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, 18 insertions, 12 deletions

diff --git a/src/runtime/CL/functions/CLFFT1D.cpp b/src/runtime/CL/functions/CLFFT1D.cpp
index bd0966b65f..48e9ae824a 100644
--- a/src/runtime/CL/functions/CLFFT1D.cpp
+++ b/src/runtime/CL/functions/CLFFT1D.cpp
@@ -26,13 +26,13 @@
 #include "arm_compute/core/CL/ICLTensor.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include "src/common/utils/Log.h"
 #include "src/core/CL/kernels/CLFFTDigitReverseKernel.h"
 #include "src/core/CL/kernels/CLFFTRadixStageKernel.h"
 #include "src/core/CL/kernels/CLFFTScaleKernel.h"
 #include "src/core/utils/helpers/fft.h"
 
-#include "src/common/utils/Log.h"
-
 namespace arm_compute
 {
 CLFFT1D::CLFFT1D(std::shared_ptr<IMemoryManager> memory_manager)
@@ -54,7 +54,10 @@ void CLFFT1D::configure(const ICLTensor *input, ICLTensor *output, const FFT1DIn
     configure(CLKernelLibrary::get().get_compile_context(), input, output, config);
 }
 
-void CLFFT1D::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const FFT1DInfo &config)
+void CLFFT1D::configure(const CLCompileContext &compile_context,
+                        const ICLTensor        *input,
+                        ICLTensor              *output,
+                        const FFT1DInfo        &config)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_ERROR_THROW_ON(CLFFT1D::validate(input->info(), output->info(), config));
@@ -77,13 +80,14 @@ void CLFFT1D::configure(const CLCompileContext &compile_context, const ICLTensor
     TensorInfo digit_reverse_indices_info(TensorShape(input->info()->tensor_shape()[config.axis]), 1, DataType::U32);
     _digit_reverse_indices.allocator()->init(digit_reverse_indices_info);
     _memory_group.manage(&_digit_reversed_input);
-    _digit_reverse_kernel->configure(compile_context, input, &_digit_reversed_input, &_digit_reverse_indices, digit_reverse_config);
+    _digit_reverse_kernel->configure(compile_context, input, &_digit_reversed_input, &_digit_reverse_indices,
+                                     digit_reverse_config);
 
     // Create and configure FFT kernels
     unsigned int Nx = 1;
     _num_ffts       = decomposed_vector.size();
     _fft_kernels.reserve(_num_ffts);
-    for(unsigned int i = 0; i < _num_ffts; ++i)
+    for (unsigned int i = 0; i < _num_ffts; ++i)
     {
         const unsigned int radix_for_stage = decomposed_vector.at(i);
 
@@ -93,18 +97,20 @@ void CLFFT1D::configure(const CLCompileContext &compile_context, const ICLTensor
         fft_kernel_info.Nx             = Nx;
         fft_kernel_info.is_first_stage = (i == 0);
         _fft_kernels.emplace_back(std::make_unique<CLFFTRadixStageKernel>());
-        _fft_kernels.back()->configure(compile_context, &_digit_reversed_input, ((i == (_num_ffts - 1)) && !is_c2r) ? output : nullptr, fft_kernel_info);
+        _fft_kernels.back()->configure(compile_context, &_digit_reversed_input,
+                                       ((i == (_num_ffts - 1)) && !is_c2r) ? output : nullptr, fft_kernel_info);
 
         Nx *= radix_for_stage;
     }
 
     // Configure scale kernel
-    if(_run_scale)
+    if (_run_scale)
     {
         FFTScaleKernelInfo scale_config;
         scale_config.scale     = static_cast<float>(N);
         scale_config.conjugate = config.direction == FFTDirection::Inverse;
-        is_c2r ? _scale_kernel->configure(compile_context, &_digit_reversed_input, output, scale_config) : _scale_kernel->configure(output, nullptr, scale_config);
+        is_c2r ? _scale_kernel->configure(compile_context, &_digit_reversed_input, output, scale_config)
+               : _scale_kernel->configure(output, nullptr, scale_config);
     }
 
     // Allocate tensors
@@ -123,7 +129,7 @@ Status CLFFT1D::validate(const ITensorInfo *input, const ITensorInfo *output, co
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(input, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON(input->num_channels() != 1 && input->num_channels() != 2);
-    ARM_COMPUTE_RETURN_ERROR_ON(std::set<unsigned int>({ 0, 1 }).count(config.axis) == 0);
+    ARM_COMPUTE_RETURN_ERROR_ON(std::set<unsigned int>({0, 1}).count(config.axis) == 0);
 
     // Check if FFT is decomposable
     const auto         supported_radix   = CLFFTRadixStageKernel::supported_radix();
@@ -132,7 +138,7 @@ Status CLFFT1D::validate(const ITensorInfo *input, const ITensorInfo *output, co
     ARM_COMPUTE_RETURN_ERROR_ON(decomposed_vector.empty());
 
     // Checks performed when output is configured
-    if((output != nullptr) && (output->total_size() != 0))
+    if ((output != nullptr) && (output->total_size() != 0))
     {
         ARM_COMPUTE_RETURN_ERROR_ON(output->num_channels() == 1 && input->num_channels() == 1);
         ARM_COMPUTE_RETURN_ERROR_ON(output->num_channels() != 1 && output->num_channels() != 2);
@@ -151,13 +157,13 @@ void CLFFT1D::run()
     CLScheduler::get().enqueue(*_digit_reverse_kernel, false);
 
     // Run radix kernels
-    for(unsigned int i = 0; i < _num_ffts; ++i)
+    for (unsigned int i = 0; i < _num_ffts; ++i)
     {
         CLScheduler::get().enqueue(*_fft_kernels[i], i == (_num_ffts - 1) && !_run_scale);
     }
 
     // Run output scaling
-    if(_run_scale)
+    if (_run_scale)
     {
         CLScheduler::get().enqueue(*_scale_kernel, true);
     }