diff options
author | Manuel Bottini <manuel.bottini@arm.com> | 2021-02-19 18:16:44 +0000 |
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committer | Sheri Zhang <sheri.zhang@arm.com> | 2021-03-16 11:11:04 +0000 |
commit | 10b3826723e1e2f62a4e635801128ddf4438e50c (patch) | |
tree | a4e187c2b82f0d5ca4e93ae70babfbfd45d087b2 /src/core/cpu | |
parent | 42bd26560daa799dbb825a7c6aade61c7ca132a2 (diff) | |
download | ComputeLibrary-10b3826723e1e2f62a4e635801128ddf4438e50c.tar.gz |
Port Arm(R) Neon(TM) Scale to new API
Partially resolves: COMPMID-4190
Change-Id: I0c1e32ff6176775c9b7bf547899a791fd318ba0a
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5192
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Diffstat (limited to 'src/core/cpu')
-rw-r--r-- | src/core/cpu/kernels/CpuScaleKernel.cpp | 618 | ||||
-rw-r--r-- | src/core/cpu/kernels/CpuScaleKernel.h | 111 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/neon/fp16.cpp | 174 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/neon/integer.cpp | 293 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/neon/list.h | 185 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/neon/qasymm8.cpp | 145 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/neon/qasymm8_signed.cpp | 145 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/sve/fp16.cpp | 176 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/sve/fp32.cpp | 174 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/sve/integer.cpp | 301 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/sve/list.h | 47 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/sve/qasymm8.cpp | 209 | ||||
-rw-r--r-- | src/core/cpu/kernels/scale/sve/qasymm8_signed.cpp | 209 |
13 files changed, 2787 insertions, 0 deletions
diff --git a/src/core/cpu/kernels/CpuScaleKernel.cpp b/src/core/cpu/kernels/CpuScaleKernel.cpp new file mode 100644 index 0000000000..22d1332a55 --- /dev/null +++ b/src/core/cpu/kernels/CpuScaleKernel.cpp @@ -0,0 +1,618 @@ +/* + * 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/cpu/kernels/CpuScaleKernel.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Window.h" +#include "arm_compute/core/utils/misc/Utility.h" +#include "src/core/AccessWindowStatic.h" +#include "src/core/CPP/Validate.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/common/Registrars.h" +#include "src/core/cpu/kernels/scale/neon/list.h" +#include "src/core/cpu/kernels/scale/sve/list.h" +#include "src/core/helpers/AutoConfiguration.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/helpers/WindowHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <arm_neon.h> +#include <map> + +namespace arm_compute +{ +namespace cpu +{ +namespace kernels +{ +namespace +{ +struct ScaleSelectorData +{ + DataType dt; +}; +using ScaleSelectorPtr = std::add_pointer<bool(const ScaleSelectorData &data)>::type; +using ScaleKernelPtr = std::add_pointer<void(const ITensor *, ITensor *, const ITensor *, const ITensor *, const ITensor *, + InterpolationPolicy, BorderMode, PixelValue, float, bool, const Window &)>::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<float16_t>) + }, +#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<float>) + }, + { + "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<uint8_t>) + }, + { + "common_neon_scale", + [](const ScaleSelectorData & data) { return data.dt == DataType::S16; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::common_neon_scale<int16_t>) + }, +#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 *src, const ITensorInfo *dx, const ITensorInfo *dy, + const ITensorInfo *offsets, ITensorInfo *dst, const ScaleKernelInfo &info) +{ + const auto *uk = get_implementation(ScaleSelectorData{ src->data_type() }); + ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); + + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); + ARM_COMPUTE_RETURN_ERROR_ON(dst == src); + 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 ? src->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 = dst->dimension(width_index); + const auto output_height = dst->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(src, 1, DataType::U8); + } + + return Status{}; +} +} // namespace + +CpuScaleKernel::CpuScaleKernel() + : _func(nullptr), _policy(), _border_mode(), _constant_border_value(PixelValue()), _sampling_offset(0), _align_corners(false), _data_layout(DataLayout::UNKNOWN) +{ +} + +void CpuScaleKernel::configure(const ITensorInfo *src, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, + ITensorInfo *dst, const ScaleKernelInfo &info) +{ + ARM_COMPUTE_UNUSED(dx, dy, offsets); + ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); + // Perform validation step + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, + dx, + dy, + offsets, + dst, + info)); + + // Get data layout and width/height indices + _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); + + _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(src->dimension(idx_width), dst->dimension(idx_width), _align_corners); + const auto hr = scale_utils::calculate_resize_ratio(src->dimension(idx_height), dst->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(); + } + +#ifdef ENABLE_NCHW_KERNELS + // Configure scale function to run + if(_data_layout == DataLayout::NCHW) + { + std::string function_to_call("scale_"); + function_to_call += string_from_data_type(src->data_type()) + "_"; + function_to_call += string_from_data_layout(_data_layout) + "_"; + function_to_call += string_from_interpolation_policy(_policy); + + static std::map<std::string, ScaleFunctionPtr> map_function = + { + { "scale_U8_NCHW_AREA_CONSTANT", &CpuScaleKernel::scale_area_nchw_u8 }, + + { "scale_U8_NCHW_BILINEAR", &CpuScaleKernel::scale_bilinear_nchw<uint8_t> }, + { "scale_U8_NCHW_NEAREST_NEIGHBOUR", &CpuScaleKernel::scale_nearest_nchw<uint8_t> }, + + { "scale_QASYMM8_NCHW_BILINEAR", &CpuScaleKernel::scale_bilinear_qasymm<uint8_t> }, + { "scale_QASYMM8_NCHW_NEAREST_NEIGHBOUR", &CpuScaleKernel::scale_nearest_nchw<uint8_t> }, + + { "scale_QASYMM8_SIGNED_NCHW_BILINEAR", &CpuScaleKernel::scale_bilinear_qasymm<int8_t> }, + { "scale_QASYMM8_SIGNED_NCHW_NEAREST_NEIGHBOUR", &CpuScaleKernel::scale_nearest_nchw<int8_t> }, + + { "scale_S16_NCHW_BILINEAR", &CpuScaleKernel::scale_bilinear_nchw<int16_t> }, + { "scale_S16_NCHW_NEAREST_NEIGHBOUR", &CpuScaleKernel::scale_nearest_nchw<int16_t> }, + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + { "scale_F16_NCHW_BILINEAR", &CpuScaleKernel::scale_bilinear_nchw<float16_t> }, + { "scale_F16_NCHW_NEAREST_NEIGHBOUR", &CpuScaleKernel::scale_nearest_nchw<float16_t> }, +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + + { "scale_F32_NCHW_BILINEAR", &CpuScaleKernel::scale_bilinear_nchw<float> }, + { "scale_F32_NCHW_NEAREST_NEIGHBOUR", &CpuScaleKernel::scale_nearest_nchw<float> }, + }; + auto it = map_function.find(function_to_call); + if(it != map_function.end()) + { + _func = it->second; + } + } +#endif // ENABLE_NCHW_KERNELS + + // Configure window + Window win = calculate_max_window(*dst, Steps()); + ICpuKernel::configure(win); +} + +#ifdef ENABLE_NCHW_KERNELS +template <typename T> +void CpuScaleKernel::scale_nearest_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window) +{ + ARM_COMPUTE_UNUSED(dx, dy); + const size_t in_stride_x = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(1), dst->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 src_i(src, win_in); + Iterator dst_i(dst, window); + Iterator offsets_i(offsets, win_off); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offsets_ptr = reinterpret_cast<const int32_t *>(offsets_i.ptr()); + const auto in_yi = static_cast<int32_t>(_align_corners ? utils::rounding::round_half_away_from_zero((id.y() + _sampling_offset) * hr) : std::floor(( + id.y() + _sampling_offset) + * hr)); + const int32_t offset_row = in_yi * in_stride_x; + *reinterpret_cast<T *>(dst_i.ptr()) = *(reinterpret_cast<const T *>(src_i.ptr()) + offsets_ptr[0] + offset_row); + }, + src_i, offsets_i, dst_i); +} + +template <typename T> +void CpuScaleKernel::scale_bilinear_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(1), dst->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 src_i(src, win_in); + Iterator dst_i(dst, window); + Iterator offsets_i(offsets, win_off); + Iterator dx_i(dx, win_off); + Iterator dy_i(dy, win_off); + + const int32_t in_dim_w = src->info()->dimension(0); + const int32_t in_dim_h = src->info()->dimension(1); + const int32_t in_stride_w = in_dim_w + src->info()->padding().left + src->info()->padding().right; + + if(_border_mode == BorderMode::CONSTANT) + { +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + using ConstType = typename std::conditional<std::is_same<T, float16_t>::value, half, T>::type; +#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + using ConstType = T; +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + const T const_border_value = static_cast<T>(_constant_border_value.get<ConstType>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const int32_t index_h = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); + const auto index_w = *(reinterpret_cast<const int32_t *>(offsets_i.ptr())); + const auto dx_val = *(reinterpret_cast<const float *>(dx_i.ptr())); + const auto dy_val = *(reinterpret_cast<const float *>(dy_i.ptr())); + const auto pixel_row_ptr = reinterpret_cast<const T *>(src_i.ptr()); + + const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? (*(pixel_row_ptr + index_w + index_h * in_stride_w)) : const_border_value; + const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? (*(pixel_row_ptr + index_w + 1 + index_h * in_stride_w)) : const_border_value; + const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h + && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + index_w + index_h * in_stride_w + in_stride_w)) : + const_border_value; + const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h + && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + index_w + 1 + index_h * in_stride_w + in_stride_w)) : + const_border_value; + + *reinterpret_cast<T *>(dst_i.ptr()) = static_cast<T>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + src_i, offsets_i, dx_i, dy_i, dst_i); + } + else if(_border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const int index_h = std::floor((id.y() + _sampling_offset) * hr - _sampling_offset); + const auto index_w = *(reinterpret_cast<const int32_t *>(offsets_i.ptr())); + const auto dx_val = *(reinterpret_cast<const float *>(dx_i.ptr())); + const auto dy_val = *(reinterpret_cast<const float *>(dy_i.ptr())); + const auto pixel_row_ptr = reinterpret_cast<const T *>(src_i.ptr()); + + auto clamped_x = utility::clamp<int>(index_w, 0, in_dim_w - 1); + auto clamped_x1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); + auto clamped_y = utility::clamp<int>(index_h, 0, in_dim_h - 1); + auto clamped_y1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); + + const auto a00 = *(pixel_row_ptr + clamped_x + clamped_y * in_stride_w); + const auto a01 = *(pixel_row_ptr + clamped_x1 + clamped_y * in_stride_w); + const auto a10 = *(pixel_row_ptr + clamped_x + clamped_y1 * in_stride_w); + const auto a11 = *(pixel_row_ptr + clamped_x1 + clamped_y1 * in_stride_w); + + *reinterpret_cast<T *>(dst_i.ptr()) = static_cast<T>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + src_i, offsets_i, dx_i, dy_i, dst_i); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} + +void CpuScaleKernel::scale_area_nchw_u8(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window) +{ + ARM_COMPUTE_UNUSED(dx, dy, offsets); + using namespace scale_helpers; + + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 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 src_i(src, win_in); + Iterator dst_i(dst, window); + + const auto wr = scale_utils::calculate_resize_ratio(src->info()->dimension(0), dst->info()->dimension(0), _align_corners); + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(1), dst->info()->dimension(1), _align_corners); + const auto w = src->info()->dimension(0); + const auto h = src->info()->dimension(1); + const size_t in_stride = src->info()->strides_in_bytes()[1]; + + execute_window_loop(window, [&](const Coordinates & id) + { + const auto in_ptr = reinterpret_cast<const uint8_t *>(src_i.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(dst_i.ptr(), vcombine_u8(tmp0, tmp1)); + }, + src_i, dst_i); +} + +template <typename T> +void CpuScaleKernel::scale_bilinear_qasymm(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, 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(src->info()->dimension(idx_height), dst->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 src_i(src, win_in); + Iterator dst_i(dst, window); + + const int32_t in_dim_w = src->info()->dimension(idx_width); + const int32_t in_dim_h = src->info()->dimension(idx_height); + const int32_t stride_w = src->info()->strides_in_bytes()[idx_width]; + const int32_t stride_h = src->info()->strides_in_bytes()[idx_height]; + + const UniformQuantizationInfo iq_info = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + if(_border_mode == BorderMode::CONSTANT) + { +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + using ConstType = typename std::conditional<std::is_same<T, float16_t>::value, half, T>::type; +#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + using ConstType = T; +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + const T const_border_value = static_cast<T>(_constant_border_value.get<ConstType>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const int32_t index_h = std::floor((id[idx_height] + _sampling_offset) * hr - _sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto pixel_row_ptr = reinterpret_cast<const T *>(src_i.ptr()); + + const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + index_w * stride_w + index_h * stride_h)) : + const_border_value; + const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + index_h * stride_h)) : + const_border_value; + const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + index_w * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + + const float inp00 = Qasymm8QuantizationHelper<T>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<T>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<T>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<T>::dequantize(a11, iq_info); + *reinterpret_cast<T *>(dst_i.ptr()) = Qasymm8QuantizationHelper<T>::quantize(scale_helpers::delta_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); + }, + src_i, dst_i); + } + else if(_border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const int index_h = std::floor((id[idx_height] + _sampling_offset) * hr - _sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto pixel_row_ptr = reinterpret_cast<const T *>(src_i.ptr()); + + auto clamped_w = utility::clamp<int>(index_w, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(index_h, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); + + const auto a00 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h * stride_h); + const auto a01 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h * stride_h); + const auto a10 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h1 * stride_h); + const auto a11 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h1 * stride_h); + + const float inp00 = Qasymm8QuantizationHelper<T>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<T>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<T>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<T>::dequantize(a11, iq_info); + *reinterpret_cast<T *>(dst_i.ptr()) = Qasymm8QuantizationHelper<T>::quantize(scale_helpers::delta_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); + }, + src_i, dst_i); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +#endif // ENABLE_NCHW_KERNELS + +Status CpuScaleKernel::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 CpuScaleKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window); + ARM_COMPUTE_ERROR_ON(_func == nullptr && _data_layout == DataLayout::NCHW); + + const auto src = tensors.get_const_tensor(TensorType::ACL_SRC); + auto dst = tensors.get_tensor(TensorType::ACL_DST); + const auto dx = tensors.get_const_tensor(TensorType::ACL_INT_0); + const auto dy = tensors.get_const_tensor(TensorType::ACL_INT_1); + const auto offsets = tensors.get_const_tensor(TensorType::ACL_INT_2); + + if(_data_layout == DataLayout::NCHW) + { + (this->*_func)(src, dst, dx, dy, offsets, window); + } + else + { + const auto *uk = get_implementation(ScaleSelectorData{ src->info()->data_type() }); + uk->ukernel(src, dst, offsets, dx, dy, _policy, _border_mode, _constant_border_value, _sampling_offset, _align_corners, window); + } +} + +const char *CpuScaleKernel::name() const +{ + return "CpuScaleKernel"; +} +} // namespace kernels +} // namespace cpu +} // namespace arm_compute diff --git a/src/core/cpu/kernels/CpuScaleKernel.h b/src/core/cpu/kernels/CpuScaleKernel.h new file mode 100644 index 0000000000..c1de8e0736 --- /dev/null +++ b/src/core/cpu/kernels/CpuScaleKernel.h @@ -0,0 +1,111 @@ +/* + * 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. + */ +#ifndef ARM_COMPUTE_CPU_SCALEKERNEL_H +#define ARM_COMPUTE_CPU_SCALEKERNEL_H + +#include "arm_compute/core/KernelDescriptors.h" +#include "src/core/common/Macros.h" +#include "src/core/cpu/ICpuKernel.h" + +namespace arm_compute +{ +namespace cpu +{ +namespace kernels +{ +/** Arm(R) Neon(TM) kernel to perform scaling on a tensor */ +class CpuScaleKernel : public ICpuKernel +{ +public: + /** Default constructor */ + CpuScaleKernel(); + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuScaleKernel); + /** Initialise the kernel's inputs, output and interpolation policy + * + * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor + * @note Using @p policy Area only supports data layout NCHW and input data type U8. + * + * @param[in] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. + * @param[in] dx Distance x tensor info. Pixel's distance between the X real coordinate and the smallest X following integer. Data type supported: F32 + * @param[in] dy Distance y tensor info. Pixel's distance between the Y real coordinate and the smallest Y following integer. Data type supported: F32 + * @param[in] offsets Offset tensor info. Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32. + * @param[out] dst Destination tensor info. Data types supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] info @ref ScaleKernelInfo to use for configuration + */ + void configure(const ITensorInfo *src, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, ITensorInfo *dst, + const ScaleKernelInfo &info); + /** Static function to check if given info will lead to a valid configuration of @ref CpuScaleKernel + * + * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor + * @note Using @p policy Area only supports data layout NCHW and input data type U8. + * + * @param[in] src Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. + * @param[in] dx Distance x tensor info. Pixel's distance between the X real coordinate and the smallest X following integer. Data type supported: F32 + * @param[in] dy Distance y tensor info. Pixel's distance between the Y real coordinate and the smallest Y following integer. Data type supported: F32 + * @param[in] offsets Offset tensor info. Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32. + * @param[in] dst Destination tensor info. Data types supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] info @ref ScaleKernelInfo to use for validation + */ + static Status validate(const ITensorInfo *src, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, ITensorInfo *dst, + const ScaleKernelInfo &info); + + // Inherited methods overridden: + void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; + const char *name() const override; + +private: +#ifdef ENABLE_NCHW_KERNELS + /** function to perform scale using area interpolation on the given window + * + * @note Used only in case down-sampling. + */ + void scale_area_nchw_u8(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); + + /** function to perform scale using bilinear interpolation on the given window */ + template <typename T> + void scale_bilinear_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); + /** function to perform scale using bilinear interpolation on the given window */ + template <typename T> + void scale_bilinear_qasymm(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); + + /** function to perform scale using nearest neighbour on the given window */ + template <typename T> + void scale_nearest_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); +#endif // ENABLE_NCHW_KERNELS + + /** Scale function to use for the particular function to use */ + using ScaleFunctionPtr = void (CpuScaleKernel::*)(const ITensor *, ITensor *, const ITensor *, const ITensor *, const ITensor *, const Window &window); + + ScaleFunctionPtr _func; + InterpolationPolicy _policy; + BorderMode _border_mode; + PixelValue _constant_border_value; + float _sampling_offset; + bool _align_corners; + DataLayout _data_layout; +}; +} // namespace kernels +} // namespace cpu +} // namespace arm_compute +#endif /*ARM_COMPUTE_CPU_SCALEKERNEL_H */ diff --git a/src/core/cpu/kernels/scale/neon/fp16.cpp b/src/core/cpu/kernels/scale/neon/fp16.cpp new file mode 100644 index 0000000000..0ad66cab1c --- /dev/null +++ b/src/core/cpu/kernels/scale/neon/fp16.cpp @@ -0,0 +1,174 @@ +/* + * 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <arm_neon.h> +#include <cmath> +#include <cstddef> + +#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) + +namespace arm_compute +{ +namespace +{ +void fp16_neon_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + const int window_step_x = 8; + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + int32_t x = window_start_x; + const float16_t *in_ptr = reinterpret_cast<const float16_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + + for(; x <= window_end_x - window_step_x; x += window_step_x) + { + wrapper::vstore(reinterpret_cast<float16_t *>(out.ptr()) + x, + wrapper::vloadq(in_ptr + offset + offset_row + x)); + } + for(; x < window_end_x; ++x) + { + *(reinterpret_cast<float16_t *>(out.ptr()) + x) = *(in_ptr + offset + offset_row + x); + } + }, + out); +} + +void fp16_neon_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { + using ConstType = typename std::conditional<std::is_same<float16_t, float16_t>::value, half, float16_t>::type; + + const float16_t const_border_value = static_cast<float16_t>(constant_border_value.get<ConstType>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const float16_t *in_ptr = reinterpret_cast<const float16_t *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<float16_t *>(out.ptr()) = static_cast<float16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<float16_t *>(out.ptr()) = static_cast<float16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void fp16_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + fp16_neon_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + fp16_neon_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/neon/integer.cpp b/src/core/cpu/kernels/scale/neon/integer.cpp new file mode 100644 index 0000000000..a2359aac94 --- /dev/null +++ b/src/core/cpu/kernels/scale/neon/integer.cpp @@ -0,0 +1,293 @@ +/* + * 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <arm_neon.h> +#include <cmath> +#include <cstddef> + +namespace arm_compute +{ +namespace +{ +void u8_neon_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + const int window_step_x = 16; + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + int32_t x = window_start_x; + const uint8_t *in_ptr = reinterpret_cast<const uint8_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + + for(; x <= window_end_x - window_step_x; x += window_step_x) + { + wrapper::vstore(reinterpret_cast<uint8_t *>(out.ptr()) + x, + wrapper::vloadq(in_ptr + offset + offset_row + x)); + } + for(; x < window_end_x; ++x) + { + *(reinterpret_cast<uint8_t *>(out.ptr()) + x) = *(in_ptr + offset + offset_row + x); + } + }, + out); +} + +void u8_neon_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { + const uint8_t const_border_value = static_cast<uint8_t>(constant_border_value.get<uint8_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const uint8_t *in_ptr = reinterpret_cast<const uint8_t *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<uint8_t *>(out.ptr()) = static_cast<uint8_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<uint8_t *>(out.ptr()) = static_cast<uint8_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} + +void s16_neon_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + const int window_step_x = 8; + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + int32_t x = window_start_x; + const int16_t *in_ptr = reinterpret_cast<const int16_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + + for(; x <= window_end_x - window_step_x; x += window_step_x) + { + wrapper::vstore(reinterpret_cast<int16_t *>(out.ptr()) + x, + wrapper::vloadq(in_ptr + offset + offset_row + x)); + } + for(; x < window_end_x; ++x) + { + *(reinterpret_cast<int16_t *>(out.ptr()) + x) = *(in_ptr + offset + offset_row + x); + } + }, + out); +} + +void s16_neon_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { + const int16_t const_border_value = static_cast<int16_t>(constant_border_value.get<int16_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const int16_t *in_ptr = reinterpret_cast<const int16_t *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<int16_t *>(out.ptr()) = static_cast<int16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<int16_t *>(out.ptr()) = static_cast<int16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void u8_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + u8_neon_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + u8_neon_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} + +void s16_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + s16_neon_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + s16_neon_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/neon/list.h b/src/core/cpu/kernels/scale/neon/list.h new file mode 100644 index 0000000000..c91242f5b2 --- /dev/null +++ b/src/core/cpu/kernels/scale/neon/list.h @@ -0,0 +1,185 @@ +/* + * 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. + */ +#ifndef SRC_CORE_NEON_KERNELS_SCALE_LIST_H +#define SRC_CORE_NEON_KERNELS_SCALE_LIST_H + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +namespace arm_compute +{ +namespace cpu +{ +#define DECLARE_SCALE_KERNEL(func_name) \ + void func_name(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, \ + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, \ + bool align_corners, const Window &window) + +DECLARE_SCALE_KERNEL(qasymm8_neon_scale); +DECLARE_SCALE_KERNEL(qasymm8_signed_neon_scale); + +#undef DECLARE_SCALE_KERNEL + +template <typename T> +void nearest_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, float sampling_offset, + bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + const int window_step_x = 16 / sizeof(T); + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + int32_t x = window_start_x; + const T *in_ptr = reinterpret_cast<const T *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + + for(; x <= window_end_x - window_step_x; x += window_step_x) + { + wrapper::vstore(reinterpret_cast<T *>(out.ptr()) + x, + wrapper::vloadq(in_ptr + offset + offset_row + x)); + } + for(; x < window_end_x; ++x) + { + *(reinterpret_cast<T *>(out.ptr()) + x) = *(in_ptr + offset + offset_row + x); + } + }, + out); +} + +template <typename T> +void bilinear_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + using ConstType = typename std::conditional<std::is_same<T, float16_t>::value, half, T>::type; +#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + using ConstType = T; +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + const T const_border_value = static_cast<T>(constant_border_value.get<ConstType>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const T *in_ptr = reinterpret_cast<const T *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<T *>(out.ptr()) = static_cast<T>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const T *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<T *>(out.ptr()) = static_cast<T>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} + +template <typename T> +void common_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + bilinear_neon_scale<T>(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + nearest_neon_scale<T>(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif /* SRC_CORE_NEON_KERNELS_SCALE_LIST_H */ diff --git a/src/core/cpu/kernels/scale/neon/qasymm8.cpp b/src/core/cpu/kernels/scale/neon/qasymm8.cpp new file mode 100644 index 0000000000..90302ce889 --- /dev/null +++ b/src/core/cpu/kernels/scale/neon/qasymm8.cpp @@ -0,0 +1,145 @@ +/* + * 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/core/cpu/kernels/scale/neon/list.h" + +namespace arm_compute +{ +namespace +{ +void qasymm8_neon_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Data layout is NHWC + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), 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(1, Window::Dimension(0, 0, 0)); + win_in.set(2, 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(src, win_in); + Iterator out(dst, window); + + const int32_t in_dim_w = src->info()->dimension(1); + const int32_t in_dim_h = src->info()->dimension(2); + const int32_t stride_w = src->info()->strides_in_bytes()[1]; + const int32_t stride_h = src->info()->strides_in_bytes()[2]; + + const UniformQuantizationInfo iq_info = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + if(border_mode == BorderMode::CONSTANT) + { + const uint8_t const_border_value = static_cast<uint8_t>(constant_border_value.get<uint8_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const int32_t index_h = std::floor((id[2] + sampling_offset) * hr - sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[1], id[2])))); + const auto pixel_row_ptr = reinterpret_cast<const uint8_t *>(in.ptr()); + + const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + index_w * stride_w + index_h * stride_h)) : + const_border_value; + const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + index_h * stride_h)) : + const_border_value; + const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + index_w * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + + const float inp00 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a11, iq_info); + *reinterpret_cast<uint8_t *>(out.ptr()) = Qasymm8QuantizationHelper<uint8_t>::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[2] + sampling_offset) * hr - sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[1], id[2])))); + const auto pixel_row_ptr = reinterpret_cast<const uint8_t *>(in.ptr()); + + auto clamped_w = utility::clamp<int>(index_w, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(index_h, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); + + const auto a00 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h * stride_h); + const auto a01 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h * stride_h); + const auto a10 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h1 * stride_h); + const auto a11 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h1 * stride_h); + + const float inp00 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a11, iq_info); + *reinterpret_cast<uint8_t *>(out.ptr()) = Qasymm8QuantizationHelper<uint8_t>::quantize(scale_helpers::delta_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void qasymm8_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + qasymm8_neon_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + nearest_neon_scale<uint8_t>(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/neon/qasymm8_signed.cpp b/src/core/cpu/kernels/scale/neon/qasymm8_signed.cpp new file mode 100644 index 0000000000..07d6c6ef03 --- /dev/null +++ b/src/core/cpu/kernels/scale/neon/qasymm8_signed.cpp @@ -0,0 +1,145 @@ +/* + * 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/core/cpu/kernels/scale/neon/list.h" + +namespace arm_compute +{ +namespace +{ +void qasymm8_signed_neon_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Data layout is NHWC + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), 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(1, Window::Dimension(0, 0, 0)); + win_in.set(2, 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(src, win_in); + Iterator out(dst, window); + + const int32_t in_dim_w = src->info()->dimension(1); + const int32_t in_dim_h = src->info()->dimension(2); + const int32_t stride_w = src->info()->strides_in_bytes()[1]; + const int32_t stride_h = src->info()->strides_in_bytes()[2]; + + const UniformQuantizationInfo iq_info = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + if(border_mode == BorderMode::CONSTANT) + { + const int8_t const_border_value = static_cast<int8_t>(constant_border_value.get<int8_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const int32_t index_h = std::floor((id[2] + sampling_offset) * hr - sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[1], id[2])))); + const auto pixel_row_ptr = reinterpret_cast<const int8_t *>(in.ptr()); + + const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + index_w * stride_w + index_h * stride_h)) : + const_border_value; + const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + index_h * stride_h)) : + const_border_value; + const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + index_w * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + + const float inp00 = Qasymm8QuantizationHelper<int8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<int8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<int8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<int8_t>::dequantize(a11, iq_info); + *reinterpret_cast<int8_t *>(out.ptr()) = Qasymm8QuantizationHelper<int8_t>::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[2] + sampling_offset) * hr - sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[1], id[2])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[1], id[2])))); + const auto pixel_row_ptr = reinterpret_cast<const int8_t *>(in.ptr()); + + auto clamped_w = utility::clamp<int>(index_w, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(index_h, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); + + const auto a00 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h * stride_h); + const auto a01 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h * stride_h); + const auto a10 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h1 * stride_h); + const auto a11 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h1 * stride_h); + + const float inp00 = Qasymm8QuantizationHelper<int8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<int8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<int8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<int8_t>::dequantize(a11, iq_info); + *reinterpret_cast<int8_t *>(out.ptr()) = Qasymm8QuantizationHelper<int8_t>::quantize(scale_helpers::delta_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void qasymm8_signed_neon_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + qasymm8_signed_neon_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + nearest_neon_scale<int8_t>(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/sve/fp16.cpp b/src/core/cpu/kernels/scale/sve/fp16.cpp new file mode 100644 index 0000000000..99f08dbdf9 --- /dev/null +++ b/src/core/cpu/kernels/scale/sve/fp16.cpp @@ -0,0 +1,176 @@ +/* + * 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <cmath> +#include <cstddef> + +#if defined(__ARM_FEATURE_SVE) +#include <arm_sve.h> + +namespace arm_compute +{ +namespace +{ +void fp16_sve_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + const auto in_ptr = reinterpret_cast<const float16_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + const auto out_ptr = reinterpret_cast<float16_t *>(out.ptr()); + + // Compute S elements per iteration + int x = window_start_x; + svbool_t pg = svwhilelt_b16(x, window_end_x); + do + { + // Store results + svst1_f16(pg, out_ptr + x, svld1_f16(pg, in_ptr + offset + offset_row + x)); + + x += svcntw(); + pg = svwhilelt_b16(x, window_end_x); + } + while(svptest_any(svptrue_b16(), pg)); + }, + out); +} + +void fp16_sve_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { + using ConstType = typename std::conditional<std::is_same<float16_t, float16_t>::value, half, float16_t>::type; + + const float16_t const_border_value = static_cast<float16_t>(constant_border_value.get<ConstType>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const float16_t *in_ptr = reinterpret_cast<const float16_t *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<float16_t *>(out.ptr()) = static_cast<float16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const float16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<float16_t *>(out.ptr()) = static_cast<float16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void fp16_sve_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + fp16_sve_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + fp16_sve_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif // __ARM_FEATURE_SVE
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/sve/fp32.cpp b/src/core/cpu/kernels/scale/sve/fp32.cpp new file mode 100644 index 0000000000..94055ae953 --- /dev/null +++ b/src/core/cpu/kernels/scale/sve/fp32.cpp @@ -0,0 +1,174 @@ +/* + * 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <cmath> +#include <cstddef> + +#if defined(__ARM_FEATURE_SVE) +#include <arm_sve.h> + +namespace arm_compute +{ +namespace +{ +void fp32_sve_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + const auto in_ptr = reinterpret_cast<const float *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + const auto out_ptr = reinterpret_cast<float *>(out.ptr()); + + // Compute S elements per iteration + int x = window_start_x; + svbool_t pg = svwhilelt_b32(x, window_end_x); + do + { + // Store results + svst1_f32(pg, out_ptr + x, svld1_f32(pg, in_ptr + offset + offset_row + x)); + + x += svcntw(); + pg = svwhilelt_b32(x, window_end_x); + } + while(svptest_any(svptrue_b32(), pg)); + }, + out); +} + +void fp32_sve_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { + const float const_border_value = static_cast<float>(constant_border_value.get<float>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const float *in_ptr = reinterpret_cast<const float *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<float *>(out.ptr()) = static_cast<float>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const float *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const float *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const float *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const float *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<float *>(out.ptr()) = static_cast<float>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void fp32_sve_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + fp32_sve_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + fp32_sve_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif // __ARM_FEATURE_SVE
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/sve/integer.cpp b/src/core/cpu/kernels/scale/sve/integer.cpp new file mode 100644 index 0000000000..2a724ece31 --- /dev/null +++ b/src/core/cpu/kernels/scale/sve/integer.cpp @@ -0,0 +1,301 @@ +/* + * 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <cmath> +#include <cstddef> + +#if defined(__ARM_FEATURE_SVE) +#include <arm_sve.h> + +namespace arm_compute +{ +namespace +{ +void u8_sve_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + const auto in_ptr = reinterpret_cast<const uint8_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + const auto out_ptr = reinterpret_cast<uint8_t *>(out.ptr()); + + // Compute S elements per iteration + int x = window_start_x; + svbool_t pg = svwhilelt_b8(x, window_end_x); + do + { + // Store results + svst1_u8(pg, out_ptr + x, svld1_u8(pg, in_ptr + offset + offset_row + x)); + + x += svcntw(); + pg = svwhilelt_b8(x, window_end_x); + } + while(svptest_any(svptrue_b8(), pg)); + }, + out); +} + +void u8_sve_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { + const uint8_t const_border_value = static_cast<uint8_t>(constant_border_value.get<uint8_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const uint8_t *in_ptr = reinterpret_cast<const uint8_t *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<uint8_t *>(out.ptr()) = static_cast<uint8_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const uint8_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<uint8_t *>(out.ptr()) = static_cast<uint8_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} + +void s16_sve_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + const auto in_ptr = reinterpret_cast<const int16_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + const auto out_ptr = reinterpret_cast<int16_t *>(out.ptr()); + + // Compute S elements per iteration + int x = window_start_x; + svbool_t pg = svwhilelt_b16(x, window_end_x); + do + { + // Store results + svst1_s16(pg, out_ptr + x, svld1_s16(pg, in_ptr + offset + offset_row + x)); + + x += svcntw(); + pg = svwhilelt_b16(x, window_end_x); + } + while(svptest_any(svptrue_b16(), pg)); + }, + out); +} + +void s16_sve_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(2), dst->info()->dimension(2), align_corners); + + Iterator out(dst, window); + const int in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const int in_dim_w = src->info()->dimension(1); + const int in_dim_h = src->info()->dimension(2); + const int in_stride_wc = in_stride_c * (in_dim_w + src->info()->padding().top + src->info()->padding().bottom); + + // Don't increment in Y and Z direction for the input tensor + // A pointer to the start of this plane is needed as base for the precomputed offsets + Window win_in(window); + win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + win_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + Iterator in(src, win_in); + + if(border_mode == BorderMode::CONSTANT) + { + const int16_t const_border_value = static_cast<int16_t>(constant_border_value.get<int16_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int32_t in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + const int16_t *in_ptr = reinterpret_cast<const int16_t *>(in.ptr()) + offset * in_stride_c + in_hi * in_stride_wc; + + const auto a00 = (0 <= offset && offset < in_dim_w && 0 <= in_hi && in_hi < in_dim_h) ? *in_ptr : const_border_value; + const auto a01 = (-1 <= offset && offset < in_dim_w - 1 && 0 <= in_hi && in_hi < in_dim_h) ? *(in_ptr + in_stride_c) : const_border_value; + const auto a10 = (0 <= offset && offset < in_dim_w && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_wc) : const_border_value; + const auto a11 = (-1 <= offset && offset < in_dim_w - 1 && -1 <= in_hi && in_hi < in_dim_h - 1) ? *(in_ptr + in_stride_c + in_stride_wc) : const_border_value; + + *reinterpret_cast<int16_t *>(out.ptr()) = static_cast<int16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else if(border_mode == BorderMode::REPLICATE) + { + execute_window_loop(window, [&](const Coordinates & id) + { + const auto offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dx_val = *reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id.y(), id.z()))); + const auto dy_val = *reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id.y(), id.z()))); + const int in_hi = std::floor((id.z() + sampling_offset) * hr - sampling_offset); + + auto clamped_w = utility::clamp<int>(offset, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(offset + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(in_hi, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(in_hi + 1, 0, in_dim_h - 1); + + const auto a00 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h * in_stride_wc); + const auto a01 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h * in_stride_wc); + const auto a10 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w * in_stride_c + clamped_h1 * in_stride_wc); + const auto a11 = *(reinterpret_cast<const int16_t *>(in.ptr()) + clamped_w1 * in_stride_c + clamped_h1 * in_stride_wc); + + *reinterpret_cast<int16_t *>(out.ptr()) = static_cast<int16_t>(scale_helpers::delta_bilinear(a00, a01, a10, a11, dx_val, dy_val)); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void u8_sve_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + u8_sve_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + u8_sve_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} + +void s16_sve_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + s16_sve_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + s16_sve_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif // __ARM_FEATURE_SVE
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/sve/list.h b/src/core/cpu/kernels/scale/sve/list.h new file mode 100644 index 0000000000..b9c3a10a78 --- /dev/null +++ b/src/core/cpu/kernels/scale/sve/list.h @@ -0,0 +1,47 @@ +/* + * 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. + */ +#ifndef SRC_CORE_SVE_KERNELS_SCALE_LIST_H +#define SRC_CORE_SVE_KERNELS_SCALE_LIST_H + +namespace arm_compute +{ +namespace cpu +{ +#define DECLARE_SCALE_KERNEL(func_name) \ + void func_name(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, \ + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, \ + bool align_corners, const Window &window) + +DECLARE_SCALE_KERNEL(fp16_sve_scale); +DECLARE_SCALE_KERNEL(fp32_sve_scale); +DECLARE_SCALE_KERNEL(s16_sve_scale); +DECLARE_SCALE_KERNEL(u8_sve_scale); +DECLARE_SCALE_KERNEL(qasymm8_sve_scale); +DECLARE_SCALE_KERNEL(qasymm8_signed_sve_scale); + +#undef DECLARE_SCALE_KERNEL +} // namespace cpu +} // namespace arm_compute + +#endif /* SRC_CORE_SVE_KERNELS_SCALE_LIST_H */ diff --git a/src/core/cpu/kernels/scale/sve/qasymm8.cpp b/src/core/cpu/kernels/scale/sve/qasymm8.cpp new file mode 100644 index 0000000000..c475ad615c --- /dev/null +++ b/src/core/cpu/kernels/scale/sve/qasymm8.cpp @@ -0,0 +1,209 @@ +/* + * 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <cmath> +#include <cstddef> + +#if defined(__ARM_FEATURE_SVE) +#include <arm_sve.h> + +namespace arm_compute +{ +namespace +{ +void qasymm8_sve_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + const auto in_ptr = reinterpret_cast<const uint8_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + const auto out_ptr = reinterpret_cast<uint8_t *>(out.ptr()); + + // Compute S elements per iteration + int x = window_start_x; + svbool_t pg = svwhilelt_b8(x, window_end_x); + do + { + // Store results + svst1_u8(pg, out_ptr + x, svld1_u8(pg, in_ptr + offset + offset_row + x)); + + x += svcntw(); + pg = svwhilelt_b8(x, window_end_x); + } + while(svptest_any(svptrue_b8(), pg)); + }, + out); +} + +void qasymm8_sve_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Get data layout and width/height indices + const DataLayout data_layout = src->info()->data_layout(); + const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); + const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(idx_height), dst->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(src, win_in); + Iterator out(dst, window); + + const int32_t in_dim_w = src->info()->dimension(idx_width); + const int32_t in_dim_h = src->info()->dimension(idx_height); + const int32_t stride_w = src->info()->strides_in_bytes()[idx_width]; + const int32_t stride_h = src->info()->strides_in_bytes()[idx_height]; + + const UniformQuantizationInfo iq_info = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + if(border_mode == BorderMode::CONSTANT) + { + const uint8_t const_border_value = static_cast<uint8_t>(constant_border_value.get<uint8_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const int32_t index_h = std::floor((id[idx_height] + sampling_offset) * hr - sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto pixel_row_ptr = reinterpret_cast<const uint8_t *>(in.ptr()); + + const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + index_w * stride_w + index_h * stride_h)) : + const_border_value; + const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + index_h * stride_h)) : + const_border_value; + const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + index_w * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + + const float inp00 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a11, iq_info); + *reinterpret_cast<uint8_t *>(out.ptr()) = Qasymm8QuantizationHelper<uint8_t>::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<const int32_t *>(offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto pixel_row_ptr = reinterpret_cast<const uint8_t *>(in.ptr()); + + auto clamped_w = utility::clamp<int>(index_w, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(index_h, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); + + const auto a00 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h * stride_h); + const auto a01 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h * stride_h); + const auto a10 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h1 * stride_h); + const auto a11 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h1 * stride_h); + + const float inp00 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<uint8_t>::dequantize(a11, iq_info); + *reinterpret_cast<uint8_t *>(out.ptr()) = Qasymm8QuantizationHelper<uint8_t>::quantize(scale_helpers::delta_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void qasymm8_sve_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + qasymm8_sve_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + qasymm8_sve_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif // __ARM_FEATURE_SVE
\ No newline at end of file diff --git a/src/core/cpu/kernels/scale/sve/qasymm8_signed.cpp b/src/core/cpu/kernels/scale/sve/qasymm8_signed.cpp new file mode 100644 index 0000000000..b39b75abba --- /dev/null +++ b/src/core/cpu/kernels/scale/sve/qasymm8_signed.cpp @@ -0,0 +1,209 @@ +/* + * 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Rounding.h" + +#include <cmath> +#include <cstddef> + +#if defined(__ARM_FEATURE_SVE) +#include <arm_sve.h> + +namespace arm_compute +{ +namespace +{ +void qasymm8_signed_sve_scale_nearest(const ITensor *src, ITensor *dst, const ITensor *offsets, + float sampling_offset, bool align_corners, const Window &window) +{ + const size_t in_stride_c = src->info()->dimension(0) + src->info()->padding().left + src->info()->padding().right; + const size_t in_stride_w = src->info()->dimension(1) + src->info()->padding().top + src->info()->padding().bottom; + const size_t in_stride_wc = in_stride_w * in_stride_c; + const size_t in_dim_h = src->info()->dimension(2); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(in_dim_h, dst->info()->dimension(2), align_corners); + const auto window_start_x = static_cast<int32_t>(window.x().start()); + const auto window_end_x = static_cast<int32_t>(window.x().end()); + + Window win(window); + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator out(dst, win); + + const uint8_t *in_ptr_start = src->buffer() + src->info()->offset_first_element_in_bytes(); + const unsigned int in_stride_bytes_hwc = src->info()->strides_in_bytes()[3]; + + execute_window_loop(win, [&](const Coordinates & id) + { + const int32_t offset = *reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id.y(), id.z()))) * in_stride_c; + const auto in_hi = static_cast<int>(align_corners ? utils::rounding::round_half_away_from_zero((id.z() + sampling_offset) * hr) : std::floor((id.z() + sampling_offset) * hr)); + const int offset_row = in_hi * in_stride_wc; + const auto in_ptr = reinterpret_cast<const int8_t *>(in_ptr_start + in_stride_bytes_hwc * id[3]); + const auto out_ptr = reinterpret_cast<int8_t *>(out.ptr()); + + // Compute S elements per iteration + int x = window_start_x; + svbool_t pg = svwhilelt_b8(x, window_end_x); + do + { + // Store results + svst1_s8(pg, out_ptr + x, svld1_s8(pg, in_ptr + offset + offset_row + x)); + + x += svcntw(); + pg = svwhilelt_b8(x, window_end_x); + } + while(svptest_any(svptrue_b8(), pg)); + }, + out); +} + +void qasymm8_signed_sve_scale_bilinear(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + // Get data layout and width/height indices + const DataLayout data_layout = src->info()->data_layout(); + const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); + const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); + + // Compute the ratio between source height and destination height + const auto hr = scale_utils::calculate_resize_ratio(src->info()->dimension(idx_height), dst->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(src, win_in); + Iterator out(dst, window); + + const int32_t in_dim_w = src->info()->dimension(idx_width); + const int32_t in_dim_h = src->info()->dimension(idx_height); + const int32_t stride_w = src->info()->strides_in_bytes()[idx_width]; + const int32_t stride_h = src->info()->strides_in_bytes()[idx_height]; + + const UniformQuantizationInfo iq_info = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + if(border_mode == BorderMode::CONSTANT) + { + const int8_t const_border_value = static_cast<int8_t>(constant_border_value.get<int8_t>()); + execute_window_loop(window, [&](const Coordinates & id) + { + const int32_t index_h = std::floor((id[idx_height] + sampling_offset) * hr - sampling_offset); + const int32_t index_w = *(reinterpret_cast<const int32_t *>(offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto pixel_row_ptr = reinterpret_cast<const int8_t *>(in.ptr()); + + const auto a00 = (0 <= index_w && index_w < in_dim_w && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + index_w * stride_w + index_h * stride_h)) : + const_border_value; + const auto a01 = (-1 <= index_w && index_w < in_dim_w - 1 && 0 <= index_h && index_h < in_dim_h) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + index_h * stride_h)) : + const_border_value; + const auto a10 = (0 <= index_w && index_w < in_dim_w && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + index_w * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + const auto a11 = (-1 <= index_w && index_w < in_dim_w - 1 && -1 <= index_h && index_h < in_dim_h - 1) ? + (*(pixel_row_ptr + (index_w + 1) * stride_w + (index_h + 1) * stride_h)) : + const_border_value; + + const float inp00 = Qasymm8QuantizationHelper<int8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<int8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<int8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<int8_t>::dequantize(a11, iq_info); + *reinterpret_cast<int8_t *>(out.ptr()) = Qasymm8QuantizationHelper<int8_t>::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<const int32_t *>(offsets->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dx_val = *(reinterpret_cast<const float *>(dx->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto dy_val = *(reinterpret_cast<const float *>(dy->ptr_to_element(Coordinates(id[idx_width], id[idx_height])))); + const auto pixel_row_ptr = reinterpret_cast<const int8_t *>(in.ptr()); + + auto clamped_w = utility::clamp<int>(index_w, 0, in_dim_w - 1); + auto clamped_w1 = utility::clamp<int>(index_w + 1, 0, in_dim_w - 1); + auto clamped_h = utility::clamp<int>(index_h, 0, in_dim_h - 1); + auto clamped_h1 = utility::clamp<int>(index_h + 1, 0, in_dim_h - 1); + + const auto a00 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h * stride_h); + const auto a01 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h * stride_h); + const auto a10 = *(pixel_row_ptr + clamped_w * stride_w + clamped_h1 * stride_h); + const auto a11 = *(pixel_row_ptr + clamped_w1 * stride_w + clamped_h1 * stride_h); + + const float inp00 = Qasymm8QuantizationHelper<int8_t>::dequantize(a00, iq_info); + const float inp01 = Qasymm8QuantizationHelper<int8_t>::dequantize(a01, iq_info); + const float inp10 = Qasymm8QuantizationHelper<int8_t>::dequantize(a10, iq_info); + const float inp11 = Qasymm8QuantizationHelper<int8_t>::dequantize(a11, iq_info); + *reinterpret_cast<int8_t *>(out.ptr()) = Qasymm8QuantizationHelper<int8_t>::quantize(scale_helpers::delta_bilinear(inp00, inp01, inp10, inp11, dx_val, dy_val), oq_info); + }, + in, out); + } + else + { + ARM_COMPUTE_ERROR("Not implemented"); + } +} +} +namespace cpu +{ +void qasymm8_signed_sve_scale(const ITensor *src, ITensor *dst, const ITensor *offsets, const ITensor *dx, const ITensor *dy, + InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value, float sampling_offset, + bool align_corners, const Window &window) +{ + if(policy == InterpolationPolicy::BILINEAR) + { + qasymm8_signed_sve_scale_bilinear(src, dst, offsets, dx, dy, border_mode, constant_border_value, sampling_offset, align_corners, window); + } + else if(policy == InterpolationPolicy::NEAREST_NEIGHBOR) + { + qasymm8_signed_sve_scale_nearest(src, dst, offsets, sampling_offset, align_corners, window); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif // __ARM_FEATURE_SVE
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