diff options
author | Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-27 17:46:17 +0100 |
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committer | felixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-28 12:08:05 +0000 |
commit | afd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch) | |
tree | 03bc7d5a762099989b16a656fa8d397b490ed70e /src/runtime/CL/functions/CLSoftmaxLayer.cpp | |
parent | bdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff) | |
download | ComputeLibrary-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.cpp | 22 |
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); |