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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/NEON/functions/NEElementwiseUnaryLayer.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/NEON/functions/NEElementwiseUnaryLayer.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp b/src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp index a0674ec320..23a092c407 100644 --- a/src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp +++ b/src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp @@ -22,7 +22,9 @@ * SOFTWARE. */ #include "arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h" + #include "src/cpu/operators/CpuElementwiseUnary.h" + #include <utility> namespace arm_compute @@ -32,21 +34,20 @@ using OperatorType = cpu::CpuElementwiseUnary; template <ElementWiseUnary op> struct NEElementwiseUnaryLayer<op>::Impl { - const ITensor *src{ nullptr }; - ITensor *dst{ nullptr }; - std::unique_ptr<OperatorType> cpu_op{ nullptr }; + const ITensor *src{nullptr}; + ITensor *dst{nullptr}; + std::unique_ptr<OperatorType> cpu_op{nullptr}; }; template <ElementWiseUnary op> -NEElementwiseUnaryLayer<op>::NEElementwiseUnaryLayer() - : _impl(std::make_unique<Impl>()) +NEElementwiseUnaryLayer<op>::NEElementwiseUnaryLayer() : _impl(std::make_unique<Impl>()) { } template <ElementWiseUnary op> NEElementwiseUnaryLayer<op>::~NEElementwiseUnaryLayer() = default; template <ElementWiseUnary op> NEElementwiseUnaryLayer<op>::NEElementwiseUnaryLayer(NEElementwiseUnaryLayer &&) = default; -template <ElementWiseUnary op> +template <ElementWiseUnary op> NEElementwiseUnaryLayer<op> &NEElementwiseUnaryLayer<op>::operator=(NEElementwiseUnaryLayer &&) = default; template <ElementWiseUnary op> @@ -65,7 +66,7 @@ Status NEElementwiseUnaryLayer<op>::validate(const ITensorInfo *input, const ITe } template <ElementWiseUnary op> -void NEElementwiseUnaryLayer<op>::run() +void NEElementwiseUnaryLayer<op>::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); |