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>

1 files changed, 6 insertions, 2 deletions

diff --git a/arm_compute/core/CL/CLHelpers.h b/arm_compute/core/CL/CLHelpers.h
index 20d93df5a1..1a639e47f9 100644
--- a/arm_compute/core/CL/CLHelpers.h
+++ b/arm_compute/core/CL/CLHelpers.h
@@ -179,7 +179,9 @@ bool dot8_acc_supported(const cl::Device &device);
  *
  * @return True if the configuration is supported
  */
-bool cl_winograd_convolution_layer_supported(const Size2D &output_tile, const Size2D &kernel_size, DataLayout data_layout);
+bool cl_winograd_convolution_layer_supported(const Size2D &output_tile,
+                                             const Size2D &kernel_size,
+                                             DataLayout    data_layout);
 
 /** Helper function to get the preferred native vector width size for built-in scalar types that can be put into vectors
  *
@@ -215,7 +217,9 @@ bool image2d_from_buffer_supported(const cl::Device &device);
  *
  * @return An opencl kernel
  */
-cl::Kernel create_kernel(const CLCompileContext &ctx, const std::string &kernel_name, const std::set<std::string> &build_opts = std::set<std::string>());
+cl::Kernel create_kernel(const CLCompileContext      &ctx,
+                         const std::string           &kernel_name,
+                         const std::set<std::string> &build_opts = std::set<std::string>());
 
 /** Creates a suitable LWS hint object for parallel implementations. Sets the number of WG based on the input size.
  *  If input width is smaller than 128 we can use fewer threads than 8.