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| _state_dict_all_req_keys = ("epoch_length", "max_epochs") | ||
| _state_dict_one_of_opt_keys = ("iteration", "epoch") | ||
| _state_dict_all_req_keys = ("epoch_length",) |
Collaborator
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But if we interrupted the engine during the first epoch, we would not have epoch_length.
| _state_dict_all_req_keys = ("epoch_length", "max_epochs") | ||
| _state_dict_one_of_opt_keys = ("iteration", "epoch") | ||
| _state_dict_all_req_keys = ("epoch_length",) | ||
| _state_dict_one_of_opt_keys = (("iteration", "epoch",), ("max_epochs", "max_iters",)) |
Collaborator
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We can relax the constraint that the both max_epochs and max_iters could not have values.
| if self.state.epoch_length is not None: | ||
| self.state.epoch = self.state.iteration // self.state.epoch_length | ||
| elif "epoch" in state_dict: | ||
| else: |
Collaborator
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According to state_dict this should never happen.
| self.state.max_iters = max_iters | ||
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| def _check_and_set_epoch_length(self, data: Iterable, epoch_length: Optional[int] = None) -> None: | ||
| # Can't we accept a redefinition ? |
Collaborator
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I think we can't because the relationship between epoch and iteration becomes invalid then. By the way in the case epoch_length is changed, we could reinitialize the state (with epoch and iteration zero along with a message to the user) as well.
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| return time.time() - start_time | ||
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| def debug(self, enabled: bool = True) -> None: |
Collaborator
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Do you still want to merge this method into the master?
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Fixes #1521
Description:
Engine.debug()methodCheck list: