| /* |
| * Copyright (c) 2016-2019 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/CPP/Validate.h" |
| #include "arm_compute/core/Coordinates.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/wrapper/wrapper.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/Utility.h" |
| |
| #include <arm_neon.h> |
| #include <cstddef> |
| #include <cstdint> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, |
| const ITensorInfo *offsets, ITensorInfo *output, InterpolationPolicy policy, |
| BorderMode border_mode, PixelValue constant_border_value, SamplingPolicy sampling_policy, bool use_padding) |
| { |
| 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); |
| 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(sampling_policy != SamplingPolicy::CENTER && sampling_policy != SamplingPolicy::TOP_LEFT); |
| ARM_COMPUTE_RETURN_ERROR_ON(!use_padding && border_mode != BorderMode::CONSTANT); |
| ARM_COMPUTE_UNUSED(constant_border_value); |
| |
| const DataLayout data_layout = input->data_layout(); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH)) == 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT)) == 0); |
| |
| if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(offsets, 1, DataType::S32); |
| } |
| |
| if(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); |
| } |
| |
| if(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{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window_nchw(ITensorInfo *input, ITensorInfo *dx, ITensorInfo *dy, ITensorInfo *offsets, ITensorInfo *output, |
| InterpolationPolicy policy, bool border_undefined, SamplingPolicy sampling_policy, BorderSize border_size) |
| { |
| bool window_changed{ false }; |
| Window win{}; |
| |
| constexpr unsigned int num_elems_processed_per_iteration = 16; |
| |
| // Configure kernel window |
| win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| |
| const ValidRegion &input_valid_region = input->valid_region(); |
| |
| if(offsets != nullptr) |
| { |
| AccessWindowHorizontal offsets_access(offsets, 0, num_elems_processed_per_iteration); |
| window_changed = window_changed || update_window_and_padding(win, offsets_access); |
| } |
| if(dx != nullptr && dy != nullptr) |
| { |
| AccessWindowHorizontal dx_access(dx, 0, num_elems_processed_per_iteration); |
| AccessWindowHorizontal dy_access(dy, 0, num_elems_processed_per_iteration); |
| window_changed = window_changed || update_window_and_padding(win, dx_access, dy_access); |
| } |
| |
| // Reads can occur within the valid region of the input |
| AccessWindowStatic input_access(input, input_valid_region.anchor[0] - border_size.left, |
| input_valid_region.anchor[1] - border_size.top, |
| input_valid_region.anchor[0] + input_valid_region.shape[0] + border_size.right, |
| input_valid_region.anchor[1] + input_valid_region.shape[1] + border_size.bottom); |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| window_changed = window_changed || update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, calculate_valid_region_scale(*input, output->tensor_shape(), |
| policy, sampling_policy, border_undefined)); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window_nhwc(ITensorInfo *input, ITensorInfo *output, |
| InterpolationPolicy policy, bool border_undefined, |
| SamplingPolicy sampling_policy, BorderSize border_size, bool use_padding) |
| { |
| bool window_changed{ false }; |
| Window win{}; |
| |
| const unsigned int num_elems_processed_per_iteration = (use_padding && policy == InterpolationPolicy::NEAREST_NEIGHBOR) ? 16 / input->element_size() : 1; |
| |
| // Configure kernel window |
| win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| |
| if(use_padding) |
| { |
| AccessWindowStatic input_access(input, 0, -border_size.top, use_padding ? ceil_to_multiple(input->tensor_shape()[0], num_elems_processed_per_iteration) : num_elems_processed_per_iteration, |
| input->tensor_shape()[1]); |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| window_changed = update_window_and_padding(win, input_access, output_access); |
| output->set_valid_region(calculate_valid_region_scale(*input, output->tensor_shape(), policy, sampling_policy, border_undefined)); |
| } |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *dx, ITensorInfo *dy, ITensorInfo *offsets, ITensorInfo *output, |
| InterpolationPolicy policy, bool border_undefined, SamplingPolicy sampling_policy, BorderSize border_size, bool use_padding) |
| { |
| std::pair<Status, Window> win_config; |
| switch(input->data_layout()) |
| { |
| case DataLayout::NCHW: |
| if(!use_padding) |
| { |
| return std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Padding required for NCHW"), Window{}); |
| } |
| win_config = validate_and_configure_window_nchw(input, dx, dy, offsets, output, policy, border_undefined, sampling_policy, border_size); |
| break; |
| case DataLayout::NHWC: |
| win_config = validate_and_configure_window_nhwc(input, output, policy, border_undefined, sampling_policy, border_size, use_padding); |
| break; |
| default: |
| win_config = std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported data layout!"), Window{}); |
| } |
| |
| return win_config; |
| } |
| |
| template <typename T> |
| inline void scale_nearest_nhwc_core(const ITensor *input, const ITensor *offsets, ITensor *output, |
| float hr, Window window, const Window &win_in, size_t stride_w, size_t stride_h, size_t stride_c) |
| { |
| const int window_step_x = 16 / sizeof(T); |
| const auto window_start_x = static_cast<int32_t>(window.x().start()); |
| const auto window_end_x = static_cast<int32_t>(window.x().end()); |
| |
| window.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator in(input, win_in); |
| Iterator out(output, window); |
| |
| const size_t offsets_stride = stride_w / sizeof(T); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); |
| const int in_yi = (id.z() + 0.5f) * hr; |
| const int offset_row = in_yi * stride_h; |
| int32_t x = window_start_x; |
| for(; x < window_end_x - window_step_x; x += window_step_x) |
| { |
| wrapper::vstore(reinterpret_cast<T *>(out.ptr()) + x, |
| wrapper::vloadq(reinterpret_cast<const T *>(in.ptr() + offset * offsets_stride + offset_row + x * stride_c))); |
| } |
| for(; x < window_end_x; ++x) |
| { |
| *(reinterpret_cast<T *>(out.ptr()) + x) = |
| *(reinterpret_cast<const T *>(in.ptr() + offset * offsets_stride + offset_row + x * stride_c)); |
| } |
| }, |
| in, out); |
| } |
| |
| template <typename T, typename ConstType> |
| inline void scale_bilinear_nhwc_core(const ITensor *input, const ITensor *offsets, const ITensor *dx, const ITensor *dy, ITensor *output, |
| float hr, float sampling_offset, Window window, const Window &win_in, size_t stride_w, size_t stride_h, |
| size_t stride_c, BorderMode border_mode, PixelValue constant_border_value, bool use_padding) |
| { |
| Iterator in(input, win_in); |
| Iterator out(output, window); |
| |
| const size_t stride_w_elems = stride_w / sizeof(T); |
| const size_t stride_h_elems = stride_h / sizeof(T); |
| |
| const int input_width = input->info()->dimension(1); |
| const int input_height = input->info()->dimension(2); |
| |
| T border_value; |
| if(use_padding) |
| { |
| border_value = *reinterpret_cast<T *>(input->buffer() + input->info()->offset_first_element_in_bytes() - stride_w); |
| } |
| else |
| { |
| border_value = static_cast<T>(constant_border_value.get<ConstType>()); |
| } |
| |
| auto is_valid = [](int x, int low_x, int high_x, int y, int low_y, int high_y) |
| { |
| return !(x < low_x || x > high_x || y < low_y || y > high_y); |
| }; |
| |
| int border_size = (border_mode == BorderMode::UNDEFINED) ? 0 : 1; |
| |
| const bool is_quantized = (input->info()->data_type() == DataType::QASYMM8); |
| const QuantizationInfo iq_info = input->info()->quantization_info(); |
| const QuantizationInfo oq_info = output->info()->quantization_info(); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const auto offset = (*reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z())))) / static_cast<int>(sizeof(T)); |
| const auto dx_scale = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); |
| const auto dy_scale = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); |
| const int in_yi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); |
| const int offset_row = in_yi * stride_h + id.x() * stride_c; |
| const T *in_ptr = reinterpret_cast<T *>(in.ptr() + offset * stride_w + offset_row); |
| |
| if(is_valid(offset, -border_size, input_width - 1 + border_size, in_yi, -border_size, input_height - 1 + border_size)) |
| { |
| T a00 = 0; |
| T a01 = 0; |
| T a10 = 0; |
| T a11 = 0; |
| |
| if(border_mode == BorderMode::CONSTANT) |
| { |
| a00 = is_valid(offset, 0, input_width - 1, in_yi, 0, input_height - 1) ? *in_ptr : border_value; |
| a01 = is_valid(offset + 1, 0, input_width - 1, in_yi, 0, input_height - 1) ? *(in_ptr + stride_w_elems) : border_value; |
| a10 = is_valid(offset, 0, input_width - 1, in_yi + 1, 0, input_height - 1) ? *(in_ptr + stride_h_elems) : border_value; |
| a11 = is_valid(offset + 1, 0, input_width - 1, in_yi + 1, 0, input_height - 1) ? *(in_ptr + stride_h_elems + stride_w_elems) : border_value; |
| } |
| else if(border_mode == BorderMode::REPLICATE) |
| { |
| auto clamped_x = utility::clamp<int>(offset, 0, input_width - 1); |
| auto clamped_x1 = utility::clamp<int>(offset + 1, 0, input_width - 1); |
| auto clamped_y = utility::clamp<int>(in_yi, 0, input_height - 1); |
| auto clamped_y1 = utility::clamp<int>(in_yi + 1, 0, input_height - 1); |
| |
| a00 = *reinterpret_cast<T *>(in.ptr() + clamped_x * stride_w + clamped_y * stride_h + id.x() * stride_c); |
| a01 = *reinterpret_cast<T *>(in.ptr() + clamped_x1 * stride_w + clamped_y * stride_h + id.x() * stride_c); |
| a10 = *reinterpret_cast<T *>(in.ptr() + clamped_x * stride_w + clamped_y1 * stride_h + id.x() * stride_c); |
| a11 = *reinterpret_cast<T *>(in.ptr() + clamped_x1 * stride_w + clamped_y1 * stride_h + id.x() * stride_c); |
| } |
| else |
| { |
| a00 = is_valid(offset, 0, input_width - 1, in_yi, 0, input_height - 1) ? *in_ptr : 0; |
| a01 = is_valid(offset + 1, 0, input_width - 1, in_yi, 0, input_height - 1) ? *(in_ptr + stride_w_elems) : 0; |
| a10 = is_valid(offset, 0, input_width - 1, in_yi + 1, 0, input_height - 1) ? *(in_ptr + stride_h_elems) : 0; |
| a11 = is_valid(offset + 1, 0, input_width - 1, in_yi + 1, 0, input_height - 1) ? *(in_ptr + stride_h_elems + stride_w_elems) : 0; |
| } |
| |
| // Perform interpolation |
| const float dx1 = 1.0f - dx_scale; |
| const float dy1 = 1.0f - dy_scale; |
| |
| const float w1 = dx1 * dy1; |
| const float w2 = dx_scale * dy1; |
| const float w3 = dx1 * dy_scale; |
| const float w4 = dx_scale * dy_scale; |
| |
| T res = 0; |
| //dequantize quantized input |
| if(is_quantized) |
| { |
| float inp00 = iq_info.dequantize(a00); |
| float inp01 = iq_info.dequantize(a01); |
| float inp10 = iq_info.dequantize(a10); |
| float inp11 = iq_info.dequantize(a11); |
| res = static_cast<T>(oq_info.quantize((inp00 * w1 + inp01 * w2 + inp10 * w3 + inp11 * w4), RoundingPolicy::TO_NEAREST_UP)); |
| } |
| else |
| { |
| res = static_cast<T>(a00 * w1 + a01 * w2 + a10 * w3 + a11 * w4); |
| } |
| // Store result |
| *reinterpret_cast<T *>(out.ptr()) = res; |
| } |
| else |
| { |
| if(border_mode == BorderMode::CONSTANT) |
| { |
| *reinterpret_cast<T *>(out.ptr()) = border_value; |
| } |
| else if(border_mode == BorderMode::REPLICATE) |
| { |
| auto clamped_x = utility::clamp<int>(offset, 0, input_width - 1); |
| auto clamped_y = utility::clamp<int>(in_yi, 0, input_height - 1); |
| *reinterpret_cast<T *>(out.ptr()) = *reinterpret_cast<T *>(in.ptr() + clamped_x * stride_w + clamped_y * stride_h + id.x() * stride_c); |
| } |
| } |
| }, |
| in, out); |
| } |
| } // namespace |
| |
| NEScaleKernel::NEScaleKernel() |
| : _func(nullptr), _offsets(nullptr), _dx(nullptr), _dy(nullptr), _input(nullptr), _output(nullptr), _policy(), _border_size(1), _border_mode(), _constant_border_value(PixelValue()), |
| _sampling_offset(0), _use_padding(true) |
| { |
| } |
| |
| BorderSize NEScaleKernel::border_size() const |
| { |
| return _border_size; |
| } |
| |
| void NEScaleKernel::configure(const ITensor *input, const ITensor *dx, const ITensor *dy, const ITensor *offsets, |
| ITensor *output, InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, SamplingPolicy sampling_policy, |
| bool use_padding) |
| { |
| 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(), |
| policy, border_mode, constant_border_value, sampling_policy, use_padding)); |
| |
| // 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 = policy; |
| _border_size = BorderSize(1); |
| _border_mode = border_mode; |
| _constant_border_value = constant_border_value; |
| _use_padding = use_padding; |
| |
| if(sampling_policy == SamplingPolicy::CENTER) |
| { |
| _sampling_offset = 0.5f; |
| } |
| |
| // Compute the ratio between source width/height and destination width/height |
| const auto wr = static_cast<float>(input->info()->dimension(idx_width)) / static_cast<float>(output->info()->dimension(idx_width)); |
| const auto hr = static_cast<float>(input->info()->dimension(idx_height)) / static_cast<float>(output->info()->dimension(idx_height)); |
| |
| // Add constant border only on top in case of NHWC layout |
| if(data_layout == DataLayout::NHWC) |
| { |
| _border_size = (border_mode == BorderMode::CONSTANT && policy == InterpolationPolicy::BILINEAR && use_padding) ? BorderSize(1, 0, 0, 0) : BorderSize(0); |
| } |
| |
| // Area interpolation behaves as Nearest Neighbour in case of up-sampling |
| if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) |
| { |
| policy = InterpolationPolicy::NEAREST_NEIGHBOR; |
| } |
| |
| // Select interpolation function |
| switch(policy) |
| { |
| case InterpolationPolicy::NEAREST_NEIGHBOR: |
| { |
| _func = (data_layout == DataLayout::NCHW) ? &NEScaleKernel::scale_nearest_nchw : &NEScaleKernel::scale_nhwc; |
| break; |
| } |
| case InterpolationPolicy::BILINEAR: |
| { |
| _func = (data_layout == DataLayout::NCHW) ? &NEScaleKernel::scale_bilinear_nchw : &NEScaleKernel::scale_nhwc; |
| break; |
| } |
| case InterpolationPolicy::AREA: |
| { |
| _func = &NEScaleKernel::scale_area_nchw; |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Unsupported interpolation mode"); |
| } |
| |
| // Configure window |
| std::pair<Status, Window> win_config = validate_and_configure_window(input->info(), |
| dx != nullptr ? dx->info() : nullptr, |
| dy != nullptr ? dy->info() : nullptr, |
| offsets != nullptr ? offsets->info() : nullptr, |
| output->info(), |
| policy, border_mode == BorderMode::UNDEFINED, sampling_policy, border_size(), use_padding); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| INEKernel::configure(win_config.second); |
| } |
| |
| void NEScaleKernel::scale_nearest_nchw(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)); |
| |
| // 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); |
| |
| switch(_input->info()->data_type()) |
| { |
| case DataType::QASYMM8: |
| 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 int in_yi = std::floor((id.y() + 0.5f) * hr); |
| const int in_yi_clamped = std::min(static_cast<int>(_input->info()->dimension(1)), std::max(in_yi, -1)); |
| ARM_COMPUTE_ERROR_ON(in_yi_clamped < -1 || in_yi_clamped > static_cast<int>(_input->info()->dimension(1))); |
| const int offset_row = in_yi_clamped * 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 int in_yi = (id.y() + 0.5f) * hr; |
| const int 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; |
| } |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| { |
| float16x8x2_t tmp = |
| { |
| { |
| vdupq_n_f16(0), |
| vdupq_n_f16(0) |
| } |
| }; |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const auto offsets_ptr = reinterpret_cast<const int32_t *>(offsets.ptr()); |
| |
| const int in_yi = (id.y() + 0.5f) * hr; |
| const int offset_row = in_yi * input_stride; |
| |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[0] + offset_row), tmp.val[0], 0); |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[2] + offset_row), tmp.val[0], 1); |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[4] + offset_row), tmp.val[0], 2); |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[6] + offset_row), tmp.val[0], 3); |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[8] + offset_row), tmp.val[0], 4); |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[10] + offset_row), tmp.val[0], 5); |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[12] + offset_row), tmp.val[0], 6); |
| tmp.val[0] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[14] + offset_row), tmp.val[0], 7); |
| |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[1] + offset_row), tmp.val[1], 0); |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[3] + offset_row), tmp.val[1], 1); |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[5] + offset_row), tmp.val[1], 2); |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[7] + offset_row), tmp.val[1], 3); |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[9] + offset_row), tmp.val[1], 4); |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[11] + offset_row), tmp.val[1], 5); |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[13] + offset_row), tmp.val[1], 6); |
| tmp.val[1] = vsetq_lane_f16(*reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[15] + offset_row), tmp.val[1], 7); |
| |
| vst2q_f16(reinterpret_cast<__fp16 *>(out.ptr()), tmp); |
| }, |
| in, offsets, out); |
| break; |
| } |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| case DataType::F32: |
| { |
| float32x4x4_t tmp = |
| { |
| { |
| vdupq_n_f32(0), |
| vdupq_n_f32(0), |
| vdupq_n_f32(0), |
| vdupq_n_f32(0) |
| } |
| }; |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const auto offsets_ptr = reinterpret_cast<const int32_t *>(offsets.ptr()); |
| |
| const int in_yi = (id.y() + 0.5f) * hr; |
| const int offset_row = in_yi * input_stride; |
| |
| tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[0] + offset_row), tmp.val[0], 0); |
| tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[4] + offset_row), tmp.val[0], 1); |
| tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[8] + offset_row), tmp.val[0], 2); |
| tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[12] + offset_row), tmp.val[0], 3); |
| |
| tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[1] + offset_row), tmp.val[1], 0); |
| tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[5] + offset_row), tmp.val[1], 1); |
| tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[9] + offset_row), tmp.val[1], 2); |
| tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[13] + offset_row), tmp.val[1], 3); |
| |
| tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[2] + offset_row), tmp.val[2], 0); |
| tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[6] + offset_row), tmp.val[2], 1); |
| tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[10] + offset_row), tmp.val[2], 2); |
| tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[14] + offset_row), tmp.val[2], 3); |
| |
| tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[3] + offset_row), tmp.val[3], 0); |
| tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[7] + offset_row), tmp.val[3], 1); |
| tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[11] + offset_row), tmp.val[3], 2); |
| tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[15] + offset_row), tmp.val[3], 3); |
| |
| vst4q_f32(reinterpret_cast<float *>(out.ptr()), tmp); |
| }, |
| in, offsets, out); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Not supported"); |
| break; |
| } |
| } |
| |
| void NEScaleKernel::scale_bilinear_nchw(const Window &window) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(_input, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::F16, DataType::F32); |
| |
| // 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_stide_in_bytes = _input->info()->strides_in_bytes()[1]; |
| const size_t in_stride = in_stide_in_bytes / _input->info()->element_size(); |
| |
| const bool is_quantized = (_input->info()->data_type() == DataType::QASYMM8); |
| const QuantizationInfo iq_info = _input->info()->quantization_info(); |
| const QuantizationInfo oq_info = _output->info()->quantization_info(); |
| |
| switch(_input->info()->data_type()) |
| { |
| case DataType::QASYMM8: |
| case DataType::U8: |
| { |
| 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 int in_yi = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); |
| const int offset_row = in_yi * in_stide_in_bytes; |
| |
| uint8x8_t tmp0 = vdup_n_u8(0); |
| if(is_quantized) |
| { |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[0] + offset_row], in_stride, dx_ptr[0], dy_ptr[0], iq_info, oq_info), tmp0, 0); |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[1] + offset_row], in_stride, dx_ptr[1], dy_ptr[1], iq_info, oq_info), tmp0, 1); |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[2] + offset_row], in_stride, dx_ptr[2], dy_ptr[2], iq_info, oq_info), tmp0, 2); |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[3] + offset_row], in_stride, dx_ptr[3], dy_ptr[3], iq_info, oq_info), tmp0, 3); |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[4] + offset_row], in_stride, dx_ptr[4], dy_ptr[4], iq_info, oq_info), tmp0, 4); |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[5] + offset_row], in_stride, dx_ptr[5], dy_ptr[5], iq_info, oq_info), tmp0, 5); |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[6] + offset_row], in_stride, dx_ptr[6], dy_ptr[6], iq_info, oq_info), tmp0, 6); |
| tmp0 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[7] + offset_row], in_stride, dx_ptr[7], dy_ptr[7], iq_info, oq_info), tmp0, 7); |
| } |
| else |
| { |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[0] + offset_row], in_stride, dx_ptr[0], dy_ptr[0]), tmp0, 0); |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[1] + offset_row], in_stride, dx_ptr[1], dy_ptr[1]), tmp0, 1); |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[2] + offset_row], in_stride, dx_ptr[2], dy_ptr[2]), tmp0, 2); |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[3] + offset_row], in_stride, dx_ptr[3], dy_ptr[3]), tmp0, 3); |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[4] + offset_row], in_stride, dx_ptr[4], dy_ptr[4]), tmp0, 4); |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[5] + offset_row], in_stride, dx_ptr[5], dy_ptr[5]), tmp0, 5); |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[6] + offset_row], in_stride, dx_ptr[6], dy_ptr[6]), tmp0, 6); |
| tmp0 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[7] + offset_row], in_stride, dx_ptr[7], dy_ptr[7]), tmp0, 7); |
| } |
| uint8x8_t tmp1 = vdup_n_u8(0); |
| if(is_quantized) |
| { |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[8] + offset_row], in_stride, dx_ptr[8], dy_ptr[8], iq_info, oq_info), tmp1, 0); |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[9] + offset_row], in_stride, dx_ptr[9], dy_ptr[9], iq_info, oq_info), tmp1, 1); |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[10] + offset_row], in_stride, dx_ptr[10], dy_ptr[10], iq_info, oq_info), tmp1, 2); |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[11] + offset_row], in_stride, dx_ptr[11], dy_ptr[11], iq_info, oq_info), tmp1, 3); |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[12] + offset_row], in_stride, dx_ptr[12], dy_ptr[12], iq_info, oq_info), tmp1, 4); |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[13] + offset_row], in_stride, dx_ptr[13], dy_ptr[13], iq_info, oq_info), tmp1, 5); |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[14] + offset_row], in_stride, dx_ptr[14], dy_ptr[14], iq_info, oq_info), tmp1, 6); |
| tmp1 = vset_lane_u8(delta_bilinear_c1_quantized(&in_ptr[offsets_ptr[15] + offset_row], in_stride, dx_ptr[15], dy_ptr[15], iq_info, oq_info), tmp1, 7); |
| } |
| else |
| { |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[8] + offset_row], in_stride, dx_ptr[8], dy_ptr[8]), tmp1, 0); |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[9] + offset_row], in_stride, dx_ptr[9], dy_ptr[9]), tmp1, 1); |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[10] + offset_row], in_stride, dx_ptr[10], dy_ptr[10]), tmp1, 2); |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[11] + offset_row], in_stride, dx_ptr[11], dy_ptr[11]), tmp1, 3); |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[12] + offset_row], in_stride, dx_ptr[12], dy_ptr[12]), tmp1, 4); |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[13] + offset_row], in_stride, dx_ptr[13], dy_ptr[13]), tmp1, 5); |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&in_ptr[offsets_ptr[14] + offset_row], in_stride, dx_ptr[14], dy_ptr[14]), tmp1, 6); |
| tmp1 = vset_lane_u8(delta_bilinear_c1(&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); |
| break; |
| } |
| case DataType::S16: |
| { |
| 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 int in_yi = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); |
| const int offset_row = in_yi * in_stide_in_bytes; |
| |
| int16x8x2_t tmp = |
| { |
| { |
| vdupq_n_s16(0), |
| vdupq_n_s16(0) |
| } |
| }; |
| |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[0] + offset_row), in_stride, dx_ptr[0], dy_ptr[0]), tmp.val[0], 0); |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[2] + offset_row), in_stride, dx_ptr[2], dy_ptr[2]), tmp.val[0], 1); |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[4] + offset_row), in_stride, dx_ptr[4], dy_ptr[4]), tmp.val[0], 2); |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[6] + offset_row), in_stride, dx_ptr[6], dy_ptr[6]), tmp.val[0], 3); |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[8] + offset_row), in_stride, dx_ptr[8], dy_ptr[8]), tmp.val[0], 4); |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[10] + offset_row), in_stride, dx_ptr[10], dy_ptr[10]), tmp.val[0], 5); |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[12] + offset_row), in_stride, dx_ptr[12], dy_ptr[12]), tmp.val[0], 6); |
| tmp.val[0] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[14] + offset_row), in_stride, dx_ptr[14], dy_ptr[14]), tmp.val[0], 7); |
| |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[1] + offset_row), in_stride, dx_ptr[1], dy_ptr[1]), tmp.val[1], 0); |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[3] + offset_row), in_stride, dx_ptr[3], dy_ptr[3]), tmp.val[1], 1); |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[5] + offset_row), in_stride, dx_ptr[5], dy_ptr[5]), tmp.val[1], 2); |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[7] + offset_row), in_stride, dx_ptr[7], dy_ptr[7]), tmp.val[1], 3); |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[9] + offset_row), in_stride, dx_ptr[9], dy_ptr[9]), tmp.val[1], 4); |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[11] + offset_row), in_stride, dx_ptr[11], dy_ptr[11]), tmp.val[1], 5); |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[13] + offset_row), in_stride, dx_ptr[13], dy_ptr[13]), tmp.val[1], 6); |
| tmp.val[1] = vsetq_lane_s16(delta_bilinear_c1(reinterpret_cast<const int16_t *>(in.ptr() + offsets_ptr[15] + offset_row), in_stride, dx_ptr[15], dy_ptr[15]), tmp.val[1], 7); |
| |
| vst2q_s16(reinterpret_cast<int16_t *>(out.ptr()), tmp); |
| }, |
| in, offsets, dx, dy, out); |
| break; |
| } |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| { |
| 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 int in_yi = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); |
| const int offset_row = in_yi * in_stide_in_bytes; |
| |
| float16x8x2_t tmp = |
| { |
| { |
| vdupq_n_f16(0), |
| vdupq_n_f16(0) |
| } |
| }; |
| |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[0] + offset_row), in_stride, dx_ptr[0], dy_ptr[0]), tmp.val[0], 0); |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[2] + offset_row), in_stride, dx_ptr[2], dy_ptr[2]), tmp.val[0], 1); |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[4] + offset_row), in_stride, dx_ptr[4], dy_ptr[4]), tmp.val[0], 2); |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[6] + offset_row), in_stride, dx_ptr[6], dy_ptr[6]), tmp.val[0], 3); |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[8] + offset_row), in_stride, dx_ptr[8], dy_ptr[8]), tmp.val[0], 4); |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[10] + offset_row), in_stride, dx_ptr[10], dy_ptr[10]), tmp.val[0], 5); |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[12] + offset_row), in_stride, dx_ptr[12], dy_ptr[12]), tmp.val[0], 6); |
| tmp.val[0] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[14] + offset_row), in_stride, dx_ptr[14], dy_ptr[14]), tmp.val[0], 7); |
| |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[1] + offset_row), in_stride, dx_ptr[1], dy_ptr[1]), tmp.val[1], 0); |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[3] + offset_row), in_stride, dx_ptr[3], dy_ptr[3]), tmp.val[1], 1); |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[5] + offset_row), in_stride, dx_ptr[5], dy_ptr[5]), tmp.val[1], 2); |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[7] + offset_row), in_stride, dx_ptr[7], dy_ptr[7]), tmp.val[1], 3); |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[9] + offset_row), in_stride, dx_ptr[9], dy_ptr[9]), tmp.val[1], 4); |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[11] + offset_row), in_stride, dx_ptr[11], dy_ptr[11]), tmp.val[1], 5); |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[13] + offset_row), in_stride, dx_ptr[13], dy_ptr[13]), tmp.val[1], 6); |
| tmp.val[1] = vsetq_lane_f16(delta_bilinear_c1(reinterpret_cast<const __fp16 *>(in.ptr() + offsets_ptr[15] + offset_row), in_stride, dx_ptr[15], dy_ptr[15]), tmp.val[1], 7); |
| |
| vst2q_f16(reinterpret_cast<__fp16 *>(out.ptr()), tmp); |
| }, |
| in, offsets, dx, dy, out); |
| break; |
| } |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| case DataType::F32: |
| { |
| 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 int in_yi = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); |
| const int offset_row = in_yi * in_stide_in_bytes; |
| |
| float32x4x4_t tmp = |
| { |
| { |
| vdupq_n_f32(0), |
| vdupq_n_f32(0), |
| vdupq_n_f32(0), |
| vdupq_n_f32(0) |
| } |
| }; |
| |
| tmp.val[0] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[0] + offset_row), in_stride, dx_ptr[0], dy_ptr[0]), tmp.val[0], 0); |
| tmp.val[0] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[4] + offset_row), in_stride, dx_ptr[4], dy_ptr[4]), tmp.val[0], 1); |
| tmp.val[0] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[8] + offset_row), in_stride, dx_ptr[8], dy_ptr[8]), tmp.val[0], 2); |
| tmp.val[0] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[12] + offset_row), in_stride, dx_ptr[12], dy_ptr[12]), tmp.val[0], 3); |
| |
| tmp.val[1] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[1] + offset_row), in_stride, dx_ptr[1], dy_ptr[1]), tmp.val[1], 0); |
| tmp.val[1] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[5] + offset_row), in_stride, dx_ptr[5], dy_ptr[5]), tmp.val[1], 1); |
| tmp.val[1] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[9] + offset_row), in_stride, dx_ptr[9], dy_ptr[9]), tmp.val[1], 2); |
| tmp.val[1] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[13] + offset_row), in_stride, dx_ptr[13], dy_ptr[13]), tmp.val[1], 3); |
| |
| tmp.val[2] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[2] + offset_row), in_stride, dx_ptr[2], dy_ptr[2]), tmp.val[2], 0); |
| tmp.val[2] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[6] + offset_row), in_stride, dx_ptr[6], dy_ptr[6]), tmp.val[2], 1); |
| tmp.val[2] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[10] + offset_row), in_stride, dx_ptr[10], dy_ptr[10]), tmp.val[2], 2); |
| tmp.val[2] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[14] + offset_row), in_stride, dx_ptr[14], dy_ptr[14]), tmp.val[2], 3); |
| |
| tmp.val[3] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[3] + offset_row), in_stride, dx_ptr[3], dy_ptr[3]), tmp.val[3], 0); |
| tmp.val[3] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[7] + offset_row), in_stride, dx_ptr[7], dy_ptr[7]), tmp.val[3], 1); |
| tmp.val[3] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[11] + offset_row), in_stride, dx_ptr[11], dy_ptr[11]), tmp.val[3], 2); |
| tmp.val[3] = vsetq_lane_f32(delta_bilinear_c1(reinterpret_cast<const float *>(in.ptr() + offsets_ptr[15] + offset_row), in_stride, dx_ptr[15], dy_ptr[15]), tmp.val[3], 3); |
| |
| vst4q_f32(reinterpret_cast<float *>(out.ptr()), tmp); |
| }, |
| in, offsets, dx, dy, out); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Not supported"); |
| break; |
| } |
| } |
| |
| void NEScaleKernel::scale_area_nchw(const Window &window) |
| { |
| 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 = 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::scale_nhwc(const Window &window) |
| { |
| // Get data layout and width/height indices |
| const DataLayout data_layout = _input->info()->data_layout(); |
| const int idx_channels = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); |
| 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); |
| |
| const size_t input_stride_w = _input->info()->strides_in_bytes()[idx_width]; |
| const size_t input_stride_h = _input->info()->strides_in_bytes()[idx_height]; |
| const size_t input_stride_c = _input->info()->strides_in_bytes()[idx_channels]; |
| |
| // Compute the ratio between source height and destination height |
| const auto hr = static_cast<float>(_input->info()->dimension(idx_height)) / static_cast<float>(_output->info()->dimension(idx_height)); |
| |
| // 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)); |
| |
| switch(_input->info()->data_type()) |
| { |
| case DataType::QASYMM8: |
| case DataType::U8: |
| { |
| if(_policy == InterpolationPolicy::NEAREST_NEIGHBOR) |
| { |
| scale_nearest_nhwc_core<uint8_t>(_input, _offsets, _output, hr, window, win_in, input_stride_w, input_stride_h, input_stride_c); |
| } |
| else |
| { |
| scale_bilinear_nhwc_core<uint8_t, uint8_t>(_input, _offsets, _dx, _dy, _output, hr, _sampling_offset, |
| window, win_in, input_stride_w, input_stride_h, input_stride_c, _border_mode, _constant_border_value, _use_padding); |
| } |
| break; |
| } |
| case DataType::S16: |
| { |
| if(_policy == InterpolationPolicy::NEAREST_NEIGHBOR) |
| { |
| scale_nearest_nhwc_core<int16_t>(_input, _offsets, _output, hr, window, win_in, input_stride_w, input_stride_h, input_stride_c); |
| } |
| else |
| { |
| scale_bilinear_nhwc_core<int16_t, int16_t>(_input, _offsets, _dx, _dy, _output, hr, _sampling_offset, |
| window, win_in, input_stride_w, input_stride_h, input_stride_c, _border_mode, _constant_border_value, _use_padding); |
| } |
| break; |
| } |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| { |
| if(_policy == InterpolationPolicy::NEAREST_NEIGHBOR) |
| { |
| scale_nearest_nhwc_core<float16_t>(_input, _offsets, _output, hr, |
| window, win_in, input_stride_w, input_stride_h, input_stride_c); |
| } |
| else |
| { |
| scale_bilinear_nhwc_core<float16_t, half>(_input, _offsets, _dx, _dy, _output, hr, _sampling_offset, |
| window, win_in, input_stride_w, input_stride_h, input_stride_c, _border_mode, _constant_border_value, _use_padding); |
| } |
| break; |
| } |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| case DataType::F32: |
| { |
| if(_policy == InterpolationPolicy::NEAREST_NEIGHBOR) |
| { |
| scale_nearest_nhwc_core<float>(_input, _offsets, _output, hr, window, win_in, input_stride_w, input_stride_h, input_stride_c); |
| } |
| else |
| { |
| scale_bilinear_nhwc_core<float, float>(_input, _offsets, _dx, _dy, _output, hr, _sampling_offset, |
| window, win_in, input_stride_w, input_stride_h, input_stride_c, _border_mode, _constant_border_value, _use_padding); |
| } |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Not supported"); |
| break; |
| } |
| } |
| |
| Status NEScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, |
| const ITensorInfo *offsets, ITensorInfo *output, InterpolationPolicy policy, |
| BorderMode border_mode, PixelValue constant_border_value, SamplingPolicy sampling_policy, bool use_padding) |
| { |
| BorderSize border_size(1); |
| if(input->data_layout() == DataLayout::NHWC) |
| { |
| border_size = (border_mode == BorderMode::CONSTANT && policy == InterpolationPolicy::BILINEAR) ? BorderSize(1, 0, 0, 0) : BorderSize(0); |
| } |
| |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, dx, dy, offsets, output, policy, border_mode, constant_border_value, sampling_policy, use_padding)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), |
| dx != nullptr ? dx->clone().get() : nullptr, |
| dy != nullptr ? dy->clone().get() : nullptr, |
| offsets != nullptr ? offsets->clone().get() : nullptr, |
| output->clone().get(), |
| policy, border_mode == BorderMode::UNDEFINED, sampling_policy, border_size, use_padding) |
| .first); |
| |
| 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 |