode; - _constant_border_value = info.constant_border_value; - _align_corners = info.align_corners; - - if(info.sampling_policy == SamplingPolicy::CENTER) - { - _sampling_offset = 0.5f; - } - - // Compute the ratio between source width/height and destination width/height - const auto wr = scale_utils::calculate_resize_ratio(input->info()->dimension(idx_width), output->info()->dimension(idx_width), _align_corners); - const auto hr = scale_utils::calculate_resize_ratio(input->info()->dimension(idx_height), output->info()->dimension(idx_height), _align_corners); - - // Area interpolation behaves as Nearest Neighbour in case of up-sampling - const auto policy_to_use = (info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) ? InterpolationPolicy::NEAREST_NEIGHBOR : _policy; - - if(_border_mode == BorderMode::UNDEFINED) - { - _border_mode = BorderMode::CONSTANT; - _constant_border_value = PixelValue(); - } - std::string function_to_call("scale_"); - function_to_call += string_from_data_type(_input->info()->data_type()) + "_"; - function_to_call += string_from_data_layout(_input->info()->data_layout()) + "_"; - function_to_call += string_from_interpolation_policy(policy_to_use); - - static std::map<std::string, ScaleFunctionPtr> map_function = - { - { "scale_U8_NCHW_AREA_CONSTANT", &NEScaleKernel::scale_area_nchw_u8 }, - - { "scale_U8_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw<uint8_t> }, - { "scale_U8_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw<uint8_t> }, - - { "scale_U8_NHWC_BILINEAR", &NEScaleKernel::scale_bilinear_nhwc<uint8_t> }, - { "scale_U8_NHWC_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nhwc<uint8_t> }, - - { "scale_QASYMM8_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_qasymm<uint8_t> }, - { "scale_QASYMM8_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw<uint8_t> }, - - { "scale_QASYMM8_NHWC_BILINEAR", &NEScaleKernel::scale_bilinear_qasymm<uint8_t> }, - { "scale_QASYMM8_NHWC_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nhwc<uint8_t> }, - - { "scale_QASYMM8_SIGNED_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_qasymm<int8_t> }, - { "scale_QASYMM8_SIGNED_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw<uint8_t> }, - - { "scale_QASYMM8_SIGNED_NHWC_BILINEAR", &NEScaleKernel::scale_bilinear_qasymm<int8_t> }, - { "scale_QASYMM8_SIGNED_NHWC_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nhwc<uint8_t> }, - - { "scale_S16_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw<int16_t> }, - { "scale_S16_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw<uint16_t> }, - - { "scale_S16_NHWC_BILINEAR", &NEScaleKernel::scale_bilinear_nhwc<int16_t> }, - { "scale_S16_NHWC_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nhwc<uint16_t> }, - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - { "scale_F16_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw<float16_t> }, - { "scale_F16_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw<uint16_t> }, - - { "scale_F16_NHWC_BILINEAR", &NEScaleKernel::scale_bilinear_nhwc<float16_t> }, - { "scale_F16_NHWC_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nhwc<uint16_t> }, -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - - { "scale_F32_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw<float> }, - { "scale_F32_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw<float> }, - - { "scale_F32_NHWC_BILINEAR", &NEScaleKernel::scale_bilinear_nhwc<float> }, - { "scale_F32_NHWC_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nhwc<float> }, - }; - auto it = map_function.find(function_to_call); - if(it != map_function.end()) - { - _func = it->second; - } - - // Configure window - Window win = calculate_max_window(*output->info(), Steps()); - Coordinates coord; - coord.set_num_dimensions(output->info()->num_dimensions()); - output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape())); - INEKernel::configure(win); -} - -template <typename T> -void NEScaleKernel::scale_nearest_nchw(const Window &window) -{ - const size_t in_stride_x = _input->info()->dimension(0) + _input->info()->padding().left + _input->info()->padding().right; - - // Compute the ratio between source height and destination height - const auto hr = scale_utils::calculate_resize_ratio(_input->info()->dimension(1), _output->info()->dimension(1), _align_corners); - - // 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)); - - // Set offsets window - 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)); - } - - // Create iterators - Iterator in(_input, win_in); - Iterator out(_output, window); - Iterator offsets(_offsets, win_off); - execute_window_loop(window, [&](const Coordinates & id) - { - const auto offsets_ptr = reinterpret_cast<const int32_t *>(offsets.ptr()); - const auto in_yi = static_cast<int32_t>(_align_corners ? utils::rounding::round_half_away_from_zero((id.y() + _sampling_offset) * hr) : std::floor((id.y() + _sampling_offset) * hr)); - const int32_t offset_row = in_yi * in_stride_x; - *reinterpret_cast<T *>(out.ptr()) = *(reinterpret_cast<const T *>(in.ptr()) + offsets_ptr[0] + offset_row); - }, - in, offsets, out); -} - -template <typename T> -void NEScaleKernel::scale_bilinear_nchw(const Window &window) -{ - // Compute the ratio between source height and destination height - const auto hr = scale_utils::calculate_resize_ratio(_input->info()->dimension(1), _output->info()->dimension(1), _align_corners); - Window win_off; - win_off.set(Window::DimX, window.x()); - win_off.set(Window::DimY, window.y()); - - // 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)); - - 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); - - const int32_t in_dim_w = _input->info()->dimension(0); - const int32_t in_dim_h = _input->info()->dimension(1); - const int32_t in_stride_w = in_dim_w + _input->info()->padding().left + _input->info()->padding().right; - - if(_border_mode == BorderMode::CONSTANT) - { -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - using ConstType = typename std::conditional<std::is_same<T, float16_t>::value, half, T>::type; -#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - using ConstType = T; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - const T const_border_value = static_cast<T>(_constant_border_value.get<ConstType>()); - execute_window_loop(window, [&](const Coordinates & id) - { - const int32_t index_h = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); - const auto index_w = *(reinterpret_cast<const int32_t *>(offsets.ptr())); - const auto dx_val = *(reinterpret_cast<const float *>(dx.ptr())); - const auto dy_val = *(reinterpret_cast<const float *>(dy.ptr())); - const auto pixel_row_ptr = reinterpret_cast<const T *>(in.ptr()); - - const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? (*(pixel_row_ptr + index_w + index_h * in_stride_w)) : const_border_value; - const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? (*(pixel_row_ptr + index_w + 1 + index_h * in_stride_w)) : const_border_value; - const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h - && index_h < in_dim_h - 1) ? - (*(pixel_row_ptr + index_w + index_h * in_stride_w + in_stride_w)) : - const_border_value; - const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h - && index_h < in_dim_h - 1) ? - (*(pixel_row_ptr + index_w + 1 + index_h * in_stride_w + in_stride_w)) : - const_border_value; - - *reinterpret_cast<T *>(out.ptr()) = static_cast<T>(compute_bilinear(a00, a01, a10, a11, dx_val, dy_val)); - }, - in, offsets, dx, dy, out); - } - else if(_border_mode == BorderMode::REPLICATE) - { - execute_window_loop(window, [&](const Coordinates & id) - { - const int index_h = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); - const auto index_w = *(reinterpret_cast<const int32_t *>(offsets.ptr())); - const auto dx_val = *(reinterpret_cast<const float *>(dx.ptr())); - const auto dy_val = *(reinterpret_cast<const float *>(dy.ptr())); - const auto pixel_row_ptr = reinterpret_cast<const T *>(in.ptr()); - - auto clamped_x = utility::clamp<int>(index_w, 0, in_dim_w - 1); - auto clamped_x1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); - auto clamped_y = utility::clamp<int>(index_h, 0, in_dim_h - 1); - auto clamped_y1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); - - const auto a00 = *(pixel_row_ptr + clamped_x + clamped_y * in_stride_w); - const auto a01 = *(pixel_row_ptr + clamped_x1 + clamped_y * in_stride_w); - const auto a10 = *(pixel_row_ptr + clamped_x + clamped_y1 * in_stride_w); - const auto a11 = *(pixel_row_ptr + clamped_x1 + clamped_y1 * in_stride_w); - - *reinterpret_cast<T *>(out.ptr()) = static_cast<T>(compute_bilinear(a00, a01, a10, a11, dx_val, dy_val)); - }, - in, offsets, dx, dy, out); - } - else - { - ARM_COMPUTE_ERROR("Not implemented"); - } -} - -void NEScaleKernel::scale_area_nchw_u8(const Window &window) -{ - using namespace scale_helpers; - - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(_input, 1, DataType::U8); - - // Don't increment in width/height/channels 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)); - win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); - - Iterator in(_input, win_in); - Iterator out(_output, window); - - const auto wr = scale_utils::calculate_resize_ratio(_input->info()->dimension(0), _output->info()->dimension(0), _align_corners); - const auto hr = scale_utils::calculate_resize_ratio(_input->info()->dimension(1), _output->info()->dimension(1), _align_corners); - 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); -} - -template <typename T> -void NEScaleKernel::scale_nearest_nhwc(const Window &window) -{ - const size_t in_stride_c = _input->info()->dimension(0) + _input->info()->padding().left + _input->info()->padding().right; - const size_t in_stride_w = _input->info()->dimension(1) + _input->info()->padding().top + _input->info()->padding().bottom; - const size_t in_stride_wc = in_stride_w * in_stride_c; - const size_t in_dim_h = _input->info()->dimension(2); - - // Compute the ratio between source height and destination height - const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, _output->info()->dimension(2), _align_corners); - const auto window_start_x = static_cast<int32_t>(window.x().start()); - const auto window_end_x = static_cast<int32_t>(window.x().end()); - const int window_step_x = 16 / sizeof(T); - - Window win(window); - win.set(Window::DimX, Window::Dimension(0, 1, 1)); - Iterator out(_output, win); - - const uint8_t *in_ptr_start = _input->buffer() + _input->info()->offset_first_element_in_bytes(); - const unsigned int in_stride_bytes_hwc = _input->info()->strides_in_bytes()[3]; - - execute_window_loop(win, [&](const Coordinates & id) - { - const int32_t offset = *reinterpret_cast<const int32_t *>(_offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; - const auto in_hi = static_cast<int>(_align_corners ? utils::rounding::round_half_away_from_zero((id.z() + _sampling_offset) * hr) : std::floor((id.z() + _sampling_offset) * hr)); - const int offset_row = in_hi * in_stride_wc; - int32_t x = window_start_x; - const T *in_ptr = reinterpret_cast<const T *>(in_ptr_start + in_stride_bytes_hwc * id[3]); - - for(; x <= window_end_x - window_step_x; x += window_step_x) - { - wrapper::vstore(reinterpret_cast<T *>(out.ptr()) + x, - wrapper::vloadq(in_ptr + offset + offset_row + x)); - } - for(; x < window_end_x; ++x) - { - *(reinterpret_cast<T *>(out.ptr()) + x) = *(in_ptr + offset + offset_row + x); - } - }, - out); -} - -template <typename T> -void NEScaleKernel::scale_bilinear_nhwc(const Window &window) -{ - // Compute the ratio between source height and destination height - const auto hr = scale_utils::calculate_resize_ratio(_input->info()->dimension(2), _output->info()->dimension(2), _align_corners); - - Iterator out(_output, window); - const int in_stride_c = _input->info()->dimension(0) + _input->info()->padding().left + _input->info()->padding().right; - const int in_dim_w = _input->info()->dimension(1); - const int in_dim_h = _input->info()->dimension(2); - const int in_stride_wc = in_stride_c * (in_dim_w + _input->info()->padding().top + _input->info()->padding().bottom); - - // Don't increment in Y and Z 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::DimY, Window::Dimension(0, 0, 0)); - win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); - Iterator in(_input, win_in); - - if(_border_mode == BorderMode::CONSTANT) - { -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - using ConstType = typename std::conditional<std::is_same<T, float16_t>::value, half, T>::type; -#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - using ConstType = T; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - const T const_border_value = static_cast<T>(_constant_border_value.get<ConstType>()); - execute_window_loop(window, [&](const Coordinates & id) - { - const auto offset = *reinterpret_cast<const int32_t *>(_offsets->ptr_to_element(Coordinates(id.y(), id.z()))); - const auto dx_val = *reinterpret_cast<const float *>(_dx->ptr_to_element(Coordinates(id.y(), id.z()))); - const auto dy_val = *reinterpret_cast<const float *>(_dy->ptr_to_element(Coordinates(id.y(), id.z()))); - const int32_t in_hi = std::floor((id.z() + _sampling_offset) * hr - _sampling_offset); - const T *in_ptr = reinterpret_cast<const T *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; - - const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; - const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; - const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; - const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; - - *reinterpret_cast<T *>(out.ptr()) = static_cast<T>(compute_bilinear(a00, a01, a10, a11, dx_val, dy_val)); - }, - in, out); - } - else if(_border_mode == BorderMode::REPLICATE) - { - execute_window_loop(window, [&](const Coordinates & id) - { - const auto offset = *reinterpret_cast<const int32_t *>(_offsets->ptr_to_element(Coordinates(id.y(), id.z()))); - const auto dx_val = *reinterpret_cast<const float *>(_dx->ptr_to_element(Coordinates(id.y(), id.z()))); - const auto dy_val = *reinterpret_cast<const float *>(_dy->ptr_to_element(Coordinates(id.y(), id.z()))); - const int in_hi = std::floor((id.z() + _sampling_offset) * hr - _sampling_offset); - - auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); - auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); - auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); - auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); - - const auto a00 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); - const auto a01 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); - const auto a10 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); - const auto a11 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); - - *reinterpret_cast<T *>(out.ptr()) = static_cast<T>(compute_bilinear(a00, a01, a10, a11, dx_val, dy_val)); - }, - in, out); - } - else - { - ARM_COMPUTE_ERROR("Not implemented"); - } -} - -template <typename T> -void NEScaleKernel::scale_bilinear_qasymm(const Window &window) -{ - // Get data layout and width/height indices - const DataLayout data_layout = _input->info()->data_layout(); - const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); - const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); - - // Compute the ratio between source height and destination height - const auto hr = scale_utils::calculate_resize_ratio(_input->info()->dimension(idx_height), _output->info()->dimension(idx_height), _align_corners); - Window win_off; - win_off.set(Window::DimX, Window::Dimension(0, 0, 0)); - win_off.set(Window::DimY, Window::Dimension(0, 0, 0)); - - // 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(idx_width, Window::Dimension(0, 0, 0)); - win_in.set(idx_height, Window::Dimension(0, 0, 0)); - - 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); - - const int32_t in_dim_w = _input->info()->dimension(idx_width); - const int32_t in_dim_h = _input->info()->dimension(idx_height); - const int32_t stride_w = _input->info()->strides_in_bytes()[idx_width]; - const int32_t stride_h = _input->info()->strides_in_bytes()[idx_height]; - - const UniformQuantizationInfo iq_info = _input->info()->quantization_info().uniform(); - const UniformQuantizationInfo oq_info = _output->info()->quantization_info().uniform(); - - if(_border_mode == BorderMode::CONSTANT) - { -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - using ConstType = typename std::conditional<std::is_same<T, float16_t>::value, half, T>::type; -#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - using ConstType = T; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - const T const_border_value = static_cast<T>(_constant_border_value.get<ConstType>()); - execute_window_loop(window, [&](const Coordinates & id) - { - const int32_t index_h = std::floor((id[idx_height] + _sampling_offset) * hr - _sampling_offset); - const int32_t index_w = *(reinterpret_cast<const int32_t *>(_offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dx_val = *(reinterpret_cast<const float *>(_dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dy_val = *(reinterpret_cast<const float *>(_dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto pixel_row_ptr = reinterpret_cast<const T *>(in.ptr()); - - const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? - (*(pixel_row_ptr + index_w * stride_w + index_h * stride_h)) : - const_border_value; - const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? - (*(pixel_row_ptr + (index_w + 1) * stride_w + index_h * stride_h)) : - const_border_value; - const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h && index_h < in_dim_h - 1) ? - (*(pixel_row_ptr + index_w * stride_w + (index_h + 1) * stride_h)) : - const_border_value; - const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h && index_h < in_dim_h - 1) ? - (*(pixel_row_ptr + (index_w + 1) * stride_w + (index_h + 1) * stride_h)) : - const_border_value; - - const float inp00 = Qasymm8QuantizationHelper<T>::dequantize(a00, iq_info); - const float inp01 = Qasymm8QuantizationHelper<T>::dequantize(a01, iq_info); - const float inp10 = Qasymm8QuantizationHelper<T>::dequantize(a10, iq_info); - const float inp11 = Qasymm8QuantizationHelper<T>::dequantize(a11, iq_info); - *reinterpret_cast<T *>(out.ptr()) = Qasymm8QuantizationHelper<T>::quantize(compute_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); - }, - in, out); - } - else if(_border_mode == BorderMode::REPLICATE) - { - execute_window_loop(window, [&](const Coordinates & id) - { - const int index_h = std::floor((id[idx_height] + _sampling_offset) * hr - _sampling_offset); - const int32_t index_w = *(reinterpret_cast<const int32_t *>(_offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dx_val = *(reinterpret_cast<const float *>(_dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dy_val = *(reinterpret_cast<const float *>(_dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto pixel_row_ptr = reinterpret_cast<const T *>(in.ptr()); - - auto clamped_w = utility::clamp<int>(index_w, 0, in_dim_w - 1); - auto clamped_w1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); - auto clamped_h = utility::clamp<int>(index_h, 0, in_dim_h - 1); - auto clamped_h1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); - - const auto a00 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h * stride_h); - const auto a01 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h * stride_h); - const auto a10 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h1 * stride_h); - const auto a11 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h1 * stride_h); - - const float inp00 = Qasymm8QuantizationHelper<T>::dequantize(a00, iq_info); - const float inp01 = Qasymm8QuantizationHelper<T>::dequantize(a01, iq_info); - const float inp10 = Qasymm8QuantizationHelper<T>::dequantize(a10, iq_info); - const float inp11 = Qasymm8QuantizationHelper<T>::dequantize(a11, iq_info); - *reinterpret_cast<T *>(out.ptr()) = Qasymm8QuantizationHelper<T>::quantize(compute_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); - }, - in, out); - } - else - { - ARM_COMPUTE_ERROR("Not implemented"); - } -} - -Status NEScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, - const ITensorInfo *offsets, ITensorInfo *output, const ScaleKernelInfo &info) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, dx, dy, offsets, output, info)); - return Status{}; -} - -void NEScaleKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - 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); -} -} // namespace arm_compute |