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, 30 insertions, 8 deletions

diff --git a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
index 4bafef27a9..70ceb1513b 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
@@ -52,7 +52,8 @@ public:
      * @param[in] memory_manager  (Optional) Memory manager.
      * @param[in] weights_manager (Optional) Weights manager.
      */
-    CLGEMMConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr, IWeightsManager *weights_manager = nullptr);
+    CLGEMMConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager  = nullptr,
+                           IWeightsManager                *weights_manager = nullptr);
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     CLGEMMConvolutionLayer(const CLGEMMConvolutionLayer &) = delete;
     /** Default move constructor */
@@ -95,8 +96,15 @@ public:
      * @param[in]  act_info     (Optional) Activation layer information in case of a fused activation.
      * @param[in]  num_groups   (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
      */
-    void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo(),
-                   const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), unsigned int num_groups = 1);
+    void configure(const ICLTensor           *input,
+                   const ICLTensor           *weights,
+                   const ICLTensor           *biases,
+                   ICLTensor                 *output,
+                   const PadStrideInfo       &conv_info,
+                   const WeightsInfo         &weights_info = WeightsInfo(),
+                   const Size2D              &dilation     = Size2D(1U, 1U),
+                   const ActivationLayerInfo &act_info     = ActivationLayerInfo(),
+                   unsigned int               num_groups   = 1);
     /** Set the input and output tensors.
      *
      * @param[in]  compile_context The compile context to be used.
@@ -116,9 +124,16 @@ public:
      * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
      * @param[in]  num_groups      (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
      */
-    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info,
-                   const WeightsInfo &weights_info = WeightsInfo(),
-                   const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), unsigned int num_groups = 1);
+    void configure(const CLCompileContext    &compile_context,
+                   const ICLTensor           *input,
+                   const ICLTensor           *weights,
+                   const ICLTensor           *biases,
+                   ICLTensor                 *output,
+                   const PadStrideInfo       &conv_info,
+                   const WeightsInfo         &weights_info = WeightsInfo(),
+                   const Size2D              &dilation     = Size2D(1U, 1U),
+                   const ActivationLayerInfo &act_info     = ActivationLayerInfo(),
+                   unsigned int               num_groups   = 1);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMConvolutionLayer.
      *
      * @param[in]  input        Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -139,8 +154,15 @@ 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(), 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(),
+                           unsigned int               num_groups   = 1);
 
     // Inherited methods overridden:
     void run() override;