You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
2021-01-15 22:29:10.524176: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2021-01-15 22:29:10.524235: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Startup of the worker pool in zone us-central1-a failed to bring up any of the desired 1 workers. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: The zone 'projects/python-docs-samples-tests/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
Thanks. Sorry, I missed these notifications. The dynamic library warning is normal. It's trying to load GPUs, but the VM that launches the job doesn't have GPUs, but when the workers run the pipeline they should work as expected.
About the quota issue, Valentyn also mentioned that we could change to us-central1-f and that could solve that. I applied that in #5275
Activity
tmatsuo commentedon Jan 15, 2021
It seems like it always fails.
@davidcavazos Do you have any idea why it fails?
tmatsuo commentedon Jan 15, 2021
I see a dlerror in the log:
tmatsuo commentedon Jan 15, 2021
I found a more important error:
tmatsuo commentedon Jan 15, 2021
There were leaked GCE instances. I deleted them and I think we're good to go.
tmatsuo commentedon Jan 16, 2021
Now it's constantly passing.
davidcavazos commentedon Jan 25, 2021
Thanks. Sorry, I missed these notifications. The dynamic library warning is normal. It's trying to load GPUs, but the VM that launches the job doesn't have GPUs, but when the workers run the pipeline they should work as expected.
About the quota issue, Valentyn also mentioned that we could change to
us-central1-fand that could solve that. I applied that in #5275