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AttributeError: module 'logging' has no attribute 'TensorBoardLogger' #731
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Having the same issue but |
sounds like an issue how the |
Yeah there is something odd with the logging submodule. I am getting this:
Notice that |
This prevent the python `logging` module to override the `pytorch_lightning.logging` module. This fix issue Lightning-AI#731
This prevent the python `logging` module to override the `pytorch_lightning.logging` module. This fix issue Lightning-AI#731
wow, good point... 👍 |
I'm having a similar problems like many others with the loggers. When I run my code:
I get the following error:
I thought I could create a
I can't train my models. What are my options here? |
We are working on a fix, check following PR #767 |
Thank you @Borda. Since I'm not able to train my model without a logger, are there any other options other than waiting for the fix to come in? |
Train it with a logger using advice above for alternative import statement?
…On Thu, Jan 30, 2020 at 2:41 PM sudarshan ***@***.***> wrote:
Thank you @Borda <https://github.com/Borda>. Since I'm not able to train
my model without a logger, are there any other options other than waiting
for the fix to come in?
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I'm assuming you are referring to @chutaklee reply about using |
Really? Check out my initial description, under To Reproduce: I install pytorch-lightning (nothing else), and then am able to access |
Well we have a short partial simple fix in #768 |
The work around from @colllin didn't work for me, but |
Still getting the same error when logging.root.manager |
AttributeError: module 'logging' has no attribute 'tensorboard' |
🐛 Bug
Following the docs, I tried:
But I receive an error:
AttributeError: module 'logging' has no attribute 'TensorBoardLogger'
To Reproduce
Code sample
Expected behavior
Environment
Additional context
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