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| author | Shubhanshu Saxena <shubhanshu.e01@gmail.com> | 2021-08-08 16:25:34 +0530 |
|---|---|---|
| committer | Guo Yejun <yejun.guo@intel.com> | 2021-08-10 22:27:27 +0800 |
| commit | 0985e9283ca2fe85dd0744f97c869bf24fbf14b5 (patch) | |
| tree | 38ac76448a122669ade0fc1aa7bc33f5f083d502 /doc | |
| parent | e6ae8fc18e579e1ca750ed392da2df3474b88976 (diff) | |
| download | ffmpeg-0985e9283ca2fe85dd0744f97c869bf24fbf14b5.tar.gz | |
lavfi/dnn: Async Support for TensorFlow Backend
This commit enables async execution in the TensorFlow backend
and adds function to flush extra frames.
The async execution mechanism executes the TFInferRequests on
a separate thread which is joined before the next execution of
same TFRequestItem/while freeing the model.
The following is the comparison of this mechanism with the existing
sync mechanism on TensorFlow C API 2.5 CPU variant.
Async Mode: 4m32.846s
Sync Mode: 5m17.582s
The above was performed on super resolution filter using SRCNN model.
Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
Diffstat (limited to 'doc')
0 files changed, 0 insertions, 0 deletions