Apply clang-format on repository
Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
diff --git a/src/core/CL/kernels/CLBoundingBoxTransformKernel.cpp b/src/core/CL/kernels/CLBoundingBoxTransformKernel.cpp
index 72de854..f32c518 100644
--- a/src/core/CL/kernels/CLBoundingBoxTransformKernel.cpp
+++ b/src/core/CL/kernels/CLBoundingBoxTransformKernel.cpp
@@ -31,6 +31,7 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/utils/StringUtils.h"
+
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
@@ -40,7 +41,10 @@
{
namespace
{
-Status validate_arguments(const ITensorInfo *boxes, const ITensorInfo *pred_boxes, const ITensorInfo *deltas, const BoundingBoxTransformInfo &info)
+Status validate_arguments(const ITensorInfo *boxes,
+ const ITensorInfo *pred_boxes,
+ const ITensorInfo *deltas,
+ const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas);
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(boxes);
@@ -53,7 +57,7 @@
ARM_COMPUTE_RETURN_ERROR_ON(boxes->num_dimensions() > 2);
const bool is_qasymm16 = boxes->data_type() == DataType::QASYMM16;
- if(is_qasymm16)
+ if (is_qasymm16)
{
const UniformQuantizationInfo boxes_qinfo = boxes->quantization_info().uniform();
ARM_COMPUTE_RETURN_ERROR_ON(boxes_qinfo.scale != 0.125f);
@@ -65,12 +69,12 @@
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(boxes, deltas);
}
- if(pred_boxes->total_size() > 0)
+ if (pred_boxes->total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(pred_boxes->tensor_shape(), deltas->tensor_shape());
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(pred_boxes, boxes);
ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes->num_dimensions() > 2);
- if(is_qasymm16)
+ if (is_qasymm16)
{
const UniformQuantizationInfo pred_boxes_qinfo = pred_boxes->quantization_info().uniform();
ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes_qinfo.scale != 0.125f);
@@ -83,22 +87,31 @@
}
} // namespace
-CLBoundingBoxTransformKernel::CLBoundingBoxTransformKernel()
- : _boxes(nullptr), _pred_boxes(nullptr), _deltas(nullptr)
+CLBoundingBoxTransformKernel::CLBoundingBoxTransformKernel() : _boxes(nullptr), _pred_boxes(nullptr), _deltas(nullptr)
{
_type = CLKernelType::ELEMENTWISE;
}
-void CLBoundingBoxTransformKernel::configure(const ICLTensor *boxes, ICLTensor *pred_boxes, const ICLTensor *deltas, const BoundingBoxTransformInfo &info)
+void CLBoundingBoxTransformKernel::configure(const ICLTensor *boxes,
+ ICLTensor *pred_boxes,
+ const ICLTensor *deltas,
+ const BoundingBoxTransformInfo &info)
{
configure(CLKernelLibrary::get().get_compile_context(), boxes, pred_boxes, deltas, info);
}
-void CLBoundingBoxTransformKernel::configure(const CLCompileContext &compile_context, const ICLTensor *boxes, ICLTensor *pred_boxes, const ICLTensor *deltas, const BoundingBoxTransformInfo &info)
+void CLBoundingBoxTransformKernel::configure(const CLCompileContext &compile_context,
+ const ICLTensor *boxes,
+ ICLTensor *pred_boxes,
+ const ICLTensor *deltas,
+ const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas);
- auto padding_info = get_padding_info({ boxes, pred_boxes, deltas });
- auto_init_if_empty(*pred_boxes->info(), deltas->info()->clone()->set_data_type(boxes->info()->data_type()).set_quantization_info(boxes->info()->quantization_info()));
+ auto padding_info = get_padding_info({boxes, pred_boxes, deltas});
+ auto_init_if_empty(*pred_boxes->info(), deltas->info()
+ ->clone()
+ ->set_data_type(boxes->info()->data_type())
+ .set_quantization_info(boxes->info()->quantization_info()));
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(boxes->info(), pred_boxes->info(), deltas->info(), info));
@@ -128,7 +141,7 @@
build_opts.add_option_if(info.apply_scale(), "-DSCALE_AFTER=" + float_to_string_with_full_precision(info.scale()));
build_opts.add_option_if(info.correct_transform_coords(), "-DOFFSET=1");
- if(is_quantized)
+ if (is_quantized)
{
build_opts.add_option("-DDATA_TYPE_DELTAS=" + get_cl_type_from_data_type(deltas->info()->data_type()));
const UniformQuantizationInfo boxes_qinfo = boxes->info()->quantization_info().uniform();
@@ -148,12 +161,15 @@
// Since the number of columns is a multiple of 4 by definition, we don't need to pad the tensor
const unsigned int num_elems_processed_per_iteration = 4;
- Window win = calculate_max_window(*deltas->info(), Steps(num_elems_processed_per_iteration));
+ Window win = calculate_max_window(*deltas->info(), Steps(num_elems_processed_per_iteration));
ICLKernel::configure_internal(win);
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}
-Status CLBoundingBoxTransformKernel::validate(const ITensorInfo *boxes, const ITensorInfo *pred_boxes, const ITensorInfo *deltas, const BoundingBoxTransformInfo &info)
+Status CLBoundingBoxTransformKernel::validate(const ITensorInfo *boxes,
+ const ITensorInfo *pred_boxes,
+ const ITensorInfo *deltas,
+ const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(boxes, pred_boxes, deltas, info));
return Status{};