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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-10-11 18:41:19 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:55:45 +0000
commit7f32d01cedfd0f2e89bea1a40e5f82ed3ad43d4e (patch)
treef5983dde0a1bec40e8dad616d30203614a5ef4e6 /src/core/CL/kernels/CLNormalizationLayerKernel.cpp
parentafbc5ffb0b567ae93fa2765066bd136d72be88ff (diff)
downloadComputeLibrary-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/CL/kernels/CLNormalizationLayerKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLNormalizationLayerKernel.cpp43
1 files changed, 27 insertions, 16 deletions
diff --git a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
index eb1ad68cd3..67357da7d1 100644
--- a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
@@ -23,6 +23,7 @@
*/
#include "arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h"
+#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/CLValidate.h"
@@ -61,24 +62,32 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen
// Output tensor auto initialization if not yet initialized
auto_init_if_empty(*output, *input->clone());
+ const unsigned int num_elems_processed_per_iteration = 4;
+
const unsigned int norm_idx = get_normalization_dimension_index(input->data_layout(), norm_info);
- const unsigned int norm_size = norm_info.norm_size();
- bool is_norm_accross_width = norm_idx == 0;
+ const bool is_norm_accross_width = norm_idx == 0;
- const unsigned int border_width = is_norm_accross_width ? std::min(norm_size / 2, 3U) : 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);
- const unsigned int num_elems_processed_per_iteration = 4;
- const unsigned int num_elems_read_per_iteration = is_norm_accross_width ? (num_elems_processed_per_iteration + 2 * (norm_size / 2)) : num_elems_processed_per_iteration;
-
- 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;
// We do not use a Rectangle window for IN_MAP_2D as we clamp the top and bottom accesses inside the kernel, avoiding padding
- AccessWindowHorizontal input_access(input, -border_size.left, num_elems_read_per_iteration);
- AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
-
- bool window_changed = update_window_and_padding(win, input_access, output_access);
+ // Reads can occur within the valid region of the input
+ if(is_norm_accross_width)
+ {
+ AccessWindowStatic input_access(input, -border_size.left, 0, input->dimension(0) + border_size.right, 0);
+ window_changed = window_changed || update_window_and_padding(win, input_access);
+ }
+ else
+ {
+ AccessWindowHorizontal input_access(input, -border_size.left, num_elems_processed_per_iteration);
+ window_changed = window_changed || update_window_and_padding(win, input_access);
+ }
+ AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+ window_changed = window_changed || update_window_and_padding(win, output_access);
output_access.set_valid_region(win, input->valid_region());
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
@@ -109,14 +118,15 @@ void CLNormalizationLayerKernel::configure(const ICLTensor *input, ICLTensor *ou
_input = input;
_output = output;
- const unsigned int norm_idx = get_normalization_dimension_index(input->info()->data_layout(), norm_info);
- _is_norm_across_width = norm_idx == 0;
- const unsigned int border_width = _is_norm_across_width ? std::min(norm_info.norm_size() / 2, 3U) : 0;
- _border_size = BorderSize(0, border_width);
-
const unsigned int num_elems_processed_per_iteration = 4;
const bool is_in_map_2D = (norm_info.type() == NormType::IN_MAP_2D);
+ const DataLayout data_layout = input->info()->data_layout();
+ const unsigned int norm_idx = get_normalization_dimension_index(data_layout, norm_info);
+ _is_norm_across_width = norm_idx == 0;
+ const unsigned int border_width = _is_norm_across_width ? num_elems_processed_per_iteration - 1 : 0;
+ _border_size = BorderSize(0, border_width);
+
// Set build options
CLBuildOptions build_opts;
build_opts.add_option(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
@@ -127,6 +137,7 @@ void CLNormalizationLayerKernel::configure(const ICLTensor *input, ICLTensor *ou
build_opts.add_option(("-DRADIUS=" + support::cpp11::to_string(norm_info.norm_size() / 2)));
build_opts.add_option(("-DNUM_SLICES=" + support::cpp11::to_string(input->info()->dimension(2))));
build_opts.add_option_if(is_in_map_2D, "-DIN_MAP_2D");
+ build_opts.add_option_if(norm_info.is_in_map() || (data_layout == DataLayout::NHWC && norm_info.is_cross_map()), "-DWIDTH_SIZE=" + support::cpp11::to_string(input->info()->dimension(0)));
// Create kernel
std::string kernel_name = _is_norm_across_width ? "normalization_layer_in_map" : "normalization_layer_cross_map";