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, 51 insertions, 25 deletions

diff --git a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp
index fe3ea6a767..c8f65d2fd9 100644
--- a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp
@@ -27,6 +27,7 @@
 #include "arm_compute/core/Utils.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/runtime/Tensor.h"
+
 #include "src/core/helpers/MemoryHelpers.h"
 #include "src/cpu/operators/CpuGemmConv2d.h"
 
@@ -36,17 +37,18 @@ namespace arm_compute
 {
 struct NEGEMMConvolutionLayer::Impl
 {
-    const ITensor                      *weights{ nullptr };
-    std::unique_ptr<cpu::CpuGemmConv2d> op{ nullptr };
+    const ITensor                      *weights{nullptr};
+    std::unique_ptr<cpu::CpuGemmConv2d> op{nullptr};
     ITensorPack                         run_pack{};
     MemoryGroup                         memory_group{};
-    IWeightsManager                    *weights_manager{ nullptr };
+    IWeightsManager                    *weights_manager{nullptr};
     MemoryRequirements                  aux_mem_req{};
     WorkspaceData<Tensor>               workspace_tensors{};
-    bool                                is_prepared{ false };
+    bool                                is_prepared{false};
 };
 
-NEGEMMConvolutionLayer::NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager, IWeightsManager *weights_manager)
+NEGEMMConvolutionLayer::NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager,
+                                               IWeightsManager                       *weights_manager)
     : _impl(std::make_unique<Impl>())
 {
     _impl->weights_manager = weights_manager;
@@ -54,37 +56,61 @@ NEGEMMConvolutionLayer::NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryMana
 }
 NEGEMMConvolutionLayer::~NEGEMMConvolutionLayer() = default;
 
-void NEGEMMConvolutionLayer::configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info,
-                                       const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math, unsigned int num_groups)
+void NEGEMMConvolutionLayer::configure(const ITensor             *input,
+                                       const ITensor             *weights,
+                                       const ITensor             *biases,
+                                       ITensor                   *output,
+                                       const PadStrideInfo       &conv_info,
+                                       const WeightsInfo         &weights_info,
+                                       const Size2D              &dilation,
+                                       const ActivationLayerInfo &act_info,
+                                       bool                       enable_fast_math,
+                                       unsigned int               num_groups)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
 
     _impl->weights = weights;
     _impl->op      = std::make_unique<cpu::CpuGemmConv2d>();
-    _impl->op->configure(input->info(), weights->info(), (biases != nullptr ? biases->info() : nullptr), output->info(), conv_info, weights_info, dilation, act_info, enable_fast_math, num_groups);
+    _impl->op->configure(input->info(), weights->info(), (biases != nullptr ? biases->info() : nullptr), output->info(),
+                         conv_info, weights_info, dilation, act_info, enable_fast_math, num_groups);
 
-    _impl->run_pack =
-    {
-        { TensorType::ACL_SRC_0, input },
-        { TensorType::ACL_SRC_1, weights },
-        { TensorType::ACL_SRC_2, biases },
-        { TensorType::ACL_DST, output }
-    };
-    _impl->aux_mem_req       = _impl->op->workspace();
-    _impl->workspace_tensors = manage_workspace<Tensor>(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->run_pack);
+    _impl->run_pack    = {{TensorType::ACL_SRC_0, input},
+                          {TensorType::ACL_SRC_1, weights},
+                          {TensorType::ACL_SRC_2, biases},
+                          {TensorType::ACL_DST, output}};
+    _impl->aux_mem_req = _impl->op->workspace();
+    _impl->workspace_tensors =
+        manage_workspace<Tensor>(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->run_pack);
 }
 
-Status NEGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
-                                        const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math, unsigned int num_groups)
+Status NEGEMMConvolutionLayer::validate(const ITensorInfo         *input,
+                                        const ITensorInfo         *weights,
+                                        const ITensorInfo         *biases,
+                                        const ITensorInfo         *output,
+                                        const PadStrideInfo       &conv_info,
+                                        const WeightsInfo         &weights_info,
+                                        const Size2D              &dilation,
+                                        const ActivationLayerInfo &act_info,
+                                        bool                       enable_fast_math,
+                                        unsigned int               num_groups)
 {
-    return cpu::CpuGemmConv2d::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info, enable_fast_math, num_groups);
+    return cpu::CpuGemmConv2d::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info,
+                                        enable_fast_math, num_groups);
 }
 
-Status NEGEMMConvolutionLayer::has_opt_impl(arm_compute::WeightFormat &expected_weight_format, const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst,
-                                            const PadStrideInfo &conv_info,
-                                            const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, const bool enable_fast_math)
+Status NEGEMMConvolutionLayer::has_opt_impl(arm_compute::WeightFormat &expected_weight_format,
+                                            const ITensorInfo         *src,
+                                            const ITensorInfo         *weights,
+                                            const ITensorInfo         *biases,
+                                            const ITensorInfo         *dst,
+                                            const PadStrideInfo       &conv_info,
+                                            const WeightsInfo         &weights_info,
+                                            const Size2D              &dilation,
+                                            const ActivationLayerInfo &act_info,
+                                            const bool                 enable_fast_math)
 {
-    return cpu::CpuGemmConv2d::has_opt_impl(expected_weight_format, src, weights, biases, dst, conv_info, weights_info, dilation, act_info, enable_fast_math);
+    return cpu::CpuGemmConv2d::has_opt_impl(expected_weight_format, src, weights, biases, dst, conv_info, weights_info,
+                                            dilation, act_info, enable_fast_math);
 }
 
 void NEGEMMConvolutionLayer::run()
@@ -96,7 +122,7 @@ void NEGEMMConvolutionLayer::run()
 
 void NEGEMMConvolutionLayer::prepare()
 {
-    if(!_impl->is_prepared)
+    if (!_impl->is_prepared)
     {
         _impl->op->prepare(_impl->run_pack);