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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/CLSoftmaxLayer.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/CLSoftmaxLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLSoftmaxLayer.cpp22
1 files changed, 13 insertions, 9 deletions
diff --git a/src/runtime/CL/functions/CLSoftmaxLayer.cpp b/src/runtime/CL/functions/CLSoftmaxLayer.cpp
index d52352fc8d..2e70e2aa08 100644
--- a/src/runtime/CL/functions/CLSoftmaxLayer.cpp
+++ b/src/runtime/CL/functions/CLSoftmaxLayer.cpp
@@ -22,12 +22,14 @@
* SOFTWARE.
*/
#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h"
+
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Utils.h"
+
#include "src/core/helpers/MemoryHelpers.h"
#include "src/gpu/cl/kernels/ClSoftmaxKernel.h"
#include "src/gpu/cl/operators/ClPermute.h"
@@ -40,9 +42,9 @@ using OperatorType = opencl::ClSoftmax;
template <bool IS_LOG>
struct CLSoftmaxLayerGeneric<IS_LOG>::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<OperatorType> op{ nullptr };
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<OperatorType> op{nullptr};
MemoryGroup memory_group{};
ITensorPack run_pack{};
WorkspaceData<CLTensor> workspace_tensors{};
@@ -65,28 +67,30 @@ void CLSoftmaxLayerGeneric<IS_LOG>::configure(const ICLTensor *input, ICLTensor
}
template <bool IS_LOG>
-void CLSoftmaxLayerGeneric<IS_LOG>::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, float beta, int32_t axis)
+void CLSoftmaxLayerGeneric<IS_LOG>::configure(
+ const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, float beta, int32_t axis)
{
_impl->src = input;
_impl->dst = output;
_impl->op = std::make_unique<OperatorType>();
- SoftmaxKernelInfo softmax_info{ beta, IS_LOG, input->info()->data_type(), axis };
+ SoftmaxKernelInfo softmax_info{beta, IS_LOG, input->info()->data_type(), axis};
_impl->op->configure(compile_context, *input->info(), *output->info(), softmax_info);
- _impl->run_pack = { { TensorType::ACL_SRC, _impl->src }, { TensorType::ACL_DST, _impl->dst } };
+ _impl->run_pack = {{TensorType::ACL_SRC, _impl->src}, {TensorType::ACL_DST, _impl->dst}};
_impl->workspace_tensors = manage_workspace<CLTensor>(_impl->op->workspace(), _impl->memory_group, _impl->run_pack);
}
template <bool IS_LOG>
-Status CLSoftmaxLayerGeneric<IS_LOG>::validate(const ITensorInfo *input, const ITensorInfo *output, float beta, int32_t axis)
+Status
+CLSoftmaxLayerGeneric<IS_LOG>::validate(const ITensorInfo *input, const ITensorInfo *output, float beta, int32_t axis)
{
- SoftmaxKernelInfo softmax_info{ beta, IS_LOG, input->data_type(), axis };
+ SoftmaxKernelInfo softmax_info{beta, IS_LOG, input->data_type(), axis};
return OperatorType::validate(*input, *output, softmax_info);
}
template <bool IS_LOG>
-void CLSoftmaxLayerGeneric<IS_LOG>::run()
+void CLSoftmaxLayerGeneric<IS_LOG>::run()
{
// Acquire all the temporaries
MemoryGroupResourceScope scope_mg(_impl->memory_group);