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CHANGELOG.md

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2020
- Fixed global step update when the epoch is skipped ([#7677](https://github.com/PyTorchLightning/pytorch-lightning/pull/7677))
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- Fixed training loop total batch counter when accumulate grad batches was enabled ([#7692](https://github.com/PyTorchLightning/pytorch-lightning/pull/7692))
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## [1.3.2] - 2021-05-18
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## [1.3.1] - 2021-05-11
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### Fixed
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- Fixed DeepSpeed with IterableDatasets ([#7362](https://github.com/PyTorchLightning/pytorch-lightning/pull/7362))

pytorch_lightning/__about__.py

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import time
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_this_year = time.strftime("%Y")
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__version__ = '1.3.2'
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__version__ = '1.3.3'
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__author__ = 'William Falcon et al.'
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__author_email__ = '[email protected]'
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__license__ = 'Apache-2.0'

pytorch_lightning/utilities/types.py

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from typing import Any, Dict, Iterator, List, Union
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import torch
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from torchmetrics import Metric
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"""
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Convention:
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- Do not include any `_TYPE` suffix
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- Types used in public hooks (as those in the `LightningModule` and `Callback`) should be public (no trailing `_`)
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"""
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from typing import Any, Dict, Iterator, List, Union
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import torch
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from torchmetrics import Metric
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_METRIC = Union[Metric, torch.Tensor, int, float]
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STEP_OUTPUT = Union[torch.Tensor, Dict[str, Any]]
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EPOCH_OUTPUT = List[STEP_OUTPUT]

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