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-rw-r--r--src/runtime/cpu/operators/CpuScale.cpp254
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diff --git a/src/runtime/cpu/operators/CpuScale.cpp b/src/runtime/cpu/operators/CpuScale.cpp
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-/*
- * Copyright (c) 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/runtime/cpu/operators/CpuScale.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/runtime/NEON/NEScheduler.h"
-#include "src/core/cpu/kernels/CpuScaleKernel.h"
-#include "src/core/utils/ScaleUtils.h"
-#include "support/Rounding.h"
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace
-{
-void precompute_dx_dy_offsets(ITensor *dx, ITensor *dy, ITensor *offsets, float wr, float hr, SamplingPolicy sampling_policy, bool align_corners)
-{
- ARM_COMPUTE_ERROR_ON(offsets == nullptr);
- float sampling_offset = 0.0f;
- if(sampling_policy == SamplingPolicy::CENTER)
- {
- sampling_offset = 0.5f;
- }
-
- Window win;
- win.set(Window::DimX, Window::Dimension(0, offsets->info()->dimension(0), 1));
- win.set(Window::DimY, Window::Dimension(0, offsets->info()->dimension(1), 1));
-
- if(dx != nullptr && dy != nullptr)
- {
- // Pre-compute the offset and pixel's distance for BILINEAR interpolation
- Iterator offsets_it(offsets, win);
- Iterator dx_it(dx, win);
- Iterator dy_it(dy, win);
-
- execute_window_loop(win, [&](const Coordinates & id)
- {
- const float in_x = (id.x() + sampling_offset) * wr - sampling_offset;
- const float in_y = (id.y() + sampling_offset) * hr - sampling_offset;
- const int in_xi = std::floor(in_x);
- const int in_yi = std::floor(in_y);
-
- *reinterpret_cast<int32_t *>(offsets_it.ptr()) = in_xi;
- *reinterpret_cast<float *>(dx_it.ptr()) = in_x - in_xi;
- *reinterpret_cast<float *>(dy_it.ptr()) = in_y - in_yi;
- },
- offsets_it, dx_it, dy_it);
- }
- else
- {
- // Pre-compute the offset for NEAREST interpolation
- Iterator offsets_it(offsets, win);
-
- execute_window_loop(win, [&](const Coordinates & id)
- {
- const float float_in_xi = (id.x() + sampling_offset) * wr;
- const auto in_xi = static_cast<size_t>(align_corners ? arm_compute::utils::rounding::round_half_away_from_zero(float_in_xi) : std::floor(float_in_xi));
- *reinterpret_cast<int32_t *>(offsets_it.ptr()) = in_xi;
- },
- offsets_it);
- }
-}
-} // namespace
-
-CpuScale::CpuScale()
- : _scale_info(InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED), _data_layout(DataLayout::UNKNOWN), _is_prepared(false)
-{
-}
-
-void CpuScale::configure(ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
- ARM_COMPUTE_ERROR_THROW_ON(CpuScale::validate(src, dst, info));
-
- _scale_info = info;
-
- // Get data layout and width/height indices
- _data_layout = _scale_info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : _scale_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 width/height and destination width/height
- const bool is_align_corners_used = _scale_info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(_scale_info.sampling_policy);
- const auto wr = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_width), dst->dimension(idx_width), is_align_corners_used);
- const auto hr = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_height), dst->dimension(idx_height), is_align_corners_used);
-
- // Area interpolation behaves as Nearest Neighbour in case of up-sampling
- InterpolationPolicy policy_to_use = (_scale_info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f
- && hr <= 1.f) ?
- InterpolationPolicy::NEAREST_NEIGHBOR :
- _scale_info.interpolation_policy;
-
- // Get the tensor shape
- TensorShape shape(dst->dimension(idx_width));
- shape.set(1, dst->dimension(idx_height), false);
-
- TensorInfo tensor_info_offsets(shape, Format::S32);
- TensorInfo tensor_info_dxdy(shape, Format::F32);
-
- auto dx = std::make_unique<TensorInfo>(tensor_info_dxdy);
- auto dy = std::make_unique<TensorInfo>(tensor_info_dxdy);
- auto offsets = std::make_unique<TensorInfo>(tensor_info_offsets);
- auto scale_kernel = std::make_unique<kernels::CpuScaleKernel>();
- switch(policy_to_use)
- {
- case InterpolationPolicy::NEAREST_NEIGHBOR:
- {
- scale_kernel->configure(src, nullptr, nullptr, offsets.get(), dst, info);
- break;
- }
- case InterpolationPolicy::BILINEAR:
- {
- scale_kernel->configure(src, dx.get(), dy.get(), offsets.get(), dst, info);
- break;
- }
- case InterpolationPolicy::AREA:
- {
- scale_kernel->configure(src, nullptr, nullptr, nullptr, dst, info);
- break;
- }
- default:
- ARM_COMPUTE_ERROR("Unsupported interpolation mode");
- }
- _kernel = std::move(scale_kernel);
-}
-
-Status CpuScale::validate(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
- ARM_COMPUTE_RETURN_ERROR_ON(info.sampling_policy != SamplingPolicy::CENTER && info.sampling_policy != SamplingPolicy::TOP_LEFT);
-
- ITensorInfo *offsets = nullptr;
- ITensorInfo *dx = nullptr;
- ITensorInfo *dy = nullptr;
-
- // Get data layout and width/height indices
- const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? src->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);
-
- // Compute the ratio between source width/height and destination width/height
- const bool is_align_corners_used = info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(info.sampling_policy);
- const auto wr = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_width), dst->dimension(idx_width), is_align_corners_used);
- const auto hr = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_height), dst->dimension(idx_height), is_align_corners_used);
-
- // Area interpolation behaves as Nearest Neighbour in case of up-sampling
- InterpolationPolicy policy_to_use = (info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) ? InterpolationPolicy::NEAREST_NEIGHBOR : info.interpolation_policy;
-
- // Get the tensor shape of auxilary buffers
- const TensorShape shape(dst->dimension(idx_width), dst->dimension(idx_height));
- TensorInfo tensor_info_offsets(shape, Format::S32);
- TensorInfo tensor_info_dx(shape, Format::F32);
- TensorInfo tensor_info_dy(shape, Format::F32);
- switch(policy_to_use)
- {
- case InterpolationPolicy::NEAREST_NEIGHBOR:
- offsets = &tensor_info_offsets;
- break;
- case InterpolationPolicy::BILINEAR:
- offsets = &tensor_info_offsets;
- dx = &tensor_info_dx;
- dy = &tensor_info_dy;
- break;
- default:
- break;
- }
-
- ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuScaleKernel::validate(src->clone().get(), dx, dy, offsets, dst->clone().get(), info));
- return Status{};
-}
-
-void CpuScale::prepare(ITensorPack &tensors)
-{
- if(!_is_prepared)
- {
- _is_prepared = true;
- const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
- auto dst = tensors.get_tensor(TensorType::ACL_DST);
- auto dx = tensors.get_tensor(TensorType::ACL_INT_0);
- auto dy = tensors.get_tensor(TensorType::ACL_INT_1);
- auto offsets = tensors.get_tensor(TensorType::ACL_INT_2);
-
- // 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 width/height and destination width/height
- const bool is_align_corners_used = _scale_info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(_scale_info.sampling_policy);
- const auto wr = arm_compute::scale_utils::calculate_resize_ratio(src->info()->dimension(idx_width), dst->info()->dimension(idx_width), is_align_corners_used);
- const auto hr = arm_compute::scale_utils::calculate_resize_ratio(src->info()->dimension(idx_height), dst->info()->dimension(idx_height), is_align_corners_used);
-
- // Area interpolation behaves as Nearest Neighbour in case of up-sampling
- InterpolationPolicy policy_to_use = (_scale_info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f
- && hr <= 1.f) ?
- InterpolationPolicy::NEAREST_NEIGHBOR :
- _scale_info.interpolation_policy;
- const SamplingPolicy sampling_policy = _scale_info.sampling_policy;
-
- switch(policy_to_use)
- {
- case InterpolationPolicy::NEAREST_NEIGHBOR:
- {
- // Pre-compute offsets for nearest interpolation
- precompute_dx_dy_offsets(nullptr, nullptr, offsets, wr, hr, sampling_policy, is_align_corners_used);
- break;
- }
- case InterpolationPolicy::BILINEAR:
- {
- // Pre-compute dx, dy and offsets for bilinear interpolation
- precompute_dx_dy_offsets(dx, dy, offsets, wr, hr, sampling_policy, is_align_corners_used);
- break;
- }
- case InterpolationPolicy::AREA:
- {
- break;
- }
- default:
- ARM_COMPUTE_ERROR("Unsupported interpolation mode");
- }
- }
-}
-
-void CpuScale::run(ITensorPack &tensors)
-{
- ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
- prepare(tensors);
- NEScheduler::get().schedule_op(_kernel.get(), Window::DimY, _kernel->window(), tensors);
-}
-} // namespace cpu
-} // namespace arm_compute