From 10b3826723e1e2f62a4e635801128ddf4438e50c Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Fri, 19 Feb 2021 18:16:44 +0000 Subject: Port Arm(R) Neon(TM) Scale to new API Partially resolves: COMPMID-4190 Change-Id: I0c1e32ff6176775c9b7bf547899a791fd318ba0a Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5192 Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins Reviewed-by: TeresaARM Reviewed-by: Michele Di Giorgio Reviewed-by: Sheri Zhang --- src/core/NEON/kernels/NEScaleKernel.cpp | 597 -------------------------------- 1 file changed, 597 deletions(-) delete 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 deleted file mode 100644 index 6b9aa51aaa..0000000000 --- a/src/core/NEON/kernels/NEScaleKernel.cpp +++ /dev/null @@ -1,597 +0,0 @@ -/* - * Copyright (c) 2016-2021 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/kernels/scale/impl/NEON/list.h" -#include "src/core/NEON/kernels/scale/impl/SVE/list.h" -#include "src/core/NEON/wrapper/wrapper.h" -#include "src/core/common/Registrars.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 -#include - -namespace arm_compute -{ -namespace -{ -struct ScaleSelectorData -{ - DataType dt; -}; -using ScaleSelectorPtr = std::add_pointer::type; -using ScaleKernelPtr = std::add_pointer::type; -struct ScaleKernel -{ - const char *name; - const ScaleSelectorPtr is_selected; - ScaleKernelPtr ukernel; -}; - -static const ScaleKernel available_kernels[] = -{ -#if defined(__ARM_FEATURE_SVE) - { - "fp16_sve_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::F16; }, - REGISTER_FP16_NEON(arm_compute::cpu::fp16_sve_scale) - }, - { - "f32_sve_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::F32; }, - REGISTER_FP32_NEON(arm_compute::cpu::fp32_sve_scale) - }, - { - "qasymm8_sve_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::QASYMM8; }, - REGISTER_QASYMM8_NEON(arm_compute::cpu::qasymm8_sve_scale) - }, - { - "qasymm8_signed_sve_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::QASYMM8_SIGNED; }, - REGISTER_QASYMM8_SIGNED_NEON(arm_compute::cpu::qasymm8_signed_sve_scale) - }, - { - "u8_sve_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::U8; }, - REGISTER_INTEGER_NEON(arm_compute::cpu::u8_sve_scale) - }, - { - "s16_sve_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::S16; }, - REGISTER_INTEGER_NEON(arm_compute::cpu::s16_sve_scale) - }, -#else /* !defined(__ARM_FEATURE_SVE) */ -#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) - { - "common_neon_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::F16; }, - REGISTER_FP16_NEON(arm_compute::cpu::common_neon_scale) - }, -#endif /* !defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) */ - { - "common_neon_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::F32; }, - REGISTER_FP32_NEON(arm_compute::cpu::common_neon_scale) - }, - { - "qasymm8_neon_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::QASYMM8; }, - REGISTER_QASYMM8_NEON(arm_compute::cpu::qasymm8_neon_scale) - }, - { - "qasymm8_signed_neon_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::QASYMM8_SIGNED; }, - REGISTER_QASYMM8_SIGNED_NEON(arm_compute::cpu::qasymm8_signed_neon_scale) - }, - { - "common_neon_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::U8; }, - REGISTER_INTEGER_NEON(arm_compute::cpu::common_neon_scale) - }, - { - "common_neon_scale", - [](const ScaleSelectorData & data) { return data.dt == DataType::S16; }, - REGISTER_INTEGER_NEON(arm_compute::cpu::common_neon_scale) - }, -#endif /* !defined(__ARM_FEATURE_SVE) */ -}; - -/** Micro-kernel selector - * - * @param[in] data Selection data passed to help pick the appropriate micro-kernel - * - * @return A matching micro-kernel else nullptr - */ -const ScaleKernel *get_implementation(const ScaleSelectorData &data) -{ - for(const auto &uk : available_kernels) - { - if(uk.is_selected(data)) - { - return &uk; - } - } - return nullptr; -} - -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, - const ITensorInfo *offsets, ITensorInfo *output, const ScaleKernelInfo &info) -{ - const auto *uk = get_implementation(ScaleSelectorData{ input->data_type() }); - ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); - - 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 = info.data_layout == DataLayout::UNKNOWN ? input->data_layout() : info.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), _data_layout(DataLayout::UNKNOWN) -{ -} - -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 - _data_layout = info.data_layout == DataLayout::UNKNOWN ? input->info()->data_layout() : 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 - _policy = (_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(); - } - - // Configure scale function to run - if(_data_layout == DataLayout::NCHW) - { - std::string function_to_call("scale_"); - function_to_call += string_from_data_type(_input->info()->data_type()) + "_"; - function_to_call += string_from_data_layout(_data_layout) + "_"; - function_to_call += string_from_interpolation_policy(_policy); - - static std::map map_function = - { - { "scale_U8_NCHW_AREA_CONSTANT", &NEScaleKernel::scale_area_nchw_u8 }, - - { "scale_U8_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw }, - { "scale_U8_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw }, - - { "scale_QASYMM8_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_qasymm }, - { "scale_QASYMM8_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw }, - - { "scale_QASYMM8_SIGNED_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_qasymm }, - { "scale_QASYMM8_SIGNED_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw }, - - { "scale_S16_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw }, - { "scale_S16_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw }, - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - { "scale_F16_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw }, - { "scale_F16_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw }, -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - - { "scale_F32_NCHW_BILINEAR", &NEScaleKernel::scale_bilinear_nchw }, - { "scale_F32_NCHW_NEAREST_NEIGHBOUR", &NEScaleKernel::scale_nearest_nchw }, - }; - 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()); - INEKernel::configure(win); -} - -template -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(offsets.ptr()); - const auto in_yi = static_cast(_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(out.ptr()) = *(reinterpret_cast(in.ptr()) + offsets_ptr[0] + offset_row); - }, - in, offsets, out); -} - -template -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::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(_constant_border_value.get()); - 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(offsets.ptr())); - const auto dx_val = *(reinterpret_cast(dx.ptr())); - const auto dy_val = *(reinterpret_cast(dy.ptr())); - const auto pixel_row_ptr = reinterpret_cast(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(out.ptr()) = static_cast(scale_helpers::delta_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(offsets.ptr())); - const auto dx_val = *(reinterpret_cast(dx.ptr())); - const auto dy_val = *(reinterpret_cast(dy.ptr())); - const auto pixel_row_ptr = reinterpret_cast(in.ptr()); - - auto clamped_x = utility::clamp(index_w, 0, in_dim_w - 1); - auto clamped_x1 = utility::clamp(index_w + 1, 0, in_dim_w - 1); - auto clamped_y = utility::clamp(index_h, 0, in_dim_h - 1); - auto clamped_y1 = utility::clamp(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(out.ptr()) = static_cast(scale_helpers::delta_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(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 -void NEScaleKernel::scale_bilinear_qasymm(const Window &window) -{ - // Get data layout and width/height indices - 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::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(_constant_border_value.get()); - 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(_offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dx_val = *(reinterpret_cast(_dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dy_val = *(reinterpret_cast(_dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto pixel_row_ptr = reinterpret_cast(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::dequantize(a00, iq_info); - const float inp01 = Qasymm8QuantizationHelper::dequantize(a01, iq_info); - const float inp10 = Qasymm8QuantizationHelper::dequantize(a10, iq_info); - const float inp11 = Qasymm8QuantizationHelper::dequantize(a11, iq_info); - *reinterpret_cast(out.ptr()) = Qasymm8QuantizationHelper::quantize(scale_helpers::delta_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(_offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dx_val = *(reinterpret_cast(_dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto dy_val = *(reinterpret_cast(_dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); - const auto pixel_row_ptr = reinterpret_cast(in.ptr()); - - auto clamped_w = utility::clamp(index_w, 0, in_dim_w - 1); - auto clamped_w1 = utility::clamp(index_w + 1, 0, in_dim_w - 1); - auto clamped_h = utility::clamp(index_h, 0, in_dim_h - 1); - auto clamped_h1 = utility::clamp(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::dequantize(a00, iq_info); - const float inp01 = Qasymm8QuantizationHelper::dequantize(a01, iq_info); - const float inp10 = Qasymm8QuantizationHelper::dequantize(a10, iq_info); - const float inp11 = Qasymm8QuantizationHelper::dequantize(a11, iq_info); - *reinterpret_cast(out.ptr()) = Qasymm8QuantizationHelper::quantize(scale_helpers::delta_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 && _data_layout == DataLayout::NCHW); - - if(_data_layout == DataLayout::NCHW) - { - (this->*_func)(window); - } - else - { - const auto *uk = get_implementation(ScaleSelectorData{ _input->info()->data_type() }); - uk->ukernel(_input, _output, _offsets, _dx, _dy, _policy, _border_mode, _constant_border_value, _sampling_offset, _align_corners, window); - } -} -} // namespace arm_compute -- cgit v1.2.1