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, 8 insertions, 6 deletions

diff --git a/src/runtime/OMP/OMPScheduler.cpp b/src/runtime/OMP/OMPScheduler.cpp
index b0a553212a..d4d6193fce 100644
--- a/src/runtime/OMP/OMPScheduler.cpp
+++ b/src/runtime/OMP/OMPScheduler.cpp
@@ -27,6 +27,7 @@
 #include "arm_compute/core/Error.h"
 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/Utils.h"
+
 #include <omp.h>
 
 namespace arm_compute
@@ -63,7 +64,7 @@ void OMPScheduler::schedule_op(ICPPKernel *kernel, const Hints &hints, const Win
     const unsigned int num_iterations = max_window.num_iterations(hints.split_dimension());
     const unsigned int num_threads    = std::min(num_iterations, _num_threads);
 
-    if(!kernel->is_parallelisable() || num_threads == 1)
+    if (!kernel->is_parallelisable() || num_threads == 1)
     {
         ThreadInfo info;
         info.cpu_info = &cpu_info();
@@ -73,10 +74,10 @@ void OMPScheduler::schedule_op(ICPPKernel *kernel, const Hints &hints, const Win
     {
         const unsigned int                num_windows = num_threads;
         std::vector<IScheduler::Workload> workloads(num_windows);
-        for(unsigned int t = 0; t < num_windows; t++)
+        for (unsigned int t = 0; t < num_windows; t++)
         {
             //Capture 't' by copy, all the other variables by reference:
-            workloads[t] = [t, &hints, &max_window, &num_windows, &kernel, &tensors](const ThreadInfo & info)
+            workloads[t] = [t, &hints, &max_window, &num_windows, &kernel, &tensors](const ThreadInfo &info)
             {
                 Window win = max_window.split_window(hints.split_dimension(), t, num_windows);
                 win.validate();
@@ -92,7 +93,7 @@ void OMPScheduler::run_workloads(std::vector<arm_compute::IScheduler::Workload>
     const unsigned int amount_of_work     = static_cast<unsigned int>(workloads.size());
     const unsigned int num_threads_to_use = std::min(_num_threads, amount_of_work);
 
-    if(num_threads_to_use < 1)
+    if (num_threads_to_use < 1)
     {
         return;
     }
@@ -100,8 +101,9 @@ void OMPScheduler::run_workloads(std::vector<arm_compute::IScheduler::Workload>
     ThreadInfo info;
     info.cpu_info    = &cpu_info();
     info.num_threads = num_threads_to_use;
-    #pragma omp parallel for firstprivate(info) num_threads(num_threads_to_use) default(shared) proc_bind(close) schedule(static, 1)
-    for(unsigned int wid = 0; wid < amount_of_work; ++wid)
+#pragma omp parallel for firstprivate(info) num_threads(num_threads_to_use) default(shared) proc_bind(close) \
+    schedule(static, 1)
+    for (unsigned int wid = 0; wid < amount_of_work; ++wid)
     {
         const int tid = omp_get_thread_num();