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, 22 insertions, 7 deletions

diff --git a/src/runtime/CL/functions/CLMatMul.cpp b/src/runtime/CL/functions/CLMatMul.cpp
index bef422fca1..e8bdad706b 100644
--- a/src/runtime/CL/functions/CLMatMul.cpp
+++ b/src/runtime/CL/functions/CLMatMul.cpp
@@ -22,8 +22,10 @@
  * SOFTWARE.
  */
 #include "arm_compute/runtime/CL/functions/CLMatMul.h"
+
 #include "arm_compute/runtime/CL/CLTensor.h"
 #include "arm_compute/runtime/CL/CLTypes.h"
+
 #include "src/gpu/cl/operators/ClMatMul.h"
 
 namespace arm_compute
@@ -32,23 +34,32 @@ using OperatorType = opencl::ClMatMul;
 
 struct CLMatMul::Impl
 {
-    std::unique_ptr<OperatorType> op{ nullptr };
+    std::unique_ptr<OperatorType> op{nullptr};
     ITensorPack                   run_pack{};
 };
-CLMatMul::CLMatMul()
-    : _impl(std::make_unique<Impl>())
+CLMatMul::CLMatMul() : _impl(std::make_unique<Impl>())
 {
 }
 
 CLMatMul::~CLMatMul() = default;
 
-void CLMatMul::configure(ICLTensor *lhs, ICLTensor *rhs, ICLTensor *output, const MatMulInfo &matmul_info, const GpuMatMulSettings &settings, const ActivationLayerInfo &act_info)
+void CLMatMul::configure(ICLTensor                 *lhs,
+                         ICLTensor                 *rhs,
+                         ICLTensor                 *output,
+                         const MatMulInfo          &matmul_info,
+                         const GpuMatMulSettings   &settings,
+                         const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_UNUSED(settings);
     configure(CLKernelLibrary::get().get_compile_context(), lhs, rhs, output, matmul_info, settings, act_info);
 }
 
-void CLMatMul::configure(const CLCompileContext &compile_context, ICLTensor *lhs, ICLTensor *rhs, ICLTensor *output, const MatMulInfo &matmul_info, const GpuMatMulSettings &settings,
+void CLMatMul::configure(const CLCompileContext    &compile_context,
+                         ICLTensor                 *lhs,
+                         ICLTensor                 *rhs,
+                         ICLTensor                 *output,
+                         const MatMulInfo          &matmul_info,
+                         const GpuMatMulSettings   &settings,
                          const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, output);
@@ -56,10 +67,14 @@ void CLMatMul::configure(const CLCompileContext &compile_context, ICLTensor *lhs
 
     _impl->op = std::make_unique<OperatorType>();
     _impl->op->configure(compile_context, lhs->info(), rhs->info(), output->info(), matmul_info, act_info);
-    _impl->run_pack = { { ACL_SRC_0, lhs }, { ACL_SRC_1, rhs }, { ACL_DST, output } };
+    _impl->run_pack = {{ACL_SRC_0, lhs}, {ACL_SRC_1, rhs}, {ACL_DST, output}};
 }
 
-Status CLMatMul::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *output, const MatMulInfo &matmul_info, const ActivationLayerInfo &act_info)
+Status CLMatMul::validate(const ITensorInfo         *lhs,
+                          const ITensorInfo         *rhs,
+                          const ITensorInfo         *output,
+                          const MatMulInfo          &matmul_info,
+                          const ActivationLayerInfo &act_info)
 {
     return OperatorType::validate(lhs, rhs, output, matmul_info, act_info);
 }