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authorShubhanshu Saxena <shubhanshu.e01@gmail.com>2021-08-08 16:25:34 +0530
committerGuo Yejun <yejun.guo@intel.com>2021-08-10 22:27:27 +0800
commit0985e9283ca2fe85dd0744f97c869bf24fbf14b5 (patch)
tree38ac76448a122669ade0fc1aa7bc33f5f083d502 /doc
parente6ae8fc18e579e1ca750ed392da2df3474b88976 (diff)
downloadffmpeg-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>
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