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, 28 insertions, 14 deletions

diff --git a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
index 6612845d86..f5b8b57dac 100644
--- a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
+++ b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
@@ -28,6 +28,7 @@
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/runtime/NEON/NEScheduler.h"
+
 #include "src/common/utils/Log.h"
 #include "src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h"
 
@@ -35,29 +36,42 @@ namespace arm_compute
 {
 NEFuseBatchNormalization::~NEFuseBatchNormalization() = default;
 
-NEFuseBatchNormalization::NEFuseBatchNormalization()
-    : _fuse_bn_kernel()
+NEFuseBatchNormalization::NEFuseBatchNormalization() : _fuse_bn_kernel()
 {
 }
 
-void NEFuseBatchNormalization::configure(const ITensor *input_weights, const ITensor *bn_mean, const ITensor *bn_var,
-                                         ITensor *fused_weights, ITensor *fused_bias,
-                                         const ITensor *input_bias, const ITensor *bn_beta, const ITensor *bn_gamma,
-                                         float epsilon, FuseBatchNormalizationType fbn_type)
+void NEFuseBatchNormalization::configure(const ITensor             *input_weights,
+                                         const ITensor             *bn_mean,
+                                         const ITensor             *bn_var,
+                                         ITensor                   *fused_weights,
+                                         ITensor                   *fused_bias,
+                                         const ITensor             *input_bias,
+                                         const ITensor             *bn_beta,
+                                         const ITensor             *bn_gamma,
+                                         float                      epsilon,
+                                         FuseBatchNormalizationType fbn_type)
 {
-    ARM_COMPUTE_LOG_PARAMS(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias,
-                           bn_beta, bn_gamma, epsilon, fbn_type);
+    ARM_COMPUTE_LOG_PARAMS(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma,
+                           epsilon, fbn_type);
 
     _fuse_bn_kernel = std::make_unique<NEFuseBatchNormalizationKernel>();
-    _fuse_bn_kernel->configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
+    _fuse_bn_kernel->configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma,
+                               epsilon, fbn_type);
 }
 
-Status NEFuseBatchNormalization::validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
-                                          const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
-                                          const ITensorInfo *input_bias, const ITensorInfo *bn_beta, const ITensorInfo *bn_gamma,
-                                          float epsilon, FuseBatchNormalizationType fbn_type)
+Status NEFuseBatchNormalization::validate(const ITensorInfo         *input_weights,
+                                          const ITensorInfo         *bn_mean,
+                                          const ITensorInfo         *bn_var,
+                                          const ITensorInfo         *fused_weights,
+                                          const ITensorInfo         *fused_bias,
+                                          const ITensorInfo         *input_bias,
+                                          const ITensorInfo         *bn_beta,
+                                          const ITensorInfo         *bn_gamma,
+                                          float                      epsilon,
+                                          FuseBatchNormalizationType fbn_type)
 {
-    return NEFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
+    return NEFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias,
+                                                    input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
 }
 
 void NEFuseBatchNormalization::run()