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TensorBoardLogger: AttributeError: module 'tensorflow' has no attribute 'io' #2090
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Hey @fabiogeraci - taking a look at this. Are you using a distributed or single device recipe? |
Single at the moment |
Got it! It looks like you might be hitting an import error, which is causing the TensorboardLogger to incorrectly shut down b/c it doesn't have time to setup the actual writer ( I've created a PR that might fix this #2092; however, there's a good chance of some earlier error that might help you resolve this faster. Perhaps looking into |
In theory it should use |
I have the following dependency versions:
And I am able to run the following with no problems: (test) [jrcummings@devvm4767.pnb0 ~/projects]$ python
Python 3.11.10 (main, Oct 3 2024, 07:29:13) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from torch.utils.tensorboard import SummaryWriter
>>> Maybe a conflicting dependency with tensorflow as pointed out in the above StackOverflow post? |
mine
as me
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the whole error stack
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Thanks for the full trace. As of now, I am still unable to reproduce your error neither via the direct import of Next I'll try downloading your entire list of packages and kick off a run b/c my only guess at this point is there's some dependency issue. |
I want to mention that i am running the job via LSF and openmpi, MlFlow is there, because the idea is to allow our users to use the company tracking server based on mlflow. maybe this can help
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DiskLogger works corectly
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