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, 14 insertions, 10 deletions

diff --git a/src/gpu/cl/kernels/ClBatchConcatenateKernel.cpp b/src/gpu/cl/kernels/ClBatchConcatenateKernel.cpp
index 3d8ecf1fcc..a853f6bc1b 100644
--- a/src/gpu/cl/kernels/ClBatchConcatenateKernel.cpp
+++ b/src/gpu/cl/kernels/ClBatchConcatenateKernel.cpp
@@ -30,10 +30,10 @@
 #include "arm_compute/core/Utils.h"
 #include "arm_compute/core/utils/helpers/AdjustVecSize.h"
 #include "arm_compute/core/utils/StringUtils.h"
+
 #include "src/core/CL/CLValidate.h"
 #include "src/core/helpers/WindowHelpers.h"
 #include "support/Cast.h"
-
 #include "support/StringSupport.h"
 
 namespace arm_compute
@@ -66,12 +66,15 @@ ClBatchConcatenateKernel::ClBatchConcatenateKernel()
     _type = CLKernelType::ELEMENTWISE;
 }
 
-void ClBatchConcatenateKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, unsigned int batch_offset, ITensorInfo *dst)
+void ClBatchConcatenateKernel::configure(const CLCompileContext &compile_context,
+                                         ITensorInfo            *src,
+                                         unsigned int            batch_offset,
+                                         ITensorInfo            *dst)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, batch_offset, dst));
 
-    auto padding_info = get_padding_info({ src, dst });
+    auto padding_info = get_padding_info({src, dst});
 
     _batch_offset = batch_offset;
 
@@ -81,8 +84,9 @@ void ClBatchConcatenateKernel::configure(const CLCompileContext &compile_context
     CLBuildOptions build_opts;
     build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type()));
     build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
-    build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration));
-    if(is_data_type_quantized_asymmetric(src->data_type()) && src->quantization_info() != dst->quantization_info())
+    build_opts.add_option("-DVEC_SIZE_LEFTOVER=" +
+                          support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration));
+    if (is_data_type_quantized_asymmetric(src->data_type()) && src->quantization_info() != dst->quantization_info())
     {
         const UniformQuantizationInfo iq_info = src->quantization_info().uniform();
         const UniformQuantizationInfo oq_info = dst->quantization_info().uniform();
@@ -136,8 +140,9 @@ void ClBatchConcatenateKernel::run_op(ITensorPack &tensors, const Window &window
     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
 
-    const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
-    auto       dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+    const auto src =
+        utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+    auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
 
     Window slice = window.first_slice_window_3D();
 
@@ -152,9 +157,8 @@ void ClBatchConcatenateKernel::run_op(ITensorPack &tensors, const Window &window
         add_3D_tensor_argument(idx, src, slice);
         add_3D_tensor_argument(idx, dst, slice);
         enqueue(queue, *this, slice, lws_hint());
-    }
-    while(window.slide_window_slice_3D(slice));
+    } while (window.slide_window_slice_3D(slice));
 }
-} // namespace opencl
 } // namespace kernels
+} // namespace opencl
 } // namespace arm_compute