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, 50 insertions, 21 deletions

diff --git a/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp b/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp
index 3b7083400b..37f728895f 100644
--- a/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp
+++ b/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp
@@ -29,71 +29,100 @@
 #include "arm_compute/core/Types.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/runtime/CL/CLScheduler.h"
-#include "src/core/CL/kernels/CLSpaceToBatchLayerKernel.h"
 
 #include "src/common/utils/Log.h"
+#include "src/core/CL/kernels/CLSpaceToBatchLayerKernel.h"
 
 namespace arm_compute
 {
 CLSpaceToBatchLayer::CLSpaceToBatchLayer()
-    : _space_to_batch_kernel(std::make_unique<CLSpaceToBatchLayerKernel>()),
-      _fill(),
-      _has_padding(false)
+    : _space_to_batch_kernel(std::make_unique<CLSpaceToBatchLayerKernel>()), _fill(), _has_padding(false)
 {
 }
 
 CLSpaceToBatchLayer::~CLSpaceToBatchLayer() = default;
 
-void CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
+void CLSpaceToBatchLayer::configure(const ICLTensor *input,
+                                    const ICLTensor *block_shape,
+                                    const ICLTensor *paddings,
+                                    ICLTensor       *output)
 {
     configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, paddings, output);
 }
 
-void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
+void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context,
+                                    const ICLTensor        *input,
+                                    const ICLTensor        *block_shape,
+                                    const ICLTensor        *paddings,
+                                    ICLTensor              *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
     ARM_COMPUTE_LOG_PARAMS(input, block_shape, paddings, output);
 
-    if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
+    if (input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
     {
         _has_padding = true;
-        _fill.configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
+        _fill.configure(compile_context, output,
+                        PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
     }
     _space_to_batch_kernel->configure(compile_context, input, block_shape, paddings, output);
 }
 
-void CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output)
+void CLSpaceToBatchLayer::configure(const ICLTensor *input,
+                                    const int        block_shape_x,
+                                    const int        block_shape_y,
+                                    const Size2D    &padding_left,
+                                    const Size2D    &padding_right,
+                                    ICLTensor       *output)
 {
-    configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, padding_left, padding_right, output);
+    configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, padding_left,
+              padding_right, output);
 }
 
-void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left,
-                                    const Size2D &padding_right, ICLTensor *output)
+void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context,
+                                    const ICLTensor        *input,
+                                    const int               block_shape_x,
+                                    const int               block_shape_y,
+                                    const Size2D           &padding_left,
+                                    const Size2D           &padding_right,
+                                    ICLTensor              *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_LOG_PARAMS(input, block_shape_x, block_shape_y, padding_left, padding_right, output);
 
-    if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
+    if (input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
     {
         _has_padding = true;
-        _fill.configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
+        _fill.configure(compile_context, output,
+                        PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
     }
-    _space_to_batch_kernel->configure(compile_context, input, block_shape_x, block_shape_y, padding_left, padding_right, output);
+    _space_to_batch_kernel->configure(compile_context, input, block_shape_x, block_shape_y, padding_left, padding_right,
+                                      output);
 }
 
-Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
+Status CLSpaceToBatchLayer::validate(const ITensorInfo *input,
+                                     const ITensorInfo *block_shape,
+                                     const ITensorInfo *paddings,
+                                     const ITensorInfo *output)
 {
-    ARM_COMPUTE_RETURN_ON_ERROR(CLFill::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
+    ARM_COMPUTE_RETURN_ON_ERROR(
+        CLFill::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
     ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape, paddings, output));
 
     return Status{};
 }
 
-Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right,
+Status CLSpaceToBatchLayer::validate(const ITensorInfo *input,
+                                     const int          block_shape_x,
+                                     const int          block_shape_y,
+                                     const Size2D      &padding_left,
+                                     const Size2D      &padding_right,
                                      const ITensorInfo *output)
 {
-    ARM_COMPUTE_RETURN_ON_ERROR(CLFill::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
-    ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
+    ARM_COMPUTE_RETURN_ON_ERROR(
+        CLFill::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
+    ARM_COMPUTE_RETURN_ON_ERROR(
+        CLSpaceToBatchLayerKernel::validate(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
 
     return Status{};
 }
@@ -101,7 +130,7 @@ Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_s
 void CLSpaceToBatchLayer::run()
 {
     // Zero out output only if we have paddings
-    if(_has_padding)
+    if (_has_padding)
     {
         //CLScheduler::get().enqueue(*_fill, true);
         _fill.run();