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, 18 insertions, 15 deletions

diff --git a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp
index 7e1de3c257..8178003b5e 100644
--- a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp
+++ b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp
@@ -25,45 +25,48 @@
 
 #include "arm_compute/core/ITensor.h"
 #include "arm_compute/core/Validate.h"
+
 #include "src/cpu/operators/CpuGemmLowpOutputStage.h"
 
 namespace arm_compute
 {
 struct NEGEMMLowpOutputStage::Impl
 {
-    const ITensor                               *src{ nullptr };
-    const ITensor                               *bias{ nullptr };
-    ITensor                                     *dst{ nullptr };
+    const ITensor                               *src{nullptr};
+    const ITensor                               *bias{nullptr};
+    ITensor                                     *dst{nullptr};
     ITensorPack                                  run_pack{};
-    std::unique_ptr<cpu::CpuGemmLowpOutputStage> op{ nullptr };
+    std::unique_ptr<cpu::CpuGemmLowpOutputStage> op{nullptr};
 };
 
-NEGEMMLowpOutputStage::NEGEMMLowpOutputStage()
-    : _impl(std::make_unique<Impl>())
+NEGEMMLowpOutputStage::NEGEMMLowpOutputStage() : _impl(std::make_unique<Impl>())
 {
 }
 NEGEMMLowpOutputStage::~NEGEMMLowpOutputStage() = default;
 
-void NEGEMMLowpOutputStage::configure(const ITensor *input, const ITensor *bias, ITensor *output, const GEMMLowpOutputStageInfo &info)
+void NEGEMMLowpOutputStage::configure(const ITensor                 *input,
+                                      const ITensor                 *bias,
+                                      ITensor                       *output,
+                                      const GEMMLowpOutputStageInfo &info)
 {
     // Perform validate step
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-    ARM_COMPUTE_ERROR_THROW_ON(NEGEMMLowpOutputStage::validate(input->info(), bias != nullptr ? bias->info() : nullptr, output->info(), info));
+    ARM_COMPUTE_ERROR_THROW_ON(
+        NEGEMMLowpOutputStage::validate(input->info(), bias != nullptr ? bias->info() : nullptr, output->info(), info));
     _impl->src  = input;
     _impl->bias = bias;
     _impl->dst  = output;
     _impl->op   = std::make_unique<cpu::CpuGemmLowpOutputStage>();
     _impl->op->configure(input->info(), (bias == nullptr) ? nullptr : bias->info(), output->info(), info);
 
-    _impl->run_pack =
-    {
-        { TensorType::ACL_SRC, _impl->src },
-        { TensorType::ACL_BIAS, _impl->bias },
-        { TensorType::ACL_DST, _impl->dst }
-    };
+    _impl->run_pack = {
+        {TensorType::ACL_SRC, _impl->src}, {TensorType::ACL_BIAS, _impl->bias}, {TensorType::ACL_DST, _impl->dst}};
 }
 
-Status NEGEMMLowpOutputStage::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo &info)
+Status NEGEMMLowpOutputStage::validate(const ITensorInfo             *input,
+                                       const ITensorInfo             *bias,
+                                       const ITensorInfo             *output,
+                                       const GEMMLowpOutputStageInfo &info)
 {
     return cpu::CpuGemmLowpOutputStage::validate(input, bias, output, info);
 }