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, 29 insertions, 9 deletions

diff --git a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h
index 4dd76d082b..cdf0f652e1 100644
--- a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h
@@ -24,11 +24,10 @@
 #ifndef ARM_COMPUTE_NECONVOLUTIONLAYER_H
 #define ARM_COMPUTE_NECONVOLUTIONLAYER_H
 
-#include "arm_compute/runtime/IFunction.h"
-
 #include "arm_compute/core/ITensorInfo.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/function_info/ActivationLayerInfo.h"
+#include "arm_compute/runtime/IFunction.h"
 #include "arm_compute/runtime/MemoryGroup.h"
 
 #include <memory>
@@ -119,8 +118,16 @@ public:
      *                              available which may introduce a drop of accuracy as well. Default is false
      * @param[in]  num_groups       (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is not supported
      */
-    void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo(),
-                   const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false, unsigned int num_groups = 1);
+    void configure(ITensor                   *input,
+                   const ITensor             *weights,
+                   const ITensor             *biases,
+                   ITensor                   *output,
+                   const PadStrideInfo       &conv_info,
+                   const WeightsInfo         &weights_info     = WeightsInfo(),
+                   const Size2D              &dilation         = Size2D(1U, 1U),
+                   const ActivationLayerInfo &act_info         = ActivationLayerInfo(),
+                   bool                       enable_fast_math = false,
+                   unsigned int               num_groups       = 1);
     /** Static function to check if given info will lead to a valid configuration of @ref NEConvolutionLayer
      *
      * @param[in] input            Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -143,9 +150,16 @@ public:
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
-                           const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false,
-                           unsigned int num_groups = 1);
+    static Status validate(const ITensorInfo         *input,
+                           const ITensorInfo         *weights,
+                           const ITensorInfo         *biases,
+                           const ITensorInfo         *output,
+                           const PadStrideInfo       &conv_info,
+                           const WeightsInfo         &weights_info     = WeightsInfo(),
+                           const Size2D              &dilation         = Size2D(1U, 1U),
+                           const ActivationLayerInfo &act_info         = ActivationLayerInfo(),
+                           bool                       enable_fast_math = false,
+                           unsigned int               num_groups       = 1);
     /** Static function to check if given info will return the convolution called by @ref NEConvolutionLayer
      *
      * @param[in] input            Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -165,8 +179,14 @@ public:
      *
      * @return the Convolution Method Hint
      */
-    static ConvolutionMethod get_convolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info,
-                                                    const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false);
+    static ConvolutionMethod get_convolution_method(const ITensorInfo         *input,
+                                                    const ITensorInfo         *weights,
+                                                    const ITensorInfo         *output,
+                                                    const PadStrideInfo       &conv_info,
+                                                    const WeightsInfo         &weights_info     = WeightsInfo(),
+                                                    const Size2D              &dilation         = Size2D(1U, 1U),
+                                                    const ActivationLayerInfo &act_info         = ActivationLayerInfo(),
+                                                    bool                       enable_fast_math = false);
     // Inherited methods overridden:
     void run() override;
     void prepare() override;