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/CLSelectKernel.cpp b/src/core/CL/kernels/CLSelectKernel.cpp
index c0e014e..703c64d 100644
--- a/src/core/CL/kernels/CLSelectKernel.cpp
+++ b/src/core/CL/kernels/CLSelectKernel.cpp
@@ -30,10 +30,10 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
+
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
-
#include "support/StringSupport.h"
namespace arm_compute
@@ -51,9 +51,11 @@
const bool is_same_rank = (c->tensor_shape().num_dimensions() == x->tensor_shape().num_dimensions());
ARM_COMPUTE_RETURN_ERROR_ON(is_same_rank && (x->tensor_shape() != c->tensor_shape()));
- ARM_COMPUTE_RETURN_ERROR_ON(!is_same_rank && ((c->tensor_shape().num_dimensions() > 1) || (c->tensor_shape().x() != x->tensor_shape()[x->tensor_shape().num_dimensions() - 1])));
+ ARM_COMPUTE_RETURN_ERROR_ON(!is_same_rank &&
+ ((c->tensor_shape().num_dimensions() > 1) ||
+ (c->tensor_shape().x() != x->tensor_shape()[x->tensor_shape().num_dimensions() - 1])));
- if(output->total_size() != 0)
+ if (output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(x, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(x, output);
@@ -63,13 +65,16 @@
}
} // namespace
-CLSelectKernel::CLSelectKernel()
- : _c(nullptr), _x(nullptr), _y(nullptr), _output(nullptr), _has_same_rank(false)
+CLSelectKernel::CLSelectKernel() : _c(nullptr), _x(nullptr), _y(nullptr), _output(nullptr), _has_same_rank(false)
{
_type = CLKernelType::ELEMENTWISE;
}
-void CLSelectKernel::configure(const CLCompileContext &compile_context, const ICLTensor *c, const ICLTensor *x, const ICLTensor *y, ICLTensor *output)
+void CLSelectKernel::configure(const CLCompileContext &compile_context,
+ const ICLTensor *c,
+ const ICLTensor *x,
+ const ICLTensor *y,
+ ICLTensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(c, x, y, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(c->info(), x->info(), y->info(), output->info()));
@@ -80,7 +85,7 @@
_output = output;
_has_same_rank = (c->info()->tensor_shape().num_dimensions() == x->info()->tensor_shape().num_dimensions());
- auto padding_info = get_padding_info({ c, x, y, output });
+ auto padding_info = get_padding_info({c, x, y, output});
const unsigned int vec_size_x = adjust_vec_size(16 / x->info()->element_size(), x->info()->dimension(0));
const int vec_size_x_leftovers = output->info()->dimension(0) % vec_size_x;
@@ -92,14 +97,14 @@
// Create kernel
std::string kernel_name = "select";
- if(_has_same_rank)
+ if (_has_same_rank)
{
kernel_name += "_same_rank";
}
else
{
const bool is_input_rank_greater_than_two = x->info()->tensor_shape().num_dimensions() > 2;
- if(is_input_rank_greater_than_two)
+ if (is_input_rank_greater_than_two)
{
const size_t width = x->info()->tensor_shape().x();
const size_t height = x->info()->tensor_shape().y();
@@ -128,7 +133,8 @@
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}
-Status CLSelectKernel::validate(const ITensorInfo *c, const ITensorInfo *x, const ITensorInfo *y, const ITensorInfo *output)
+Status
+CLSelectKernel::validate(const ITensorInfo *c, const ITensorInfo *x, const ITensorInfo *y, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(c, x, y, output));
return Status{};
@@ -142,7 +148,7 @@
Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
Window slice = collapsed.first_slice_window_3D();
- if(!_has_same_rank)
+ if (!_has_same_rank)
{
Window vector_slice = window.first_slice_window_1D();
vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0));
@@ -153,7 +159,7 @@
do
{
unsigned int idx = _has_same_rank ? 0 : num_arguments_per_1D_tensor();
- if(_has_same_rank)
+ if (_has_same_rank)
{
add_3D_tensor_argument(idx, _c, slice);
}
@@ -162,7 +168,6 @@
add_3D_tensor_argument(idx, _output, slice);
enqueue(queue, *this, slice, lws_hint());
- }
- while(collapsed.slide_window_slice_3D(slice));
+ } while (collapsed.slide_window_slice_3D(slice));
}
} // namespace arm_compute