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, 5 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/GpuWorkloadContext.cpp b/src/dynamic_fusion/sketch/gpu/GpuWorkloadContext.cpp
index c2bd012703..36cad790c7 100644
--- a/src/dynamic_fusion/sketch/gpu/GpuWorkloadContext.cpp
+++ b/src/dynamic_fusion/sketch/gpu/GpuWorkloadContext.cpp
@@ -23,7 +23,9 @@
  */
 
 #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h"
+
 #include "arm_compute/core/CL/CLCompileContext.h"
+
 #include "src/dynamic_fusion/sketch/gpu/GpuWorkloadContextImpl.h"
 
 namespace arm_compute
@@ -33,7 +35,7 @@ namespace experimental
 namespace dynamic_fusion
 {
 GpuWorkloadContext::GpuWorkloadContext(CLCompileContext *cl_compile_ctx)
-    : _impl{ std::make_unique<Impl>(GpuLanguage::OpenCL, cl_compile_ctx) }
+    : _impl{std::make_unique<Impl>(GpuLanguage::OpenCL, cl_compile_ctx)}
 {
 }
 
@@ -74,7 +76,11 @@ const GpuWorkloadContext::Impl &GpuWorkloadContext::implementation() const
 }
 
 GpuWorkloadContext::Impl::Impl(GpuLanguage gpu_language, CLCompileContext *cl_compile_ctx)
-    : _gpu_language(gpu_language), _cl_compile_ctx(cl_compile_ctx), _next_tensor_id(1), _mem_map(), _managed_tensor_info()
+    : _gpu_language(gpu_language),
+      _cl_compile_ctx(cl_compile_ctx),
+      _next_tensor_id(1),
+      _mem_map(),
+      _managed_tensor_info()
 {
 }
 
@@ -100,7 +106,7 @@ void GpuWorkloadContext::Impl::register_user_tensor(ITensorInfo &tensor_info)
     const auto tensor_id = next_tensor_id();
 
     tensor_info.set_id(tensor_id);
-    _mem_map[tensor_id] = MemoryDescriptor{ MemoryType::User };
+    _mem_map[tensor_id] = MemoryDescriptor{MemoryType::User};
     // Save a *copy* of the user tensor info in workload context for future reference
     // Note that this means if the user modifies the @p tensor_info, the change will not be reflected in the context
     _managed_tensor_info.emplace(tensor_info.id(), std::make_unique<TensorInfo>(tensor_info));
@@ -111,7 +117,7 @@ ITensorInfo *GpuWorkloadContext::Impl::create_virtual_tensor()
     auto       tensor_info = std::make_unique<TensorInfo>();
     const auto tensor_id   = -next_tensor_id();
     tensor_info->set_id(tensor_id);
-    _mem_map[tensor_id] = MemoryDescriptor{ MemoryType::Virtual };
+    _mem_map[tensor_id] = MemoryDescriptor{MemoryType::Virtual};
     auto inserted       = _managed_tensor_info.emplace(tensor_info->id(), std::move(tensor_info));
     return inserted.first->second.get();
 }
@@ -121,7 +127,7 @@ ITensorInfo *GpuWorkloadContext::Impl::create_auxiliary_tensor(const ITensorInfo
     auto       tensor_info = std::make_unique<TensorInfo>(itensor_info);
     const auto tensor_id   = next_tensor_id();
     tensor_info->set_id(tensor_id);
-    _mem_map[tensor_id] = MemoryDescriptor{ MemoryType::Auxiliary, AuxMemoryInfo{ tensor_info->total_size() } };
+    _mem_map[tensor_id] = MemoryDescriptor{MemoryType::Auxiliary, AuxMemoryInfo{tensor_info->total_size()}};
     auto inserted       = _managed_tensor_info.emplace(tensor_info->id(), std::move(tensor_info));
     return inserted.first->second.get();
 }