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pu...@google.com
pu...@google.com
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Description
I have multiple models that I want to deploy.
I created two resource pools, one for CPU and one for GPU.
Now I deployed two models to the resource pool CPU, and it is working well.
But when I try to create an endpoint and attach it to the resource pool GPU, it fails.
I tried two different models and it is still not working.
The models work if I set dedicated resources with GPU.
Here's the message I got by mail:
Error Messages: Model server exited unexpectedly.
So basically, when I hit create endpoint it keeps loading for some minutes then the error shows.
I found this error in logging explorer:
(1) NOT_FOUND: Error executing an HTTP request: HTTP response code 404 with body '<?xml version='1.0' encoding='UTF-8'?><Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Details>No such object: caip-tenant-fc9d9d0b-17f4-4284-9823-401faaf96ac0/5044324052747943936-processed/tfeieOptimizedModel/20230812093241/1/variables/variables.data-00000-of-00001</Details></Error>
when reading gs://caip-tenant-fc9d9d0b-17f4-4284-9823-401faaf96ac0/5044324052747943936-processed/tfeieOptimizedModel/20230812093241/1/variables/variables.data-00000-of-00001
Tried importing model without "Tensorflow optimize runtime" option and I got this error:
P_REQUIRES failed at xla_ops.cc:296 : UNIMPLEMENTED: Could not find compiler for platform CUDA: NOT_FOUND: could not find registered compiler for platform CUDA -- was support for that platform linked in?"
Steps to reproduce:
Download this model to a bucket:
Create a resource pool with GPU V100 and using standard 30gb memory
Import the model to model registry then create an endpoint and use shared resources and point to the resource pool created above.
You should get an error after a few minutes.
The region is: us-central1 (Iowa)