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, 14 insertions, 6 deletions

diff --git a/src/runtime/CL/functions/CLNormalizePlanarYUVLayer.cpp b/src/runtime/CL/functions/CLNormalizePlanarYUVLayer.cpp
index 63c9164a94..939c95bd45 100644
--- a/src/runtime/CL/functions/CLNormalizePlanarYUVLayer.cpp
+++ b/src/runtime/CL/functions/CLNormalizePlanarYUVLayer.cpp
@@ -24,20 +24,26 @@
 
 #include "arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h"
 
-#include "src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h"
-
 #include "src/common/utils/Log.h"
+#include "src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h"
 
 #include <utility>
 
 namespace arm_compute
 {
-void CLNormalizePlanarYUVLayer::configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std)
+void CLNormalizePlanarYUVLayer::configure(const ICLTensor *input,
+                                          ICLTensor       *output,
+                                          const ICLTensor *mean,
+                                          const ICLTensor *std)
 {
     configure(CLKernelLibrary::get().get_compile_context(), input, output, mean, std);
 }
 
-void CLNormalizePlanarYUVLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std)
+void CLNormalizePlanarYUVLayer::configure(const CLCompileContext &compile_context,
+                                          const ICLTensor        *input,
+                                          ICLTensor              *output,
+                                          const ICLTensor        *mean,
+                                          const ICLTensor        *std)
 {
     ARM_COMPUTE_LOG_PARAMS(input, output, mean, std);
     auto k = std::make_unique<CLNormalizePlanarYUVLayerKernel>();
@@ -45,8 +51,10 @@ void CLNormalizePlanarYUVLayer::configure(const CLCompileContext &compile_contex
     _kernel = std::move(k);
 }
 
-Status CLNormalizePlanarYUVLayer::validate(const ITensorInfo *input, const ITensorInfo *output,
-                                           const ITensorInfo *mean, const ITensorInfo *std)
+Status CLNormalizePlanarYUVLayer::validate(const ITensorInfo *input,
+                                           const ITensorInfo *output,
+                                           const ITensorInfo *mean,
+                                           const ITensorInfo *std)
 {
     return CLNormalizePlanarYUVLayerKernel::validate(input, output, mean, std);
 }