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, 11 insertions, 10 deletions

diff --git a/src/runtime/CL/functions/CLStackLayer.cpp b/src/runtime/CL/functions/CLStackLayer.cpp
index 6a335da00c..c15496fc31 100644
--- a/src/runtime/CL/functions/CLStackLayer.cpp
+++ b/src/runtime/CL/functions/CLStackLayer.cpp
@@ -21,8 +21,6 @@
  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  * SOFTWARE.
  */
-#include <complex>
-
 #include "arm_compute/runtime/CL/functions/CLStackLayer.h"
 
 #include "arm_compute/core/CL/ICLTensor.h"
@@ -32,16 +30,16 @@
 #include "arm_compute/core/Types.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "arm_compute/runtime/CL/CLScheduler.h"
-#include "src/core/CL/kernels/CLStackLayerKernel.h"
 
 #include "src/common/utils/Log.h"
+#include "src/core/CL/kernels/CLStackLayerKernel.h"
+
+#include <complex>
 
 namespace arm_compute
 {
 CLStackLayer::CLStackLayer() // NOLINT
-    : _input(),
-      _stack_kernels(),
-      _num_inputs(0)
+    : _input(), _stack_kernels(), _num_inputs(0)
 {
 }
 
@@ -52,7 +50,10 @@ void CLStackLayer::configure(const std::vector<ICLTensor *> &input, int axis, IC
     configure(CLKernelLibrary::get().get_compile_context(), input, axis, output);
 }
 
-void CLStackLayer::configure(const CLCompileContext &compile_context, const std::vector<ICLTensor *> &input, int axis, ICLTensor *output)
+void CLStackLayer::configure(const CLCompileContext         &compile_context,
+                             const std::vector<ICLTensor *> &input,
+                             int                             axis,
+                             ICLTensor                      *output)
 {
     ARM_COMPUTE_LOG_PARAMS(input, axis, output);
     _num_inputs = input.size();
@@ -61,7 +62,7 @@ void CLStackLayer::configure(const CLCompileContext &compile_context, const std:
     // Wrap around negative values
     const unsigned int axis_u = wrap_around(axis, static_cast<int>(input[0]->info()->num_dimensions() + 1));
 
-    for(unsigned int i = 0; i < _num_inputs; i++)
+    for (unsigned int i = 0; i < _num_inputs; i++)
     {
         _stack_kernels.emplace_back(std::make_unique<CLStackLayerKernel>());
         _stack_kernels.back()->configure(compile_context, input[i], axis_u, i, _num_inputs, output);
@@ -79,7 +80,7 @@ Status CLStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis,
 
     const unsigned int num_inputs = input.size();
 
-    for(unsigned int i = 0; i < num_inputs; i++)
+    for (unsigned int i = 0; i < num_inputs; i++)
     {
         // All the tensors must have the same rank
         ARM_COMPUTE_RETURN_ERROR_ON(input[i]->num_dimensions() != rank);
@@ -92,7 +93,7 @@ Status CLStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis,
 
 void CLStackLayer::run()
 {
-    for(unsigned i = 0; i < _num_inputs; i++)
+    for (unsigned i = 0; i < _num_inputs; i++)
     {
         CLScheduler::get().enqueue(*_stack_kernels[i], false);
     }