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, 12 insertions, 4 deletions

diff --git a/src/cpu/kernels/fuse_batch_normalization/generic/fp16.cpp b/src/cpu/kernels/fuse_batch_normalization/generic/fp16.cpp
index a29ee762fc..2821af32ce 100644
--- a/src/cpu/kernels/fuse_batch_normalization/generic/fp16.cpp
+++ b/src/cpu/kernels/fuse_batch_normalization/generic/fp16.cpp
@@ -29,11 +29,19 @@ namespace arm_compute
 {
 namespace cpu
 {
-void fused_batch_normalization_conv_f16(const ITensor *conv_weights, const ITensor *conv_bias, ITensor *fused_weights, ITensor *fused_bias,
-                                        const ITensor *bn_mean, const ITensor *bn_var, const ITensor *bn_beta, const ITensor *bn_gamma, float epsilon, const Window &window)
+void fused_batch_normalization_conv_f16(const ITensor *conv_weights,
+                                        const ITensor *conv_bias,
+                                        ITensor       *fused_weights,
+                                        ITensor       *fused_bias,
+                                        const ITensor *bn_mean,
+                                        const ITensor *bn_var,
+                                        const ITensor *bn_beta,
+                                        const ITensor *bn_gamma,
+                                        float          epsilon,
+                                        const Window  &window)
 {
-    return fused_batch_normalization_conv<float16_t>(conv_weights, conv_bias, fused_weights, fused_bias,
-                                                     bn_mean, bn_var, bn_beta, bn_gamma, epsilon, window);
+    return fused_batch_normalization_conv<float16_t>(conv_weights, conv_bias, fused_weights, fused_bias, bn_mean,
+                                                     bn_var, bn_beta, bn_gamma, epsilon, window);
 }
 } // namespace cpu
 } // namespace arm_compute