Open MeouSker77 opened 2 years ago
@zhentaocc please take a look
Opened an issue in OpenVINO https://github.com/openvinotoolkit/openvino/issues/12747.
Opened an issue in OpenVINO openvinotoolkit/openvino#12747.
Does it happen for previous versions?
Opened an issue in OpenVINO openvinotoolkit/openvino#12747.
Does it happen for previous versions?
Tensorflow 2.8 is not compatible with lower version of OpenVINO. It will fail during the model conversion from TF to IR.
But if you mean TF version, OpenVINO 2022.1 works on TF 2.7.
Seems to be related to allocation... TF2.8+OpenVINO 2022.1+tcmalloc works.
Opened an issue in OpenVINO openvinotoolkit/openvino#12747.
Does it happen for previous versions?
Tensorflow 2.8 is not compatible with lower version of OpenVINO. It will fail during the model conversion from TF to IR. But if you mean TF version, OpenVINO 2022.1 works on TF 2.7.
Seems to be related to allocation... TF2.8+OpenVINO 2022.1+tcmalloc works.
How about default TF 2.8 & 2.9 with OpenVINO?
https://github.com/intel-analytics/BigDL/runs/8032571472?check_suite_focus=true
replacing intel-tensorflow with tensorflow-cpu works.
https://jira.devtools.intel.com/browse/TFDO-5498?orderby=priority+ASC%2C+updated+DESC issue for intel tensorflow
@MeouSker77 maybe we could add an issue to openvino team jira as well? (will send link offline)
@MeouSker77 maybe we could add an issue to openvino team jira as well? (will send link offline)
There is already an issue about this in openvino team jira
@MeouSker77 maybe we could add an issue to openvino team jira as well? (will send link offline)
There is already an issue about this in openvino team jira
Do you have a ticket link for this?
Do you have a ticket link for this?
send the link offline
When importing both openvino and intel-tensorflow > 2.7, the following code will raise an error:
RuntimeError: dimension (-1) in node dim must be greater or equal to -1: at offset
Only importing openvino is ok:
This error won't occur when using tcmalloc, but it will occur when using jemalloc or using neither.