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>
diff --git a/examples/cl_sgemm.cpp b/examples/cl_sgemm.cpp
index 27af228..68955c5 100644
--- a/examples/cl_sgemm.cpp
+++ b/examples/cl_sgemm.cpp
@@ -29,6 +29,7 @@
 #include "arm_compute/runtime/CL/CLScheduler.h"
 #include "arm_compute/runtime/CL/CLTuner.h"
 #include "arm_compute/runtime/CL/functions/CLGEMM.h"
+
 #include "utils/Utils.h"
 
 #include <cstdlib>
@@ -50,15 +51,16 @@
         CLScheduler::get().default_init(&tuner);
 
         std::ifstream stream;
-        if(argc > 1)
+        if (argc > 1)
         {
             stream.open(argv[1], std::fstream::in);
         }
 
-        if(argc < 3 || (argc < 4 && stream.bad()))
+        if (argc < 3 || (argc < 4 && stream.bad()))
         {
             // Print help
-            std::cout << "Usage: 1) ./build/cl_sgemm input_matrix_1.npy input_matrix_2.npy [input_matrix_3.npy] [alpha = 1] [beta = 0]\n";
+            std::cout << "Usage: 1) ./build/cl_sgemm input_matrix_1.npy input_matrix_2.npy [input_matrix_3.npy] [alpha "
+                         "= 1] [beta = 0]\n";
             std::cout << "       2) ./build/cl_sgemm M N K [alpha = 1.0f] [beta = 0.0f]\n\n";
             std::cout << "Too few or no input_matrices provided. Using M=7, N=3, K=5, alpha=1.0f and beta=0.0f\n\n";
 
@@ -68,29 +70,29 @@
         }
         else
         {
-            if(stream.good()) /* case file1.npy file2.npy [file3.npy] [alpha = 1.0f] [beta = 0.0f] */
+            if (stream.good()) /* case file1.npy file2.npy [file3.npy] [alpha = 1.0f] [beta = 0.0f] */
             {
                 npy0.open(argv[1]);
                 npy0.init_tensor(src0, DataType::F32);
                 npy1.open(argv[2]);
                 npy1.init_tensor(src1, DataType::F32);
 
-                if(argc > 3)
+                if (argc > 3)
                 {
                     stream.close();
                     stream.clear();
                     stream.open(argv[3], std::fstream::in);
-                    if(stream.good()) /* case with third file */
+                    if (stream.good()) /* case with third file */
                     {
                         npy2.open(argv[3]);
                         npy2.init_tensor(src2, DataType::F32);
 
-                        if(argc > 4)
+                        if (argc > 4)
                         {
                             // Convert string to float
                             alpha = strtof(argv[4], nullptr);
 
-                            if(argc > 5)
+                            if (argc > 5)
                             {
                                 // Convert string to float
                                 beta = strtof(argv[5], nullptr);
@@ -101,7 +103,7 @@
                     {
                         alpha = strtof(argv[3], nullptr);
 
-                        if(argc > 4)
+                        if (argc > 4)
                         {
                             beta = strtof(argv[4], nullptr);
                         }
@@ -118,11 +120,11 @@
                 src1.allocator()->init(TensorInfo(TensorShape(N, K), 1, DataType::F32));
                 src2.allocator()->init(TensorInfo(TensorShape(N, M), 1, DataType::F32));
 
-                if(argc > 4)
+                if (argc > 4)
                 {
                     alpha = strtof(argv[4], nullptr);
 
-                    if(argc > 5)
+                    if (argc > 5)
                     {
                         beta = strtof(argv[5], nullptr);
                     }
@@ -141,7 +143,7 @@
         dst.allocator()->allocate();
 
         // Fill the input images with either the data provided or random data
-        if(npy0.is_open())
+        if (npy0.is_open())
         {
             npy0.fill_tensor(src0);
             npy1.fill_tensor(src1);
@@ -149,7 +151,7 @@
             output_filename = "sgemm_out.npy";
             is_fortran      = npy0.is_fortran();
 
-            if(npy2.is_open())
+            if (npy2.is_open())
             {
                 src2.allocator()->allocate();
                 npy2.fill_tensor(src2);
@@ -179,7 +181,7 @@
     }
     void do_teardown() override
     {
-        if(!output_filename.empty()) /* Save to .npy file */
+        if (!output_filename.empty()) /* Save to .npy file */
         {
             save_to_npy(dst, output_filename, is_fortran);
         }