diff options
Diffstat (limited to 'src/core/NEON/kernels/NECropKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NECropKernel.cpp | 357 |
1 files changed, 158 insertions, 199 deletions
diff --git a/src/core/NEON/kernels/NECropKernel.cpp b/src/core/NEON/kernels/NECropKernel.cpp index fabbd64305..60271fbc74 100644 --- a/src/core/NEON/kernels/NECropKernel.cpp +++ b/src/core/NEON/kernels/NECropKernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2021 Arm Limited. + * Copyright (c) 2019-2022 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -26,163 +26,110 @@ #include "arm_compute/core/ITensor.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Types.h" -#include "arm_compute/core/Window.h" #include "arm_compute/core/utils/helpers/tensor_transform.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "arm_compute/core/Window.h" + +#include "src/core/common/Registrars.h" #include "src/core/CPP/Validate.h" -#include "src/core/NEON/wrapper/wrapper.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" +#include "src/core/NEON/wrapper/wrapper.h" #include "src/core/utils/helpers/bit_ops.h" +#include "src/cpu/kernels/crop/list.h" namespace arm_compute { namespace { -template <typename T> -inline float32x4_t load_as_f32(T *ptr) -{ - ARM_COMPUTE_UNUSED(ptr); - ARM_COMPUTE_ERROR("Type not supported."); -} - -template <> -inline float32x4_t load_as_f32(float *ptr) -{ - return wrapper::vloadq(ptr); -} - -template <> -inline float32x4_t load_as_f32(int32_t *ptr) -{ - return vcvtq_f32_s32(wrapper::vloadq(ptr)); -} - -template <> -inline float32x4_t load_as_f32(uint32_t *ptr) +struct CropSelectorData { - return vcvtq_f32_u32(wrapper::vloadq(ptr)); -} + DataType dt; +}; -template <> -inline float32x4_t load_as_f32(int16_t *ptr) -{ - return vcvtq_f32_s32(vmovl_s16(wrapper::vload(ptr))); -} +using CropSelectorPtr = std::add_pointer<bool(const CropSelectorData &data)>::type; +using CropUKernelPtr = std::add_pointer<void( + const ITensor *, const ITensor *, float *, Coordinates, int32_t, int32_t, int32_t, bool, bool)>::type; -template <> -inline float32x4_t load_as_f32(uint16_t *ptr) +struct CropUKernel { - return vcvtq_f32_u32(vmovl_u16(wrapper::vload(ptr))); -} + const char *name; + const CropSelectorPtr is_selected; + CropUKernelPtr ukernel; +}; -template <> -inline float32x4_t load_as_f32(uint8_t *ptr) -{ - return vcvtq_f32_u32(vmovl_u16(vget_low_u16(vmovl_u8(wrapper::vload(ptr))))); -} +static const CropUKernel available_kernels[] = { + {"fp16_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::F16; }, + REGISTER_FP16_NEON(arm_compute::cpu::fp16_in_bounds_crop_window)}, + {"f32_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::F32; }, + REGISTER_FP32_NEON(arm_compute::cpu::fp32_in_bounds_crop_window)}, + {"u8_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::U8; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::u8_in_bounds_crop_window)}, + {"u16_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::U16; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::u16_in_bounds_crop_window)}, + {"u32_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::U32; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::u32_in_bounds_crop_window)}, + {"s8_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::S8; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::s8_in_bounds_crop_window)}, + {"s16_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::S16; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::s16_in_bounds_crop_window)}, + {"s32_neon_crop", [](const CropSelectorData &data) { return data.dt == DataType::S32; }, + REGISTER_INTEGER_NEON(arm_compute::cpu::s32_in_bounds_crop_window)}, +}; -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -template <> -inline float32x4_t load_as_f32(float16_t *ptr) -{ - return vcvt_f32_f16(wrapper::vload(ptr)); -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - -template <typename T> -inline void in_bounds_crop_window(const ITensor *input, const ITensor *output, float *output_ptr, Coordinates input_offset, - int32_t window_step_x, int32_t output_width_start, int32_t output_width_limit, bool input_has_single_channel, bool is_width_flipped) +/** Micro-kernel selector + * + * @param[in] data Selection data passed to help pick the appropriate micro-kernel + * + * @return A matching micro-kernel else nullptr + */ +const CropUKernel *get_implementation(const CropSelectorData &data) { - // Reverse elements if width flipped. - if(is_width_flipped) + for (const auto &uk : available_kernels) { - // Collapse first dimension if possible. - if(input_has_single_channel) + if (uk.is_selected(data)) { - int32_t x = output_width_start; - Coordinates negative_offset(input_offset); - negative_offset.set(1, negative_offset[1] - window_step_x + 1); - for(; x <= output_width_limit - window_step_x; x += window_step_x, negative_offset[1] -= window_step_x) - { - auto in = load_as_f32(reinterpret_cast<T *>(input->ptr_to_element(negative_offset))); - - in = wrapper::vrev64(in); - in = wrapper::vcombine(wrapper::vgethigh(in), wrapper::vgetlow(in)); - - wrapper::vstore(output_ptr + x, in); - } - input_offset[1] = negative_offset[1] + window_step_x - 1; - for(; x < output_width_limit; ++x, --input_offset[1]) - { - *(output_ptr + x) = static_cast<float>(*reinterpret_cast<T *>(input->ptr_to_element(input_offset))); - } - } - else - { - for(int32_t x = output_width_start; x < output_width_limit; ++x, --input_offset[1]) - { - input_offset.set(0, 0); - int32_t c = 0; - for(; c <= static_cast<int32_t>(input->info()->dimension(0)) - window_step_x; c += window_step_x, input_offset[0] += window_step_x) - { - auto in = load_as_f32(reinterpret_cast<T *>(input->ptr_to_element(input_offset))); - wrapper::vstore(output_ptr + x * output->info()->dimension(0) + c, in); - } - for(; c < static_cast<int32_t>(input->info()->dimension(0)); ++c, ++input_offset[0]) - { - *(output_ptr + x * output->info()->dimension(0) + c) = static_cast<float>(*reinterpret_cast<T *>(input->ptr_to_element(input_offset))); - } - } - } - } - else - { - // Use memcpy if the elements don't need converting to float. - if(std::is_same<T, float>::value) - { - memcpy(static_cast<void *>(output_ptr + output_width_start * output->info()->dimension(0)), - reinterpret_cast<const void *>(input->ptr_to_element(input_offset)), - (output_width_limit - output_width_start) * output->info()->dimension(0) * output->info()->element_size()); - } - else - { - int32_t x = 0; - int32_t limit = (output_width_limit - output_width_start) * static_cast<int32_t>(output->info()->dimension(0)); - float *output_start_ptr = output_ptr + output_width_start * output->info()->dimension(0); - for(; x <= limit - window_step_x; x += window_step_x, input_offset[0] += window_step_x) - { - auto in = load_as_f32(reinterpret_cast<T *>(input->ptr_to_element(input_offset))); - wrapper::vstore(output_start_ptr + x, in); - } - for(; x < limit; ++x, ++input_offset[0]) - { - *(output_start_ptr + x) = static_cast<float>(*reinterpret_cast<T *>(input->ptr_to_element(input_offset))); - } + return &uk; } } + + return nullptr; } -inline void out_of_bounds_crop_window(const ITensor *output, float *output_ptr, float extrapolation_value, - int32_t window_step_x, int32_t output_width_start, int32_t output_width_limit) +inline void out_of_bounds_crop_window(const ITensor *output, + float *output_ptr, + float extrapolation_value, + int32_t window_step_x, + int32_t output_width_start, + int32_t output_width_limit) { - auto in = wrapper::vdup_n(extrapolation_value, wrapper::traits::vector_128_tag()); - int32_t x = 0; - int32_t limit = (output_width_limit - output_width_start) * static_cast<int32_t>(output->info()->dimension(0)); - float *output_start_ptr = output_ptr + output_width_start * output->info()->dimension(0); - for(; x <= limit - window_step_x; x += window_step_x) + auto in = wrapper::vdup_n(extrapolation_value, wrapper::traits::vector_128_tag()); + int32_t x = 0; + int32_t limit = (output_width_limit - output_width_start) * static_cast<int32_t>(output->info()->dimension(0)); + float *output_start_ptr = output_ptr + output_width_start * output->info()->dimension(0); + for (; x <= limit - window_step_x; x += window_step_x) { wrapper::vstore(output_start_ptr + x, in); } - for(; x < limit; ++x) + for (; x < limit; ++x) { *(output_start_ptr + x) = extrapolation_value; } } -inline void execute_window(const ITensor *input, const ITensor *output, Coordinates input_offset, float extrapolation_value, - const std::array<uint32_t, 2> &rows_out_of_bounds, const std::array<uint32_t, 2> &cols_out_of_bounds, NECropKernel::InBoundsCropFunction *in_bounds_crop_function, - bool is_height_flipped, bool has_cols_in_bounds, bool has_cols_out_of_bounds_before, bool has_cols_out_of_bounds_after, bool input_has_single_channel, bool is_width_flipped) +inline void execute_window(const ITensor *input, + const ITensor *output, + Coordinates input_offset, + float extrapolation_value, + const std::array<uint32_t, 2> &rows_out_of_bounds, + const std::array<uint32_t, 2> &cols_out_of_bounds, + NECropKernel::InBoundsCropFunction *in_bounds_crop_function, + bool is_height_flipped, + bool has_cols_in_bounds, + bool has_cols_out_of_bounds_before, + bool has_cols_out_of_bounds_after, + bool input_has_single_channel, + bool is_width_flipped) { // Output is always float. const int window_step_x = 16 / sizeof(float); @@ -203,46 +150,66 @@ inline void execute_window(const ITensor *input, const ITensor *output, Coordina // |------------------------------| // Fill all output rows that have no elements that are within the input bounds with the extrapolation value. // First for the rows before the in bounds rows. - out_of_bounds_crop_window(output, output_ptr, extrapolation_value, window_step_x, 0, rows_out_of_bounds[0] * output->info()->dimension(1)); + out_of_bounds_crop_window(output, output_ptr, extrapolation_value, window_step_x, 0, + rows_out_of_bounds[0] * output->info()->dimension(1)); output_ptr += rows_out_of_bounds[0] * output->info()->dimension(1) * output->info()->dimension(0); // Iterate through each row that has any elements within the input bounds. - for(uint32_t row = rows_out_of_bounds[0]; static_cast<int32_t>(row) < static_cast<int32_t>(output->info()->dimension(2) - rows_out_of_bounds[1]); - ++row, is_height_flipped ? --input_offset[2] : ++input_offset[2]) + for (uint32_t row = rows_out_of_bounds[0]; + static_cast<int32_t>(row) < static_cast<int32_t>(output->info()->dimension(2) - rows_out_of_bounds[1]); + ++row, is_height_flipped ? --input_offset[2] : ++input_offset[2]) { // Fill all elements in the row that are out of bounds with the extrapolation value. // First for the elements before the in bounds elements. - if(has_cols_out_of_bounds_before) + if (has_cols_out_of_bounds_before) { out_of_bounds_crop_window(output, output_ptr, extrapolation_value, window_step_x, 0, cols_out_of_bounds[0]); } // Copy all elements within the input bounds from the input tensor. - if(has_cols_in_bounds) + if (has_cols_in_bounds) { (*in_bounds_crop_function)(input, output, output_ptr, input_offset, window_step_x, cols_out_of_bounds[0], - output->info()->dimension(1) - cols_out_of_bounds[1], input_has_single_channel, is_width_flipped); + output->info()->dimension(1) - cols_out_of_bounds[1], input_has_single_channel, + is_width_flipped); } // Fill all elements after the in bounds elements with the extrapolation value. - if(has_cols_out_of_bounds_after) + if (has_cols_out_of_bounds_after) { - out_of_bounds_crop_window(output, output_ptr, extrapolation_value, window_step_x, output->info()->dimension(1) - cols_out_of_bounds[1], output->info()->dimension(1)); + out_of_bounds_crop_window(output, output_ptr, extrapolation_value, window_step_x, + output->info()->dimension(1) - cols_out_of_bounds[1], + output->info()->dimension(1)); } output_ptr += output->info()->dimension(1) * output->info()->dimension(0); } // Fill all rows after the in bounds elements with the extrapolation value. - out_of_bounds_crop_window(output, output_ptr, extrapolation_value, window_step_x, 0, rows_out_of_bounds[1] * output->info()->dimension(1)); + out_of_bounds_crop_window(output, output_ptr, extrapolation_value, window_step_x, 0, + rows_out_of_bounds[1] * output->info()->dimension(1)); } } // namespace NECropKernel::NECropKernel() - : _input(nullptr), _crop_boxes(nullptr), _box_ind(nullptr), _output(nullptr), _start(), _end(), _crop_box_ind(0), _extrapolation_value(0), _rows_out_of_bounds(), _cols_out_of_bounds(), - _in_bounds_crop_function(nullptr) + : _input(nullptr), + _crop_boxes(nullptr), + _box_ind(nullptr), + _output(nullptr), + _start(), + _end(), + _crop_box_ind(0), + _extrapolation_value(0), + _rows_out_of_bounds(), + _cols_out_of_bounds() { } -void NECropKernel::configure(const ITensor *input, const ITensor *crop_boxes, const ITensor *box_ind, ITensor *output, uint32_t crop_box_ind, float extrapolation_value) +void NECropKernel::configure(const ITensor *input, + const ITensor *crop_boxes, + const ITensor *box_ind, + ITensor *output, + uint32_t crop_box_ind, + float extrapolation_value) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), crop_boxes->info(), box_ind->info(), output->info(), crop_box_ind, extrapolation_value)); + ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), crop_boxes->info(), box_ind->info(), output->info(), + crop_box_ind, extrapolation_value)); _input = input; _crop_boxes = crop_boxes; @@ -250,49 +217,29 @@ void NECropKernel::configure(const ITensor *input, const ITensor *crop_boxes, co _output = output; _crop_box_ind = crop_box_ind; _extrapolation_value = extrapolation_value; - - switch(input->info()->data_type()) - { - case DataType::F32: - _in_bounds_crop_function = &in_bounds_crop_window<float>; - break; -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - _in_bounds_crop_function = &in_bounds_crop_window<float16_t>; - break; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - case DataType::U32: - _in_bounds_crop_function = &in_bounds_crop_window<uint32_t>; - break; - case DataType::S32: - _in_bounds_crop_function = &in_bounds_crop_window<int32_t>; - break; - case DataType::U16: - _in_bounds_crop_function = &in_bounds_crop_window<uint16_t>; - break; - case DataType::S16: - _in_bounds_crop_function = &in_bounds_crop_window<int16_t>; - break; - case DataType::U8: - _in_bounds_crop_function = &in_bounds_crop_window<uint8_t>; - break; - default: - ARM_COMPUTE_ERROR("Datatype not supported"); - } } -Status NECropKernel::validate(const ITensorInfo *input, const ITensorInfo *crop_boxes, const ITensorInfo *box_ind, const ITensorInfo *output, uint32_t crop_box_ind, float extrapolation_value) +Status NECropKernel::validate(const ITensorInfo *input, + const ITensorInfo *crop_boxes, + const ITensorInfo *box_ind, + const ITensorInfo *output, + uint32_t crop_box_ind, + float extrapolation_value) { ARM_COMPUTE_UNUSED(extrapolation_value); + const auto *uk = get_implementation(CropSelectorData{input->data_type()}); + ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); + ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::U16, DataType::S16, DataType::F16, DataType::U32, DataType::S32, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::U16, DataType::S16, + DataType::F16, DataType::U32, DataType::S32, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(input, DataLayout::NHWC); ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4); ARM_COMPUTE_RETURN_ERROR_ON(crop_boxes->tensor_shape()[0] != 4); ARM_COMPUTE_RETURN_ERROR_ON(crop_boxes->tensor_shape()[1] != box_ind->tensor_shape()[0]); ARM_COMPUTE_RETURN_ERROR_ON(crop_boxes->tensor_shape()[1] <= crop_box_ind); ARM_COMPUTE_RETURN_ERROR_ON(box_ind->tensor_shape()[0] <= crop_box_ind); - if(output->total_size() > 0) + if (output->total_size() > 0) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(output, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); @@ -313,48 +260,53 @@ void NECropKernel::configure_output_shape() // The normalized coordiantes are scaled to retrieve the floating point image coordinates which are rounded to integers. _start = Coordinates(std::floor(x0 * (_input->info()->tensor_shape()[1] - 1) + 0.5f), std::floor(y0 * (_input->info()->tensor_shape()[2] - 1) + 0.5f)); - _end = Coordinates(std::floor(x1 * (_input->info()->tensor_shape()[1] - 1) + 0.5f), - std::floor(y1 * (_input->info()->tensor_shape()[2] - 1) + 0.5f)); - const TensorShape out_shape(_input->info()->tensor_shape()[0], abs(_end[0] - _start[0]) + 1, abs(_end[1] - _start[1]) + 1); + _end = Coordinates(std::floor(x1 * (_input->info()->tensor_shape()[1] - 1) + 0.5f), + std::floor(y1 * (_input->info()->tensor_shape()[2] - 1) + 0.5f)); + const TensorShape out_shape(_input->info()->tensor_shape()[0], abs(_end[0] - _start[0]) + 1, + abs(_end[1] - _start[1]) + 1); _output->info()->set_tensor_shape(out_shape); bool is_width_flipped = _end[0] < _start[0]; bool is_height_flipped = _end[1] < _start[1]; - if(is_height_flipped) + if (is_height_flipped) { - _rows_out_of_bounds[0] = _start[1] >= static_cast<int32_t>(_input->info()->dimension(2)) ? std::min(static_cast<uint32_t>(_start[1] - _input->info()->dimension(2) + 1), - static_cast<uint32_t>(_output->info()->dimension(2))) : - 0; + _rows_out_of_bounds[0] = _start[1] >= static_cast<int32_t>(_input->info()->dimension(2)) + ? std::min(static_cast<uint32_t>(_start[1] - _input->info()->dimension(2) + 1), + static_cast<uint32_t>(_output->info()->dimension(2))) + : 0; _rows_out_of_bounds[1] = _end[1] < 0 ? std::min(static_cast<uint32_t>(-_end[1]), - static_cast<uint32_t>(_output->info()->dimension(2))) : - 0; + static_cast<uint32_t>(_output->info()->dimension(2))) + : 0; } else { _rows_out_of_bounds[0] = _start[1] < 0 ? std::min(static_cast<uint32_t>(-_start[1]), - static_cast<uint32_t>(_output->info()->dimension(2))) : - 0; - _rows_out_of_bounds[1] = _end[1] >= static_cast<int32_t>(_input->info()->dimension(2)) ? std::min(static_cast<uint32_t>(_end[1] - _input->info()->dimension(2) + 1), - static_cast<uint32_t>(_output->info()->dimension(2))) : - 0; + static_cast<uint32_t>(_output->info()->dimension(2))) + : 0; + _rows_out_of_bounds[1] = _end[1] >= static_cast<int32_t>(_input->info()->dimension(2)) + ? std::min(static_cast<uint32_t>(_end[1] - _input->info()->dimension(2) + 1), + static_cast<uint32_t>(_output->info()->dimension(2))) + : 0; } - if(is_width_flipped) + if (is_width_flipped) { - _cols_out_of_bounds[0] = _start[0] >= static_cast<int32_t>(_input->info()->dimension(1)) ? std::min(static_cast<uint32_t>(_start[0] - _input->info()->dimension(1) + 1), - static_cast<uint32_t>(_output->info()->dimension(1))) : - 0; + _cols_out_of_bounds[0] = _start[0] >= static_cast<int32_t>(_input->info()->dimension(1)) + ? std::min(static_cast<uint32_t>(_start[0] - _input->info()->dimension(1) + 1), + static_cast<uint32_t>(_output->info()->dimension(1))) + : 0; _cols_out_of_bounds[1] = _end[0] < 0 ? std::min(static_cast<uint32_t>(-_end[0]), - static_cast<uint32_t>(_output->info()->dimension(1))) : - 0; + static_cast<uint32_t>(_output->info()->dimension(1))) + : 0; } else { _cols_out_of_bounds[0] = _start[0] < 0 ? std::min(static_cast<uint32_t>(-_start[0]), - static_cast<uint32_t>(_output->info()->dimension(1))) : - 0; - _cols_out_of_bounds[1] = _end[0] >= static_cast<int32_t>(_input->info()->dimension(1)) ? std::min(static_cast<uint32_t>(_end[0] - _input->info()->dimension(1) + 1), - static_cast<uint32_t>(_output->info()->dimension(1))) : - 0; + static_cast<uint32_t>(_output->info()->dimension(1))) + : 0; + _cols_out_of_bounds[1] = _end[0] >= static_cast<int32_t>(_input->info()->dimension(1)) + ? std::min(static_cast<uint32_t>(_end[0] - _input->info()->dimension(1) + 1), + static_cast<uint32_t>(_output->info()->dimension(1))) + : 0; } INEKernel::configure(calculate_max_window(*_output->info())); @@ -369,11 +321,18 @@ void NECropKernel::run(const Window &window, const ThreadInfo &info) ARM_COMPUTE_ERROR_ON(_input->info()->has_padding()); ARM_COMPUTE_ERROR_ON(_output->info()->has_padding()); + const auto *uk = get_implementation(CropSelectorData{_input->info()->data_type()}); + uint32_t batch_index = *(reinterpret_cast<int32_t *>(_box_ind->ptr_to_element(Coordinates(_crop_box_ind)))); - Coordinates input_offset(0, _end[0] < _start[0] ? _start[0] - _cols_out_of_bounds[0] : _start[0] + _cols_out_of_bounds[0], - _end[1] < _start[1] ? _start[1] - _rows_out_of_bounds[0] : _start[1] + _rows_out_of_bounds[0], batch_index); - execute_window(_input, _output, input_offset, _extrapolation_value, _rows_out_of_bounds, _cols_out_of_bounds, _in_bounds_crop_function, _end[1] < _start[1], - _cols_out_of_bounds[0] + _cols_out_of_bounds[1] < _output->info()->dimension(1), _cols_out_of_bounds[0] > 0, _cols_out_of_bounds[1] > 0, + Coordinates input_offset( + 0, _end[0] < _start[0] ? _start[0] - _cols_out_of_bounds[0] : _start[0] + _cols_out_of_bounds[0], + _end[1] < _start[1] ? _start[1] - _rows_out_of_bounds[0] : _start[1] + _rows_out_of_bounds[0], batch_index); + execute_window(_input, _output, input_offset, _extrapolation_value, _rows_out_of_bounds, _cols_out_of_bounds, + uk->ukernel, + _end[1]<_start[1], + _cols_out_of_bounds[0] + + _cols_out_of_bounds[1]<_output->info()->dimension(1), _cols_out_of_bounds[0]> 0, + _cols_out_of_bounds[1]> 0, _start[0] <= _end[0], _end[0] < _start[0]); } } // namespace arm_compute |