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, 3 insertions, 4 deletions

diff --git a/src/gpu/cl/ClTensor.cpp b/src/gpu/cl/ClTensor.cpp
index 0df07813e3..27422a4130 100644
--- a/src/gpu/cl/ClTensor.cpp
+++ b/src/gpu/cl/ClTensor.cpp
@@ -31,8 +31,7 @@ namespace gpu
 {
 namespace opencl
 {
-ClTensor::ClTensor(IContext *ctx, const AclTensorDescriptor &desc)
-    : ITensorV2(ctx), _legacy_tensor()
+ClTensor::ClTensor(IContext *ctx, const AclTensorDescriptor &desc) : ITensorV2(ctx), _legacy_tensor()
 {
     ARM_COMPUTE_ASSERT((ctx != nullptr) && (ctx->type() == Target::GpuOcl));
     _legacy_tensor = std::make_unique<CLTensor>();
@@ -43,7 +42,7 @@ void *ClTensor::map()
 {
     ARM_COMPUTE_ASSERT(_legacy_tensor.get() != nullptr);
 
-    if(_legacy_tensor == nullptr)
+    if (_legacy_tensor == nullptr)
     {
         ARM_COMPUTE_LOG_ERROR_ACL("[ClTensor:map]: Backing tensor does not exist!");
         return nullptr;
@@ -57,7 +56,7 @@ StatusCode ClTensor::unmap()
 {
     ARM_COMPUTE_ASSERT(_legacy_tensor.get() != nullptr);
 
-    if(_legacy_tensor == nullptr)
+    if (_legacy_tensor == nullptr)
     {
         ARM_COMPUTE_LOG_ERROR_ACL("[ClTensor:unmap]: Backing tensor does not exist!");
         return StatusCode::RuntimeError;