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Diffstat (limited to 'src/cpu/kernels/CpuScaleKernel.cpp')
| -rw-r--r-- | src/cpu/kernels/CpuScaleKernel.cpp | 538 |
1 files changed, 538 insertions, 0 deletions
diff --git a/src/cpu/kernels/CpuScaleKernel.cpp b/src/cpu/kernels/CpuScaleKernel.cpp new file mode 100644 index 0000000000..7cf8916e9b --- /dev/null +++ b/src/cpu/kernels/CpuScaleKernel.cpp @@ -0,0 +1,538 @@ +/* + * Copyright (c) 2016-2023 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/cpu/kernels/CpuScaleKernel.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/utils/InterpolationPolicyUtils.h" +#include "arm_compute/core/Window.h" + +#include "src/core/common/Registrars.h" +#include "src/core/helpers/ScaleHelpers.h" +#include "src/core/helpers/WindowHelpers.h" +#include "src/cpu/kernels/scale/neon/list.h" +#include "src/cpu/kernels/scale/sve/list.h" +#include "support/Rounding.h" + +#include <arm_neon.h> +#include <map> + +namespace arm_compute +{ +namespace cpu +{ + +#ifdef ENABLE_NCHW_KERNELS +void scale_area_nchw_u8(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) +{ + ARM_COMPUTE_UNUSED(dx, dy, offsets, policy, border_mode, constant_border_value, sampling_offset, align_corners); + 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 scale_bilinear_qasymm_nchw(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) +{ + ARM_COMPUTE_UNUSED(policy); + // Get data layout and width/height indices + const int idx_width = get_data_layout_dimension_index(DataLayout::NCHW, DataLayoutDimension::WIDTH); + const int idx_height = get_data_layout_dimension_index(DataLayout::NCHW, 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"); + } +} + +/** 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 *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) +{ + ARM_COMPUTE_UNUSED(policy); + arm_compute::cpu::scale_bilinear_nchw<T>(src, dst, dx, dy, offsets, border_mode, constant_border_value, + sampling_offset, align_corners, window); +} + +template <typename T> +void scale_nearest_nchw(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) +{ + ARM_COMPUTE_UNUSED(policy, border_mode); + arm_compute::cpu::scale_nearest_nchw<T>(src, dst, dx, dy, offsets, constant_border_value, sampling_offset, + align_corners, window); +} + +#endif // ENABLE_NCHW_KERNELS + +namespace kernels +{ +namespace +{ +static const std::vector<CpuScaleKernel::ScaleKernel> available_kernels = { + {"sve_fp16_scale", + [](const ScaleKernelDataTypeISASelectorData &data) + { + return data.dt == DataType::F16 && data.isa.sve && data.isa.fp16 && + data.interpolation_policy != InterpolationPolicy::BILINEAR; + }, + REGISTER_FP16_SVE(arm_compute::cpu::fp16_sve_scale)}, + {"sve_fp32_scale", + [](const ScaleKernelDataTypeISASelectorData &data) + { return data.dt == DataType::F32 && data.isa.sve && data.interpolation_policy != InterpolationPolicy::BILINEAR; }, + REGISTER_FP32_SVE(arm_compute::cpu::fp32_sve_scale)}, + {"sve_qu8_scale", + [](const ScaleKernelDataTypeISASelectorData &data) { + return data.dt == DataType::QASYMM8 && data.isa.sve && + data.interpolation_policy != InterpolationPolicy::BILINEAR; + }, + REGISTER_QASYMM8_SVE(arm_compute::cpu::qasymm8_sve_scale)}, + {"sve_qs8_scale", + [](const ScaleKernelDataTypeISASelectorData &data) + { + return data.dt == DataType::QASYMM8_SIGNED && data.isa.sve && + data.interpolation_policy != InterpolationPolicy::BILINEAR; + }, + REGISTER_QASYMM8_SIGNED_SVE(arm_compute::cpu::qasymm8_signed_sve_scale)}, + {"sve_u8_scale", + [](const ScaleKernelDataTypeISASelectorData &data) + { return data.dt == DataType::U8 && data.isa.sve && data.interpolation_policy != InterpolationPolicy::BILINEAR; }, + REGISTER_INTEGER_SVE(arm_compute::cpu::u8_sve_scale)}, + {"sve_s16_scale", + [](const ScaleKernelDataTypeISASelectorData &data) + { return data.dt == DataType::S16 && data.isa.sve && data.interpolation_policy != InterpolationPolicy::BILINEAR; }, + REGISTER_INTEGER_SVE(arm_compute::cpu::s16_sve_scale)}, + {"neon_fp16_scale", + [](const ScaleKernelDataTypeISASelectorData &data) { return data.dt == DataType::F16 && data.isa.fp16; }, + REGISTER_FP16_NEON(arm_compute::cpu::fp16_common_neon_scale)}, + {"neon_fp32_scale", [](const ScaleKernelDataTypeISASelectorData &data) { return data.dt == DataType::F32; }, + REGISTER_FP32_NEON(arm_compute::cpu::common_neon_scale<float>)}, + {"neon_qu8_scale", [](const ScaleKernelDataTypeISASelectorData &data) { return data.dt == DataType::QASYMM8; }, + REGISTER_QASYMM8_NEON(arm_compute::cpu::qasymm8_neon_scale)}, + {"neon_qs8_scale", + [](const ScaleKernelDataTypeISASelectorData &data) { return data.dt == DataType::QASYMM8_SIGNED; }, + REGISTER_QASYMM8_SIGNED_NEON(arm_compute::cpu::qasymm8_signed_neon_scale)}, + {"neon_u8_scale", [](const ScaleKernelDataTypeISASelectorData &data) { return data.dt == DataType::U8; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::u8_neon_scale)}, + {"neon_s8_scale", [](const ScaleKernelDataTypeISASelectorData &data) { return data.dt == DataType::S8; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::s8_neon_scale)}, + {"neon_s16_scale", [](const ScaleKernelDataTypeISASelectorData &data) { return data.dt == DataType::S16; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::s16_neon_scale)}, +}; + +Status validate_arguments(const ITensorInfo *src, + const ITensorInfo *dx, + const ITensorInfo *dy, + const ITensorInfo *offsets, + ITensorInfo *dst, + const ScaleKernelInfo &info) +{ + const auto *uk = CpuScaleKernel::get_implementation( + ScaleKernelDataTypeISASelectorData{src->data_type(), CPUInfo::get().get_isa(), info.interpolation_policy}); + + 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(src->num_channels() != 1); + 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); + + ARM_COMPUTE_RETURN_ERROR_ON((src->data_type() == DataType::S8) && + (data_layout != DataLayout::NHWC || + info.interpolation_policy != InterpolationPolicy::BILINEAR || + info.border_mode != BorderMode::REPLICATE)); + + if (info.interpolation_policy == InterpolationPolicy::NEAREST_NEIGHBOR && offsets != nullptr) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(offsets, 1, DataType::S32); + } + + if (info.interpolation_policy == InterpolationPolicy::BILINEAR && offsets != nullptr) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(offsets, 1, DataType::S32); + if (dx != nullptr && dy != nullptr) + { + 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 + +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)); + + const auto *uk = CpuScaleKernel::get_implementation( + ScaleKernelDataTypeISASelectorData{src->data_type(), CPUInfo::get().get_isa(), info.interpolation_policy}); + ARM_COMPUTE_ERROR_ON_NULLPTR(uk); + + _run_method = uk->ukernel; + _name = std::string("CpuScaleKernel") + .append("/") + .append(uk->name) + .append("_") + .append(string_from_interpolation_policy(info.interpolation_policy)); + + // 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); + + const static std::map<std::string, ScaleKernelPtr> map_nchw_function = { + {"scale_U8_NCHW_AREA_CONSTANT", &arm_compute::cpu::scale_area_nchw_u8}, + {"scale_U8_NCHW_AREA_CONSTANT", &arm_compute::cpu::scale_area_nchw_u8}, + {"scale_U8_NCHW_BILINEAR", &arm_compute::cpu::scale_bilinear_nchw<uint8_t>}, + {"scale_U8_NCHW_NEAREST_NEIGHBOUR", &arm_compute::cpu::scale_nearest_nchw<uint8_t>}, + {"scale_QASYMM8_NCHW_BILINEAR", &arm_compute::cpu::scale_bilinear_qasymm_nchw<uint8_t>}, + {"scale_QASYMM8_NCHW_NEAREST_NEIGHBOUR", &arm_compute::cpu::scale_nearest_nchw<uint8_t>}, + {"scale_QASYMM8_SIGNED_NCHW_BILINEAR", &arm_compute::cpu::scale_bilinear_qasymm_nchw<int8_t>}, + {"scale_QASYMM8_SIGNED_NCHW_NEAREST_NEIGHBOUR", &arm_compute::cpu::scale_nearest_nchw<int8_t>}, + {"scale_S16_NCHW_BILINEAR", &arm_compute::cpu::scale_bilinear_nchw<int16_t>}, + {"scale_S16_NCHW_NEAREST_NEIGHBOUR", &arm_compute::cpu::scale_nearest_nchw<int16_t>}, + {"scale_F16_NCHW_BILINEAR", REGISTER_FP16_NEON(arm_compute::cpu::fp16_bilinear_neon_scale_nchw)}, + {"scale_F16_NCHW_NEAREST_NEIGHBOUR", REGISTER_FP16_NEON(arm_compute::cpu::fp16_nearest_neon_scale_nchw)}, + {"scale_F32_NCHW_BILINEAR", &arm_compute::cpu::scale_bilinear_nchw<float>}, + {"scale_F32_NCHW_NEAREST_NEIGHBOUR", &arm_compute::cpu::scale_nearest_nchw<float>}, + }; + auto it = map_nchw_function.find(function_to_call); + if (it != map_nchw_function.end()) + { + _nchw_func = it->second; + } + } +#endif // ENABLE_NCHW_KERNELS + + // Configure window + Window win = calculate_max_window(*dst, Steps()); + ICpuKernel::configure(win); +} + +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(_nchw_func == nullptr && _data_layout == DataLayout::NCHW); + ARM_COMPUTE_ERROR_ON(_run_method == nullptr && _data_layout == DataLayout::NHWC); + + 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) + { + _nchw_func(src, dst, offsets, dx, dy, _policy, _border_mode, _constant_border_value, _sampling_offset, + _align_corners, window); + } + else + { + _run_method(src, dst, offsets, dx, dy, _policy, _border_mode, _constant_border_value, _sampling_offset, + _align_corners, window); + } +} + +const char *CpuScaleKernel::name() const +{ + return _name.c_str(); +} + +const std::vector<CpuScaleKernel::ScaleKernel> &CpuScaleKernel::get_available_kernels() +{ + return available_kernels; +} + +} // namespace kernels +} // namespace cpu +} // namespace arm_compute |