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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2021-02-03 16:05:00 +0000 |
|---|---|---|
| committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2021-02-08 09:46:35 +0000 |
| commit | 1928904316e80ba0549b94ae1f905d7e79bda812 (patch) | |
| tree | ac44d4118f2beb6c6b454995abaeb76228ab54ab /src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h | |
| parent | dda6914c6e923187c2ca2c3bfd71677e9c9e5c68 (diff) | |
| download | ComputeLibrary-1928904316e80ba0549b94ae1f905d7e79bda812.tar.gz | |
Make NEON Pooling kernels and functions state-less
Partially resolves COMPMID-3999
Change-Id: Ib39d40694df5c5f0a9401488e0c3af3ac26e8c55
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4984
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h')
| -rw-r--r-- | src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h b/src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h index 8cdfe2b953..f42272826c 100644 --- a/src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h +++ b/src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2020 Arm Limited. + * Copyright (c) 2020-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -56,7 +56,7 @@ public: * * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[in] indices Tensor containing the offset to store the input elements in the output tensor. - * @ref NEPoolingLayerKernel with indices should precede this function in order to + * @ref cpu::kernels::CpuPoolingKernel with indices should precede this function in order to * properly reconstruct the output tensor. * The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32. * @param[out] output Destination tensor. Data types supported: Same as @p input. |