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I built a Tensorflow model on top. of BioSentVec Emebeddinngs. Now when I am trying to deploy the model, I need BioSentevec at inference time to preprocess the inputs.
I am trying to deploy. the model on AWS. using Lambda and EFS.
I have mounted the lambda on EFS and getting the following error when I try to load. the model -
terminate called after throwing an instance of 'std::bad_alloc'
Can someone guide me as to what is happening? Is this due to 3 GB Ram limitation on Lambda?
IF that is so, so the only option to deploy a model that uses BioSentvec would be to use an EC2 instance?
The text was updated successfully, but these errors were encountered:
iCHAIT
changed the title
terminate called after throwing an instance of 'std::bad_alloc' in AWS EFS while loading an embeddings model
terminate called after throwing an instance of 'std::bad_alloc' in AWS EFS while loading BioSentVec
Sep 10, 2020
I built a Tensorflow model on top. of BioSentVec Emebeddinngs. Now when I am trying to deploy the model, I need BioSentevec at inference time to preprocess the inputs.
I am trying to deploy. the model on AWS. using Lambda and EFS.
I have mounted the lambda on EFS and getting the following error when I try to load. the model -
Here is the Stackoverflow issue I have created - https://stackoverflow.com/questions/63817981/terminate-called-after-throwing-an-instance-of-stdbad-alloc-in-aws-efs-while?noredirect=1#comment112852352_63817981
Can someone guide me as to what is happening? Is this due to 3 GB Ram limitation on Lambda?
IF that is so, so the only option to deploy a model that uses BioSentvec would be to use an EC2 instance?
The text was updated successfully, but these errors were encountered: