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, 23 deletions

diff --git a/src/c/cl/AclOpenClExt.cpp b/src/c/cl/AclOpenClExt.cpp
index e72babcae8..8e42cf5510 100644
--- a/src/c/cl/AclOpenClExt.cpp
+++ b/src/c/cl/AclOpenClExt.cpp
@@ -23,13 +23,12 @@
  */
 #include "arm_compute/AclOpenClExt.h"
 
+#include "arm_compute/core/CL/ICLTensor.h"
+
 #include "src/common/ITensorV2.h"
 #include "src/common/Types.h"
 #include "src/gpu/cl/ClContext.h"
 #include "src/gpu/cl/ClQueue.h"
-
-#include "arm_compute/core/CL/ICLTensor.h"
-
 #include "support/Cast.h"
 
 extern "C" AclStatus AclGetClContext(AclContext external_ctx, cl_context *opencl_context)
@@ -37,17 +36,17 @@ extern "C" AclStatus AclGetClContext(AclContext external_ctx, cl_context *opencl
     using namespace arm_compute;
     IContext *ctx = get_internal(external_ctx);
 
-    if(detail::validate_internal_context(ctx) != StatusCode::Success)
+    if (detail::validate_internal_context(ctx) != StatusCode::Success)
     {
         return AclStatus::AclInvalidArgument;
     }
 
-    if(ctx->type() != Target::GpuOcl)
+    if (ctx->type() != Target::GpuOcl)
     {
         return AclStatus::AclInvalidTarget;
     }
 
-    if(opencl_context == nullptr)
+    if (opencl_context == nullptr)
     {
         return AclStatus::AclInvalidArgument;
     }
@@ -62,23 +61,23 @@ extern "C" AclStatus AclSetClContext(AclContext external_ctx, cl_context opencl_
     using namespace arm_compute;
     IContext *ctx = get_internal(external_ctx);
 
-    if(detail::validate_internal_context(ctx) != StatusCode::Success)
+    if (detail::validate_internal_context(ctx) != StatusCode::Success)
     {
         return AclStatus::AclInvalidArgument;
     }
 
-    if(ctx->type() != Target::GpuOcl)
+    if (ctx->type() != Target::GpuOcl)
     {
         return AclStatus::AclInvalidTarget;
     }
 
-    if(ctx->refcount() != 0)
+    if (ctx->refcount() != 0)
     {
         return AclStatus::AclUnsupportedConfig;
     }
 
     auto cl_ctx = utils::cast::polymorphic_downcast<arm_compute::gpu::opencl::ClContext *>(ctx);
-    if(!cl_ctx->set_cl_ctx(::cl::Context(opencl_context)))
+    if (!cl_ctx->set_cl_ctx(::cl::Context(opencl_context)))
     {
         return AclStatus::AclRuntimeError;
     }
@@ -91,17 +90,17 @@ extern "C" AclStatus AclGetClDevice(AclContext external_ctx, cl_device_id *openc
     using namespace arm_compute;
     IContext *ctx = get_internal(external_ctx);
 
-    if(detail::validate_internal_context(ctx) != StatusCode::Success)
+    if (detail::validate_internal_context(ctx) != StatusCode::Success)
     {
         return AclStatus::AclInvalidArgument;
     }
 
-    if(ctx->type() != Target::GpuOcl)
+    if (ctx->type() != Target::GpuOcl)
     {
         return AclStatus::AclInvalidTarget;
     }
 
-    if(opencl_device == nullptr)
+    if (opencl_device == nullptr)
     {
         return AclStatus::AclInvalidArgument;
     }
@@ -116,17 +115,17 @@ extern "C" AclStatus AclGetClQueue(AclQueue external_queue, cl_command_queue *op
     using namespace arm_compute;
     IQueue *queue = get_internal(external_queue);
 
-    if(detail::validate_internal_queue(queue) != StatusCode::Success)
+    if (detail::validate_internal_queue(queue) != StatusCode::Success)
     {
         return AclStatus::AclInvalidArgument;
     }
 
-    if(queue->header.ctx->type() != Target::GpuOcl)
+    if (queue->header.ctx->type() != Target::GpuOcl)
     {
         return AclStatus::AclInvalidTarget;
     }
 
-    if(opencl_queue == nullptr)
+    if (opencl_queue == nullptr)
     {
         return AclStatus::AclInvalidArgument;
     }
@@ -141,18 +140,18 @@ extern "C" AclStatus AclSetClQueue(AclQueue external_queue, cl_command_queue ope
     using namespace arm_compute;
     IQueue *queue = get_internal(external_queue);
 
-    if(detail::validate_internal_queue(queue) != StatusCode::Success)
+    if (detail::validate_internal_queue(queue) != StatusCode::Success)
     {
         return AclStatus::AclInvalidArgument;
     }
 
-    if(queue->header.ctx->type() != Target::GpuOcl)
+    if (queue->header.ctx->type() != Target::GpuOcl)
     {
         return AclStatus::AclInvalidTarget;
     }
 
     auto cl_queue = utils::cast::polymorphic_downcast<arm_compute::gpu::opencl::ClQueue *>(queue);
-    if(!cl_queue->set_cl_queue(::cl::CommandQueue(opencl_queue)))
+    if (!cl_queue->set_cl_queue(::cl::CommandQueue(opencl_queue)))
     {
         return AclStatus::AclRuntimeError;
     }
@@ -165,17 +164,17 @@ extern "C" AclStatus AclGetClMem(AclTensor external_tensor, cl_mem *opencl_mem)
     using namespace arm_compute;
     ITensorV2 *tensor = get_internal(external_tensor);
 
-    if(detail::validate_internal_tensor(tensor) != StatusCode::Success)
+    if (detail::validate_internal_tensor(tensor) != StatusCode::Success)
     {
         return AclStatus::AclInvalidArgument;
     }
 
-    if(tensor->header.ctx->type() != Target::GpuOcl)
+    if (tensor->header.ctx->type() != Target::GpuOcl)
     {
         return AclStatus::AclInvalidTarget;
     }
 
-    if(opencl_mem == nullptr)
+    if (opencl_mem == nullptr)
     {
         return AclStatus::AclInvalidArgument;
     }
@@ -184,4 +183,4 @@ extern "C" AclStatus AclGetClMem(AclTensor external_tensor, cl_mem *opencl_mem)
     *opencl_mem    = cl_tensor->cl_buffer().get();
 
     return AclStatus::AclSuccess;
-}
\ No newline at end of file
+}