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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-10-11 18:41:19 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:55:45 +0000 |
commit | 7f32d01cedfd0f2e89bea1a40e5f82ed3ad43d4e (patch) | |
tree | f5983dde0a1bec40e8dad616d30203614a5ef4e6 /src/core/NEON/kernels/NENormalizationLayerKernel.cpp | |
parent | afbc5ffb0b567ae93fa2765066bd136d72be88ff (diff) | |
download | ComputeLibrary-7f32d01cedfd0f2e89bea1a40e5f82ed3ad43d4e.tar.gz |
COMPMID-1451: Fix NormalizationLayer accross width normalization.
NEON and CL normalization layer was generating invalida results for
radius > 4.
Change-Id: I15d846405e6b3492fe44920bbf8cadceb4e5258f
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/153161
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Matteo Martincigh <matteo.martincigh@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NENormalizationLayerKernel.cpp')
-rw-r--r-- | src/core/NEON/kernels/NENormalizationLayerKernel.cpp | 51 |
1 files changed, 32 insertions, 19 deletions
diff --git a/src/core/NEON/kernels/NENormalizationLayerKernel.cpp b/src/core/NEON/kernels/NENormalizationLayerKernel.cpp index febc75944f..27af121ce5 100644 --- a/src/core/NEON/kernels/NENormalizationLayerKernel.cpp +++ b/src/core/NEON/kernels/NENormalizationLayerKernel.cpp @@ -23,6 +23,7 @@ */ #include "arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h" +#include "arm_compute/core/AccessWindowStatic.h" #include "arm_compute/core/CPP/Validate.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" @@ -61,30 +62,40 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *input_squ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *input_squared, ITensorInfo *output, const NormalizationLayerInfo &norm_info) { - unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); - const unsigned int num_elems_read_per_iteration = num_elems_processed_per_iteration + 2 * (norm_info.norm_size() / 2); - const unsigned int norm_idx = get_normalization_dimension_index(input->data_layout(), norm_info); - const unsigned int num_rows = (norm_info.type() == NormType::IN_MAP_2D) ? norm_info.norm_size() : 1; - const unsigned int border_width = (norm_idx == 2) ? 0 : std::min<unsigned int>(norm_info.norm_size() / 2, 3U); - BorderSize border_size = BorderSize(0, border_width); - bool window_changed = false; + // Output tensor auto initialization if not yet initialized + auto_init_if_empty(*output, *input->clone()); + + const unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); + + const unsigned int norm_idx = get_normalization_dimension_index(input->data_layout(), norm_info); + const bool is_norm_accross_width = norm_idx == 0; + + const unsigned int border_width = is_norm_accross_width ? num_elems_processed_per_iteration - 1 : 0; + const BorderSize border_size = BorderSize(0, border_width); // Configure window - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); + Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); + bool window_changed = false; - AccessWindowRectangle input_access(input, -border_size.left, 0, num_elems_read_per_iteration, num_rows); - AccessWindowRectangle input_squared_access(input_squared, -border_size.left, 0, num_elems_read_per_iteration, num_rows); + if(is_norm_accross_width) + { + AccessWindowStatic input_access(input, -border_size.left, 0, input->dimension(0) + border_size.right, 0); + AccessWindowStatic input_squared_access(input_squared, -border_size.left, 0, input->dimension(0) + border_size.right, 0); + window_changed = window_changed || update_window_and_padding(win, input_access, input_squared_access); + } + else + { + AccessWindowHorizontal input_access(input, -border_size.left, num_elems_processed_per_iteration); + AccessWindowHorizontal input_squared_access(input_squared, -border_size.left, num_elems_processed_per_iteration); + window_changed = window_changed || update_window_and_padding(win, input_access, input_squared_access); + } if(output->total_size() != 0) { AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - window_changed = update_window_and_padding(win, input_access, input_squared_access, output_access); + window_changed = window_changed || update_window_and_padding(win, output_access); output_access.set_valid_region(win, input->valid_region()); } - else - { - window_changed = update_window_and_padding(win, input_access, input_squared_access); - } Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; return std::make_pair(err, win); @@ -110,8 +121,11 @@ void NENormalizationLayerKernel::configure(const ITensor *input, const ITensor * // Perform validation step ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), input_squared->info(), output->info(), norm_info)); - const unsigned int norm_idx = get_normalization_dimension_index(input->info()->data_layout(), norm_info); - const unsigned int border_width = (norm_idx == 2) ? 0 : std::min<unsigned int>(norm_info.norm_size() / 2, 3U); + const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); + + const unsigned int norm_idx = get_normalization_dimension_index(input->info()->data_layout(), norm_info); + const bool is_norm_accross_width = norm_idx == 0; + const unsigned int border_width = is_norm_accross_width ? num_elems_processed_per_iteration - 1 : 0; _input = input; _input_squared = input_squared; @@ -190,11 +204,10 @@ void NENormalizationLayerKernel::normalize_float(const Window &window) const int dim_y = 1; const int radius = _norm_info.norm_size() / 2; - const int total_size = _input->info()->dimension(dim) - 1; const int input_squared_stride = _input_squared->info()->strides_in_bytes()[dim]; // We account padding across X only and we iterate over rows const int min_left = (dim == 2) ? 0 : -static_cast<int>(border_size().left); - const int max_right = (dim == 2) ? total_size : total_size + border_size().left; + const int max_right = _input->info()->dimension(dim) - 1; const int max_bottom = _input->info()->dimension(dim_y) - 1; if(dt == DataType::F32) |