commit afd38f0c617d6f89b2b4532c6c44f116617e2b6f
author Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Wed Sep 27 17:46:17 2023 +0100
committer felixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Thu Sep 28 12:08:05 2023 +0000
tree 03bc7d5a762099989b16a656fa8d397b490ed70e
parent bdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894

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>

src/core/CL/kernels/CLDepthToSpaceLayerKernel.cpp

diff --git a/src/core/CL/kernels/CLDepthToSpaceLayerKernel.cpp b/src/core/CL/kernels/CLDepthToSpaceLayerKernel.cpp
index 5c1dc4f..cdf19ab 100644
--- a/src/core/CL/kernels/CLDepthToSpaceLayerKernel.cpp
+++ b/src/core/CL/kernels/CLDepthToSpaceLayerKernel.cpp
@@ -27,6 +27,7 @@
 #include "arm_compute/core/CL/ICLTensor.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"
@@ -49,12 +50,14 @@
     ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] % (block_shape * block_shape) != 0);
 
     // Validate output if initialized
-    if(output->total_size() != 0)
+    if (output->total_size() != 0)
     {
         const int idx_width  = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
         const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
-        ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_width] != (block_shape * input->tensor_shape()[idx_width]));
-        ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_height] != (block_shape * input->tensor_shape()[idx_height]));
+        ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_width] !=
+                                    (block_shape * input->tensor_shape()[idx_width]));
+        ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_height] !=
+                                    (block_shape * input->tensor_shape()[idx_height]));
         ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
     }
@@ -63,8 +66,7 @@
 }
 } // namespace
 
-CLDepthToSpaceLayerKernel::CLDepthToSpaceLayerKernel()
-    : _input(nullptr), _output(nullptr), _block_shape()
+CLDepthToSpaceLayerKernel::CLDepthToSpaceLayerKernel() : _input(nullptr), _output(nullptr), _block_shape()
 {
     _type = CLKernelType::ELEMENTWISE;
 }
@@ -74,14 +76,18 @@
     configure(CLKernelLibrary::get().get_compile_context(), input, output, block_shape);
 }
 
-void CLDepthToSpaceLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t block_shape)
+void CLDepthToSpaceLayerKernel::configure(const CLCompileContext &compile_context,
+                                          const ICLTensor        *input,
+                                          ICLTensor              *output,
+                                          int32_t                 block_shape)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
-    TensorShape output_shape = compute_depth_to_space_shape(input->info()->tensor_shape(), input->info()->data_layout(), block_shape);
+    TensorShape output_shape =
+        compute_depth_to_space_shape(input->info()->tensor_shape(), input->info()->data_layout(), block_shape);
     auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
 
-    auto padding_info = get_padding_info({ input, output });
+    auto padding_info = get_padding_info({input, output});
 
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), block_shape));
 
@@ -98,7 +104,9 @@
     build_opts.add_option("-DCHANNEL_SIZE=" + support::cpp11::to_string(input->info()->dimension(idx_channel)));
     build_opts.add_option("-DBLOCK_SHAPE=" + support::cpp11::to_string(block_shape));
     build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_width)));
-    _kernel = create_kernel(compile_context, "depth_to_space_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options());
+    _kernel = create_kernel(compile_context,
+                            "depth_to_space_" + lower_string(string_from_data_layout(input->info()->data_layout())),
+                            build_opts.options());
 
     // Configure kernel window
     Window win = calculate_max_window(*input->info(), Steps());
@@ -137,7 +145,6 @@
         enqueue(queue, *this, slice_in, lws_hint());
 
         ++batch_id;
-    }
-    while(window.slide_window_slice_3D(slice_in));
+    } while (window.slide_window_slice_3D(slice_in));
 }
 } // namespace arm_compute