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authorFelix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-27 17:46:17 +0100
committerfelixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-28 12:08:05 +0000
commitafd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch)
tree03bc7d5a762099989b16a656fa8d397b490ed70e /src/runtime/CL/functions/CLPadLayer.cpp
parentbdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff)
downloadComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz
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>
Diffstat (limited to 'src/runtime/CL/functions/CLPadLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLPadLayer.cpp41
1 files changed, 22 insertions, 19 deletions
diff --git a/src/runtime/CL/functions/CLPadLayer.cpp b/src/runtime/CL/functions/CLPadLayer.cpp
index 0ed8f03d64..e788ded512 100644
--- a/src/runtime/CL/functions/CLPadLayer.cpp
+++ b/src/runtime/CL/functions/CLPadLayer.cpp
@@ -22,37 +22,38 @@
* SOFTWARE.
*/
#include "arm_compute/runtime/CL/functions/CLPadLayer.h"
-#include "src/core/CL/kernels/CLPadLayerKernel.h"
#include "src/common/utils/Log.h"
+#include "src/core/CL/kernels/CLPadLayerKernel.h"
namespace arm_compute
{
-CLPadLayer::CLPadLayer()
- : _pad_kernel(std::make_unique<CLPadLayerKernel>()),
- _copy(),
- _perform_pad(false)
+CLPadLayer::CLPadLayer() : _pad_kernel(std::make_unique<CLPadLayerKernel>()), _copy(), _perform_pad(false)
{
}
CLPadLayer::~CLPadLayer() = default;
-void CLPadLayer::configure(ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
+void CLPadLayer::configure(
+ ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
{
configure(CLKernelLibrary::get().get_compile_context(), input, output, padding, constant_value, mode);
}
-void CLPadLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
+void CLPadLayer::configure(const CLCompileContext &compile_context,
+ ICLTensor *input,
+ ICLTensor *output,
+ const PaddingList &padding,
+ PixelValue constant_value,
+ PaddingMode mode)
{
ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), padding, constant_value, mode));
ARM_COMPUTE_LOG_PARAMS(input, output, padding, constant_value, mode);
- _perform_pad = std::any_of(padding.begin(), padding.end(), [](PaddingInfo info)
- {
- return info.first > 0 || info.second > 0;
- });
+ _perform_pad =
+ std::any_of(padding.begin(), padding.end(), [](PaddingInfo info) { return info.first > 0 || info.second > 0; });
- if(_perform_pad)
+ if (_perform_pad)
{
_pad_kernel->configure(compile_context, input, output, padding, constant_value, mode);
}
@@ -62,14 +63,16 @@ void CLPadLayer::configure(const CLCompileContext &compile_context, ICLTensor *i
_copy.configure(compile_context, input, output);
}
}
-Status CLPadLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
+Status CLPadLayer::validate(const ITensorInfo *input,
+ const ITensorInfo *output,
+ const PaddingList &padding,
+ PixelValue constant_value,
+ PaddingMode mode)
{
- bool perform_pad = std::any_of(padding.begin(), padding.end(), [](PaddingInfo info)
- {
- return info.first > 0 || info.second > 0;
- });
+ bool perform_pad =
+ std::any_of(padding.begin(), padding.end(), [](PaddingInfo info) { return info.first > 0 || info.second > 0; });
- if(perform_pad)
+ if (perform_pad)
{
ARM_COMPUTE_RETURN_ON_ERROR(CLPadLayerKernel::validate(input, output, padding, constant_value, mode));
}
@@ -81,7 +84,7 @@ Status CLPadLayer::validate(const ITensorInfo *input, const ITensorInfo *output,
}
void CLPadLayer::run()
{
- if(_perform_pad)
+ if (_perform_pad)
{
CLScheduler::get().enqueue(*_pad_kernel);
}