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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-08-20 17:26:45 +0100 |
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committer | SiCong Li <sicong.li@arm.com> | 2021-08-24 09:00:23 +0000 |
commit | 87a74effff65f6fa1b0e565818e02c3b414ae1cf (patch) | |
tree | 0c5d63bbbcc285232959a5a4134f282a980ab4bf /arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h | |
parent | 511771fbe0a74e6d9dfd37ba9b4926a8315ec7aa (diff) | |
download | ComputeLibrary-87a74effff65f6fa1b0e565818e02c3b414ae1cf.tar.gz |
Re-use auxiliary memory withing CpuWinogradConv2d operators
Input/Output transformation operations are independent and done in
different time-steps of the algorithm, this memory can be re-used
between this transformation stages.
Moreover, reduce the allocation when extracting workspace sizes for
Winograd trasformations. There is a mix return of sizes in bytes and
elements, thus ensure the correct is in place. storage_size() member
functions return elements while working_space() function bytes.
Resolves: COMPMID-4781
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I705445ba7ca818cead48369db3cacd49684c7192
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6145
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h')
0 files changed, 0 insertions, 0 deletions