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/src/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp b/src/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp
index 6399ebb..fb1b70b 100644
--- a/src/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp
+++ b/src/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp
@@ -26,11 +26,12 @@
 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/core/Validate.h"
-#include "src/core/CPP/Validate.h"
-#include "src/core/NEON/NEFixedPoint.h"
+
 #include "src/core/common/Registrars.h"
+#include "src/core/CPP/Validate.h"
 #include "src/core/helpers/AutoConfiguration.h"
 #include "src/core/helpers/WindowHelpers.h"
+#include "src/core/NEON/NEFixedPoint.h"
 #include "src/cpu/kernels/gemm_matrix_add/list.h"
 namespace arm_compute
 {
@@ -40,24 +41,12 @@
 {
 namespace
 {
-static const std::vector<CpuGemmMatrixAdditionKernel::GemmMatrixAddKernel> available_kernels =
-{
-    {
-        "neon_fp32_gemm_matrix_add",
-        [](const DataTypeISASelectorData & data)
-        {
-            return (data.dt == DataType::F32);
-        },
-        REGISTER_FP32_NEON(neon_fp32_gemm_matrix_add)
-    },
-    {
-        "neon_fp16_gemm_matrix_add",
-        [](const DataTypeISASelectorData & data)
-        {
-            return (data.dt == DataType::F16) && data.isa.fp16;
-        },
-        REGISTER_FP16_NEON(neon_fp16_gemm_matrix_add)
-    },
+static const std::vector<CpuGemmMatrixAdditionKernel::GemmMatrixAddKernel> available_kernels = {
+    {"neon_fp32_gemm_matrix_add", [](const DataTypeISASelectorData &data) { return (data.dt == DataType::F32); },
+     REGISTER_FP32_NEON(neon_fp32_gemm_matrix_add)},
+    {"neon_fp16_gemm_matrix_add",
+     [](const DataTypeISASelectorData &data) { return (data.dt == DataType::F16) && data.isa.fp16; },
+     REGISTER_FP16_NEON(neon_fp16_gemm_matrix_add)},
 
 };
 } // namespace
@@ -71,7 +60,8 @@
     ARM_COMPUTE_ERROR_THROW_ON(CpuGemmMatrixAdditionKernel::validate(src, dst, beta));
 
     _beta         = beta;
-    const auto uk = CpuGemmMatrixAdditionKernel::get_implementation(DataTypeISASelectorData{ src->data_type(), CPUInfo::get().get_isa() });
+    const auto uk = CpuGemmMatrixAdditionKernel::get_implementation(
+        DataTypeISASelectorData{src->data_type(), CPUInfo::get().get_isa()});
     ARM_COMPUTE_ERROR_ON_NULLPTR(uk);
     _func = uk->ukernel;
     // Configure kernel window
@@ -87,7 +77,7 @@
     ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
 
-    if(dst->total_size() > 0)
+    if (dst->total_size() > 0)
     {
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
@@ -105,7 +95,7 @@
     const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC);
     ITensor       *dst = tensors.get_tensor(TensorType::ACL_DST);
 
-    if(_beta != 0.0f)
+    if (_beta != 0.0f)
     {
         (*_func)(src, dst, window, _beta);
     }
@@ -116,7 +106,8 @@
     return "CpuGemmMatrixAdditionKernel";
 }
 
-const std::vector<CpuGemmMatrixAdditionKernel::GemmMatrixAddKernel> &CpuGemmMatrixAdditionKernel::get_available_kernels()
+const std::vector<CpuGemmMatrixAdditionKernel::GemmMatrixAddKernel> &
+CpuGemmMatrixAdditionKernel::get_available_kernels()
 {
     return available_kernels;
 }