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/gpu/cl/kernels/ClPermuteKernel.cpp b/src/gpu/cl/kernels/ClPermuteKernel.cpp
index 8d46551..a475578 100644
--- a/src/gpu/cl/kernels/ClPermuteKernel.cpp
+++ b/src/gpu/cl/kernels/ClPermuteKernel.cpp
@@ -29,8 +29,9 @@
 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/Validate.h"
+
 #include "src/core/CL/CLValidate.h"
 #include "src/core/helpers/AutoConfiguration.h"
 #include "src/core/helpers/WindowHelpers.h"
@@ -60,13 +61,13 @@
                                     "Permutation up to 4-D src tensor is supported");
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(perm.num_dimensions() < 1 || perm.num_dimensions() > 4,
                                     "Permutation vector size should be less than or equal to 4");
-    for(const auto &p : perm)
+    for (const auto &p : perm)
     {
         ARM_COMPUTE_RETURN_ERROR_ON_MSG(p >= perm.num_dimensions(), "Permutation vector has invalid values");
     }
 
     // Validate configured dst
-    if(dst->total_size() != 0)
+    if (dst->total_size() != 0)
     {
         const TensorShape dst_shape = misc::shape_calculator::compute_permutation_output_shape(*src, perm);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), dst_shape);
@@ -82,10 +83,13 @@
     _type = CLKernelType::ELEMENTWISE;
 }
 
-void ClPermuteKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const PermutationVector &perm)
+void ClPermuteKernel::configure(const CLCompileContext  &compile_context,
+                                const ITensorInfo       *src,
+                                ITensorInfo             *dst,
+                                const PermutationVector &perm)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
-    auto              padding_info = get_padding_info({ src, dst });
+    auto              padding_info = get_padding_info({src, dst});
     const TensorShape dst_shape    = get_dst_shape(src, perm);
     // Output auto initialization if not yet initialized
     auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape));
@@ -96,7 +100,8 @@
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(src->data_type())));
+    build_opts.add_option("-DDATA_TYPE=" +
+                          get_cl_unsigned_type_from_element_size(data_size_from_type(src->data_type())));
     build_opts.add_option("-DDEPTH_IN=" + support::cpp11::to_string(src->dimension(2)));
     // New positions of  width(W), height(H), channel(C) and batch(D) based on permutation vector
     build_opts.add_option("-DP1=" + support::cpp11::to_string((_perm.num_dimensions() >= 1) ? perm[0] : 0));
@@ -126,8 +131,9 @@
     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
     ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
 
-    const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
-    auto       dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+    const auto src =
+        utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+    auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
 
     Window slice_in = window.first_slice_window_4D().collapse(ICLKernel::window(), 2, 4);
 
@@ -144,9 +150,8 @@
         add_4D_tensor_argument(idx, src, slice_in);
         add_4D_tensor_argument(idx, dst, slice_out);
         enqueue(queue, *this, slice_in, lws_hint());
-    }
-    while(window.slide_window_slice_4D(slice_in) && window.slide_window_slice_4D(slice_out));
+    } while (window.slide_window_slice_4D(slice_in) && window.slide_window_slice_4D(slice_out));
 }
 } // namespace kernels
 } // namespace opencl
-} // namespace arm_compute
\ No newline at end of file
+} // namespace arm_compute