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, 13 insertions, 7 deletions

diff --git a/src/gpu/cl/operators/ClActivation.cpp b/src/gpu/cl/operators/ClActivation.cpp
index 74a818d738..66877ebcec 100644
--- a/src/gpu/cl/operators/ClActivation.cpp
+++ b/src/gpu/cl/operators/ClActivation.cpp
@@ -23,19 +23,21 @@
  */
 #include "src/gpu/cl/operators/ClActivation.h"
 
-#include "src/gpu/cl/ClCompileContext.h"
-#include "src/gpu/cl/kernels/ClActivationKernel.h"
-
 #include "src/common/IOperator.h"
 #include "src/common/utils/LegacySupport.h"
 #include "src/common/utils/Log.h"
+#include "src/gpu/cl/ClCompileContext.h"
 #include "src/gpu/cl/ClContext.h"
+#include "src/gpu/cl/kernels/ClActivationKernel.h"
 
 namespace arm_compute
 {
 namespace opencl
 {
-void ClActivation::configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const ActivationLayerInfo &act_info)
+void ClActivation::configure(const ClCompileContext    &compile_context,
+                             ITensorInfo               *src,
+                             ITensorInfo               *dst,
+                             const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_LOG_PARAMS(src, dst, act_info);
     auto k = std::make_unique<kernels::ClActivationKernel>();
@@ -53,13 +55,17 @@ namespace gpu
 {
 namespace opencl
 {
-std::tuple<IOperator *, StatusCode> ClContext::create_activation(const AclTensorDescriptor &src, const AclTensorDescriptor &dst, const AclActivationDescriptor &act, bool is_validate)
+std::tuple<IOperator *, StatusCode> ClContext::create_activation(const AclTensorDescriptor     &src,
+                                                                 const AclTensorDescriptor     &dst,
+                                                                 const AclActivationDescriptor &act,
+                                                                 bool                           is_validate)
 {
     TensorInfo src_info = detail::convert_to_legacy_tensor_info(src);
     TensorInfo dst_info = detail::convert_to_legacy_tensor_info(dst);
     auto       info     = detail::convert_to_activation_info(act);
 
-    if(is_validate && !bool(arm_compute::opencl::ClActivation::validate(&src_info.set_is_resizable(false), &dst_info.set_is_resizable(false), info)))
+    if (is_validate && !bool(arm_compute::opencl::ClActivation::validate(&src_info.set_is_resizable(false),
+                                                                         &dst_info.set_is_resizable(false), info)))
     {
         return std::make_tuple(nullptr, StatusCode::UnsupportedConfig);
     }
@@ -68,7 +74,7 @@ std::tuple<IOperator *, StatusCode> ClContext::create_activation(const AclTensor
     act_op->configure(CLKernelLibrary::get().get_compile_context(), &src_info, &dst_info, info);
 
     auto op = new arm_compute::IOperator(static_cast<IContext *>(this));
-    if(op == nullptr)
+    if (op == nullptr)
     {
         ARM_COMPUTE_LOG_ERROR_ACL("Couldn't allocate internal resources");
         return std::make_tuple(nullptr, StatusCode::OutOfMemory);