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, 40 insertions, 17 deletions

diff --git a/src/runtime/CL/functions/CLFuseBatchNormalization.cpp b/src/runtime/CL/functions/CLFuseBatchNormalization.cpp
index 7379e9d9fe..e4fbf78e13 100644
--- a/src/runtime/CL/functions/CLFuseBatchNormalization.cpp
+++ b/src/runtime/CL/functions/CLFuseBatchNormalization.cpp
@@ -28,9 +28,9 @@
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/runtime/CL/CLScheduler.h"
-#include "src/core/CL/kernels/CLFuseBatchNormalizationKernel.h"
 
 #include "src/common/utils/Log.h"
+#include "src/core/CL/kernels/CLFuseBatchNormalizationKernel.h"
 
 namespace arm_compute
 {
@@ -41,29 +41,52 @@ CLFuseBatchNormalization::CLFuseBatchNormalization()
 
 CLFuseBatchNormalization::~CLFuseBatchNormalization() = default;
 
-void CLFuseBatchNormalization::configure(const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var,
-                                         ICLTensor *fused_weights, ICLTensor *fused_bias,
-                                         const ICLTensor *input_bias, const ICLTensor *bn_beta, const ICLTensor *bn_gamma,
-                                         float epsilon, FuseBatchNormalizationType fbn_type)
+void CLFuseBatchNormalization::configure(const ICLTensor           *input_weights,
+                                         const ICLTensor           *bn_mean,
+                                         const ICLTensor           *bn_var,
+                                         ICLTensor                 *fused_weights,
+                                         ICLTensor                 *fused_bias,
+                                         const ICLTensor           *input_bias,
+                                         const ICLTensor           *bn_beta,
+                                         const ICLTensor           *bn_gamma,
+                                         float                      epsilon,
+                                         FuseBatchNormalizationType fbn_type)
 {
-    configure(CLKernelLibrary::get().get_compile_context(), input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
+    configure(CLKernelLibrary::get().get_compile_context(), input_weights, bn_mean, bn_var, fused_weights, fused_bias,
+              input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
 }
 
-void CLFuseBatchNormalization::configure(const CLCompileContext &compile_context, const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var,
-                                         ICLTensor *fused_weights, ICLTensor *fused_bias,
-                                         const ICLTensor *input_bias, const ICLTensor *bn_beta, const ICLTensor *bn_gamma,
-                                         float epsilon, FuseBatchNormalizationType fbn_type)
+void CLFuseBatchNormalization::configure(const CLCompileContext    &compile_context,
+                                         const ICLTensor           *input_weights,
+                                         const ICLTensor           *bn_mean,
+                                         const ICLTensor           *bn_var,
+                                         ICLTensor                 *fused_weights,
+                                         ICLTensor                 *fused_bias,
+                                         const ICLTensor           *input_bias,
+                                         const ICLTensor           *bn_beta,
+                                         const ICLTensor           *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);
-    _fuse_bn_kernel->configure(compile_context, 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->configure(compile_context, input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias,
+                               bn_beta, bn_gamma, epsilon, fbn_type);
 }
 
-Status CLFuseBatchNormalization::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 CLFuseBatchNormalization::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 CLFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
+    return CLFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias,
+                                                    input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
 }
 
 void CLFuseBatchNormalization::run()