Comments (1)
Not sure about windows, this was built with linux or osx in mind. But if your docker container has linux on it, pip install should work fine. Beyond pip install, how would the docker image be useful?
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Related Issues (20)
- CUDA Error while training in DDP and using workers in dataloaders HOT 8
- The color scheme of yaml code in the document makes it difficult to read HOT 2
- Seeding not compatible with Monai HOT 4
- Notebook crashes before training
- Deadlock when manually logging from on_train_epoch_end
- training stuck at initialisation
- fast_dev_run=True mode can run the code , but fast_dev_run=False mode false HOT 2
- Allow custom module inference entry methods with Fabric HOT 1
- Lr_finder enconters an error when using dual GPU
- pytorch-ada
- Initializing Trainer with accelerator=HPUAccelerator() and strategy="auto" initializes it with incorrect strategies HOT 2
- Can't use `self.log` as an instance variable in a Callback HOT 2
- Resuming not correct when `max_steps` corresponds to the end of an epoch
- Validation runs during overfit, even when turned off HOT 2
- Using L.seed_everything in main() yields wrong labels when using shuffle in Dataloader HOT 2
- Log dict changed behavior: can't log train and validation metrics on the same plot HOT 11
- Fabric.save doesn't work with special path containing asterisks HOT 6
- IterableDataset with CORRECT length causes validation loop to be skipped HOT 6
- When I choose to save each epoch model, the previously saved model will be deleted.
- FSDPStrategy error when automatic_optimization=False
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