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, 15 insertions, 15 deletions

diff --git a/src/runtime/NEON/functions/NEConcatenateLayer.cpp b/src/runtime/NEON/functions/NEConcatenateLayer.cpp
index ceb697aad6..59a0892f1f 100644
--- a/src/runtime/NEON/functions/NEConcatenateLayer.cpp
+++ b/src/runtime/NEON/functions/NEConcatenateLayer.cpp
@@ -23,33 +23,31 @@
  */
 #include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
 
-#include "src/cpu/operators/CpuConcatenate.h"
-
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "arm_compute/runtime/NEON/NEScheduler.h"
-
 #include "arm_compute/core/Error.h"
 #include "arm_compute/core/ITensor.h"
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
 #include "src/core/helpers/AutoConfiguration.h"
+#include "src/cpu/operators/CpuConcatenate.h"
 
 namespace arm_compute
 {
 struct NEConcatenateLayer::Impl
 {
     std::vector<const ITensor *>         srcs{};
-    ITensor                             *dst{ nullptr };
-    unsigned int                         num_inputs{ 0 };
-    unsigned int                         axis{ 0 };
-    std::unique_ptr<cpu::CpuConcatenate> op{ nullptr };
+    ITensor                             *dst{nullptr};
+    unsigned int                         num_inputs{0};
+    unsigned int                         axis{0};
+    std::unique_ptr<cpu::CpuConcatenate> op{nullptr};
 };
 
-NEConcatenateLayer::NEConcatenateLayer()
-    : _impl(std::make_unique<Impl>())
+NEConcatenateLayer::NEConcatenateLayer() : _impl(std::make_unique<Impl>())
 {
 }
-NEConcatenateLayer::NEConcatenateLayer(NEConcatenateLayer &&) = default;
+NEConcatenateLayer::NEConcatenateLayer(NEConcatenateLayer &&)            = default;
 NEConcatenateLayer &NEConcatenateLayer::operator=(NEConcatenateLayer &&) = default;
 NEConcatenateLayer::~NEConcatenateLayer()                                = default;
 
@@ -64,7 +62,7 @@ void NEConcatenateLayer::configure(std::vector<const ITensor *> inputs_vector, I
     _impl->op         = std::make_unique<cpu::CpuConcatenate>();
 
     std::vector<const ITensorInfo *> inputs_vector_info;
-    for(unsigned int i = 0; i < inputs_vector.size(); ++i)
+    for (unsigned int i = 0; i < inputs_vector.size(); ++i)
     {
         ARM_COMPUTE_ERROR_ON_NULLPTR(inputs_vector.at(i));
         inputs_vector_info.emplace_back(inputs_vector.at(i)->info());
@@ -72,7 +70,9 @@ void NEConcatenateLayer::configure(std::vector<const ITensor *> inputs_vector, I
     _impl->op->configure(inputs_vector_info, _impl->dst->info(), axis);
 }
 
-Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis)
+Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inputs_vector,
+                                    const ITensorInfo                      *output,
+                                    size_t                                  axis)
 {
     return cpu::CpuConcatenate::validate(inputs_vector, output, axis);
 }
@@ -80,7 +80,7 @@ Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inpu
 void NEConcatenateLayer::run()
 {
     ITensorPack pack;
-    for(unsigned i = 0; i < _impl->num_inputs; ++i)
+    for (unsigned i = 0; i < _impl->num_inputs; ++i)
     {
         pack.add_tensor(TensorType::ACL_SRC_VEC + i, _impl->srcs.at(i));
     }