Comments (2)
These are the differences of pytorch between 1.1.0 and higher that are used by Emmental.
optim.AdamW
has been added at v1.2.0 of PyTorch.optim.lr_scheduler.OneCycleLR
has been added at v1.3.0.optim.lr_scheduler.CosineAnnealingLR
has been renamed fromCosineAnnealingLr
at v1.2.0.Tensor.any()
returns True if any elements in the tensor are non-zero as of v1.1.0 and only supportstorch.uint8
dtype, while it does so if any elements in the tensor are True as of v1.2.0 and higher.
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Given that snorkel-team/snorkel#1565 is merged, this issue can be closed.
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Related Issues (15)
- Support fp16 training HOT 1
- Support functions with Tensorboard Writer in Meta.config
- Memory problems with evaluating images HOT 1
- Throw exception if provided unsupported metric
- Provide validation loss metric HOT 1
- Handle none for argparse HOT 1
- Log slicing functions
- Support data parallel training HOT 1
- Support multi-label (slicing) classification HOT 1
- Wrong checkpoint metric used in load_best_model HOT 1
- Add save() method to EmbeddingModule.save() to save a embedding_file HOT 3
- EmmentalModel is not fully saved HOT 4
- CelebA Multi-Task HOT 3
- Support wandb for logging
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