tensorflow / tensorflow/model-optimization
raise FailedPreconditionError while training model
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Description
I encountered this error when I trained model:
tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable prune_low_magnitude_embedding/mask from Container: localhost. This could mean that the variable was uninitialized. Not found: Resource localhost/prune_low_magnitude_embedding/mask/class tensorflow::Var does not exist.
[[{{node prune_low_magnitude_embedding/Mul/ReadVariableOp_1}}]]
Is there anybody have same question?
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Research direction
Start by reproducing the model-training run that raises FailedPreconditionError and inspect the prune_low_magnitude_embedding/mask resource named in the traceback. Review the surrounding pruning and training setup shown by the reproduction; done means the cause of the missing resource is identified and a reproducible resolution or clarification is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100