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, 24 insertions, 19 deletions

diff --git a/src/cpu/kernels/CpuGemmTranspose1xWKernel.cpp b/src/cpu/kernels/CpuGemmTranspose1xWKernel.cpp
index 62d5d5f5e9..c47746bc4b 100644
--- a/src/cpu/kernels/CpuGemmTranspose1xWKernel.cpp
+++ b/src/cpu/kernels/CpuGemmTranspose1xWKernel.cpp
@@ -24,9 +24,10 @@
 #include "src/cpu/kernels/CpuGemmTranspose1xWKernel.h"
 
 #include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/core/Window.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
 #include "src/core/helpers/AutoConfiguration.h"
 #include "src/core/helpers/WindowHelpers.h"
 
@@ -63,9 +64,10 @@ Status CpuGemmTranspose1xWKernel::validate(const ITensorInfo *src, const ITensor
     ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
     //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions.
 
-    if(dst->total_size() != 0)
+    if (dst->total_size() != 0)
     {
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), compute_transpose1xW_with_element_size_shape(*src));
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(),
+                                                           compute_transpose1xW_with_element_size_shape(*src));
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst);
     }
@@ -107,25 +109,28 @@ void CpuGemmTranspose1xWKernel::run_op(ITensorPack &tensors, const Window &windo
     const size_t out_stride   = dst->info()->strides_in_bytes()[1];
     const size_t vector_size  = 16 / element_size;
 
-    execute_window_loop(window, [&](const Coordinates & id)
-    {
-        const uint8_t *in_ptr  = in.ptr();
-        uint8_t *const out_ptr = out.ptr() + (id.y() * vector_size) * element_size + (id.x() / vector_size) * out_stride;
-
-        for(size_t k = 0; k < vector_size; ++k)
+    execute_window_loop(
+        window,
+        [&](const Coordinates &id)
         {
-            // If the src width is not multiple of W, we fill the reference with 0s
-            if((id.x() + k) >= in_width)
-            {
-                std::memset(out_ptr + k * element_size, 0, element_size);
-            }
-            else
+            const uint8_t *in_ptr = in.ptr();
+            uint8_t *const out_ptr =
+                out.ptr() + (id.y() * vector_size) * element_size + (id.x() / vector_size) * out_stride;
+
+            for (size_t k = 0; k < vector_size; ++k)
             {
-                std::memcpy(out_ptr + k * element_size, in_ptr + k * element_size, element_size);
+                // If the src width is not multiple of W, we fill the reference with 0s
+                if ((id.x() + k) >= in_width)
+                {
+                    std::memset(out_ptr + k * element_size, 0, element_size);
+                }
+                else
+                {
+                    std::memcpy(out_ptr + k * element_size, in_ptr + k * element_size, element_size);
+                }
             }
-        }
-    },
-    in, out);
+        },
+        in, out);
 }
 
 const char *CpuGemmTranspose1xWKernel::name() const