diff options
Diffstat (limited to 'src/cpu/kernels/CpuScaleKernel.cpp')
| -rw-r--r-- | src/cpu/kernels/CpuScaleKernel.cpp | 607 |
1 files changed, 321 insertions, 286 deletions
diff --git a/src/cpu/kernels/CpuScaleKernel.cpp b/src/cpu/kernels/CpuScaleKernel.cpp index 332304599f..702e0a8134 100644 --- a/src/cpu/kernels/CpuScaleKernel.cpp +++ b/src/cpu/kernels/CpuScaleKernel.cpp @@ -26,6 +26,7 @@ #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" @@ -44,104 +45,74 @@ 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::common_neon_scale<float16_t>) - }, - { - "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) - }, +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::common_neon_scale<float16_t>)}, + {"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) +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 }); + 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_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"); @@ -153,27 +124,30 @@ Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dx, const I 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)); + 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) + 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) + 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) + 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)); + 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) + 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); @@ -183,24 +157,28 @@ Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dx, const I } } // namespace -void CpuScaleKernel::configure(const ITensorInfo *src, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, - ITensorInfo *dst, const ScaleKernelInfo &info) +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_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)); + _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; @@ -212,19 +190,22 @@ void CpuScaleKernel::configure(const ITensorInfo *src, const ITensorInfo *dx, co _constant_border_value = info.constant_border_value; _align_corners = info.align_corners; - if(info.sampling_policy == SamplingPolicy::CENTER) + 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); + 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; + _policy = (_policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) ? InterpolationPolicy::NEAREST_NEIGHBOR + : _policy; - if(_border_mode == BorderMode::UNDEFINED) + if (_border_mode == BorderMode::UNDEFINED) { _border_mode = BorderMode::CONSTANT; _constant_border_value = PixelValue(); @@ -232,39 +213,38 @@ void CpuScaleKernel::configure(const ITensorInfo *src, const ITensorInfo *dx, co #ifdef ENABLE_NCHW_KERNELS // Configure scale function to run - if(_data_layout == DataLayout::NCHW) + 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 }, + 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_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_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_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> }, + {"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> }, + {"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> }, + {"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()) + if (it != map_function.end()) { _func = it->second; } @@ -278,13 +258,19 @@ void CpuScaleKernel::configure(const ITensorInfo *src, const ITensorInfo *dx, co #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) +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); + 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 @@ -296,7 +282,7 @@ void CpuScaleKernel::scale_nearest_nchw(const ITensor *src, ITensor *dst, const 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) + for (size_t d = Window::DimZ; d < offsets->info()->num_dimensions(); ++d) { win_off.set(d, Window::Dimension(0, 0, 0)); } @@ -305,24 +291,33 @@ void CpuScaleKernel::scale_nearest_nchw(const ITensor *src, ITensor *dst, const 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); + 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) +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; + 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()); @@ -332,7 +327,7 @@ void CpuScaleKernel::scale_bilinear_nchw(const ITensor *src, ITensor *dst, const 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) + for (size_t d = Window::DimZ; d < offsets->info()->num_dimensions(); ++d) { win_off.set(d, Window::Dimension(0, 0, 0)); } @@ -347,7 +342,7 @@ void CpuScaleKernel::scale_bilinear_nchw(const ITensor *src, ITensor *dst, const 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) + 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; @@ -355,52 +350,60 @@ void CpuScaleKernel::scale_bilinear_nchw(const ITensor *src, ITensor *dst, const 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); + 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 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 { @@ -408,7 +411,12 @@ void CpuScaleKernel::scale_bilinear_nchw(const ITensor *src, ITensor *dst, const } } -void CpuScaleKernel::scale_area_nchw_u8(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window) +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; @@ -425,50 +433,60 @@ void CpuScaleKernel::scale_area_nchw_u8(const ITensor *src, ITensor *dst, const 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 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); + 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) +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); + 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)); @@ -479,7 +497,7 @@ void CpuScaleKernel::scale_bilinear_qasymm(const ITensor *src, ITensor *dst, con 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) + for (size_t d = Window::DimZ; d < offsets->info()->num_dimensions(); ++d) { win_off.set(d, Window::Dimension(0, 0, 0)); } @@ -495,7 +513,7 @@ void CpuScaleKernel::scale_bilinear_qasymm(const ITensor *src, ITensor *dst, con const UniformQuantizationInfo iq_info = src->info()->quantization_info().uniform(); const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); - if(_border_mode == BorderMode::CONSTANT) + 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; @@ -503,62 +521,74 @@ void CpuScaleKernel::scale_bilinear_qasymm(const ITensor *src, ITensor *dst, con 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); + 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 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 { @@ -567,8 +597,12 @@ void CpuScaleKernel::scale_bilinear_qasymm(const ITensor *src, ITensor *dst, con } #endif // ENABLE_NCHW_KERNELS -Status CpuScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, - const ITensorInfo *offsets, ITensorInfo *output, const ScaleKernelInfo &info) +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{}; @@ -588,13 +622,14 @@ void CpuScaleKernel::run_op(ITensorPack &tensors, const Window &window, const Th 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) + if (_data_layout == DataLayout::NCHW) { (this->*_func)(src, dst, dx, dy, offsets, window); } else { - _run_method(src, dst, offsets, dx, dy, _policy, _border_mode, _constant_border_value, _sampling_offset, _align_corners, window); + _run_method(src, dst, offsets, dx, dy, _policy, _border_mode, _constant_border_value, _sampling_offset, + _align_corners, window); } } |