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/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
index 143a842d02..c640b5a8d6 100644
--- a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
+++ b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
@@ -25,13 +25,14 @@
 
 #include "arm_compute/core/CL/CLHelpers.h"
 #include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "arm_compute/core/utils/StringUtils.h"
+
 #include "src/core/CL/CLValidate.h"
 #include "src/core/helpers/AutoConfiguration.h"
 #include "src/core/helpers/WindowHelpers.h"
 #include "support/StringSupport.h"
-#include "arm_compute/core/TensorInfo.h"
 
 using namespace arm_compute::misc::shape_calculator;
 namespace arm_compute
@@ -46,7 +47,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *block_inf
     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
 
     // Validate output if initialized
-    if(output->total_size() != 0)
+    if (output->total_size() != 0)
     {
         ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
@@ -54,7 +55,11 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *block_inf
 
     return Status{};
 }
-Status validate_arguments_static(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const ITensorInfo *output, const CropInfo &crop_info)
+Status validate_arguments_static(const ITensorInfo *input,
+                                 const int          block_shape_x,
+                                 const int          block_shape_y,
+                                 const ITensorInfo *output,
+                                 const CropInfo    &crop_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
@@ -66,10 +71,11 @@ Status validate_arguments_static(const ITensorInfo *input, const int block_shape
     ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_batch] % (block_shape_x * block_shape_y) != 0);
 
     // Validate output if initialized
-    if(output->total_size() != 0)
+    if (output->total_size() != 0)
     {
-        const TensorShape expected_output_shape = compute_batch_to_space_shape(input->data_layout(), input->tensor_shape(), block_shape_x, block_shape_y, crop_info);
-        const TensorInfo  expected_output       = output->clone()->set_tensor_shape(expected_output_shape);
+        const TensorShape expected_output_shape = compute_batch_to_space_shape(
+            input->data_layout(), input->tensor_shape(), block_shape_x, block_shape_y, crop_info);
+        const TensorInfo expected_output = output->clone()->set_tensor_shape(expected_output_shape);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &expected_output);
         ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
@@ -79,8 +85,7 @@ Status validate_arguments_static(const ITensorInfo *input, const int block_shape
 }
 } // namespace
 
-CLBatchToSpaceLayerKernel::CLBatchToSpaceLayerKernel()
-    : _input(nullptr), _block_shape(nullptr), _output(nullptr)
+CLBatchToSpaceLayerKernel::CLBatchToSpaceLayerKernel() : _input(nullptr), _block_shape(nullptr), _output(nullptr)
 {
     _type = CLKernelType::ELEMENTWISE;
 }
@@ -90,11 +95,14 @@ void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTenso
     configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, output);
 }
 
-void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)
+void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_context,
+                                          const ICLTensor        *input,
+                                          const ICLTensor        *block_shape,
+                                          ICLTensor              *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
-    auto padding_info = get_padding_info({ input, block_shape, output });
+    auto padding_info = get_padding_info({input, block_shape, output});
 
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), output->info()));
 
@@ -106,8 +114,9 @@ void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_contex
     CLBuildOptions build_opts;
     build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(output->info()->data_type()));
     build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(3)));
-    _kernel = create_kernel(compile_context, "batch_to_space_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options());
-
+    _kernel = create_kernel(compile_context,
+                            "batch_to_space_" + lower_string(string_from_data_layout(input->info()->data_layout())),
+                            build_opts.options());
 
     // Configure kernel window
     Window win = calculate_max_window(*output->info(), Steps());
@@ -116,47 +125,65 @@ void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_contex
     ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
 }
 
-void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output, const CropInfo &crop_info)
+void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input,
+                                          const int32_t    block_shape_x,
+                                          const int32_t    block_shape_y,
+                                          ICLTensor       *output,
+                                          const CropInfo  &crop_info)
 {
     configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, output, crop_info);
 }
 
-void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output,
-                                          const CropInfo &crop_info)
+void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_context,
+                                          const ICLTensor        *input,
+                                          const int32_t           block_shape_x,
+                                          const int32_t           block_shape_y,
+                                          ICLTensor              *output,
+                                          const CropInfo         &crop_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
-    const TensorShape output_shape = compute_batch_to_space_shape(input->info()->data_layout(), input->info()->tensor_shape(), block_shape_x, block_shape_y);
+    const TensorShape output_shape = compute_batch_to_space_shape(
+        input->info()->data_layout(), input->info()->tensor_shape(), block_shape_x, block_shape_y);
     auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
 
-    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_static(input->info(), block_shape_x, block_shape_y, output->info(), crop_info));
+    ARM_COMPUTE_ERROR_THROW_ON(
+        validate_arguments_static(input->info(), block_shape_x, block_shape_y, output->info(), crop_info));
 
     _input  = input;
     _output = output;
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
+    build_opts.add_option("-DDATA_TYPE=" +
+                          get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(3)));
     build_opts.add_option("-DBLOCK_SHAPE_X=" + support::cpp11::to_string(block_shape_x));
     build_opts.add_option("-DBLOCK_SHAPE_Y=" + support::cpp11::to_string(block_shape_y));
     build_opts.add_option("-DCROP_LEFT=" + support::cpp11::to_string(crop_info.left));
     build_opts.add_option("-DCROP_TOP=" + support::cpp11::to_string(crop_info.top));
-    _kernel = create_kernel(compile_context, "batch_to_space_static_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options());
+    _kernel = create_kernel(
+        compile_context, "batch_to_space_static_" + lower_string(string_from_data_layout(input->info()->data_layout())),
+        build_opts.options());
 
     // Configure kernel window
     Window win = calculate_max_window(*output->info(), Steps());
     ICLKernel::configure_internal(win);
 }
 
-Status CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)
+Status
+CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_shape, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, output));
     return Status{};
 }
 
-Status CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const int32_t block_shape_x, const int32_t block_shape_y, const ITensorInfo *output, const CropInfo &crop_info)
+Status CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input,
+                                           const int32_t      block_shape_x,
+                                           const int32_t      block_shape_y,
+                                           const ITensorInfo *output,
+                                           const CropInfo    &crop_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, output, crop_info));
@@ -185,7 +212,7 @@ void CLBatchToSpaceLayerKernel::run(const Window &window, cl::CommandQueue &queu
         unsigned int idx = 0;
         add_4D_tensor_argument(idx, _input, slice_in);
         add_argument(idx, batch_id);
-        if(_block_shape != nullptr)
+        if (_block_shape != nullptr)
         {
             add_1D_tensor_argument(idx, _block_shape, vector_slice);
         }
@@ -193,7 +220,6 @@ void CLBatchToSpaceLayerKernel::run(const Window &window, cl::CommandQueue &queu
         enqueue(queue, *this, slice_out, lws_hint());
 
         ++batch_id;
-    }
-    while(window.slide_window_slice_3D(slice_out));
+    } while (window.slide_window_slice_3D(slice_out));
 }
-} // namespace arm_compute
\ No newline at end of file
+} // namespace arm_compute