mirror of
https://github.com/hpcaitech/ColossalAI.git
synced 2025-09-03 18:19:58 +00:00
[misc] update pre-commit and run all files (#4752)
* [misc] update pre-commit * [misc] run pre-commit * [misc] remove useless configuration files * [misc] ignore cuda for clang-format
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@@ -18,24 +18,16 @@ class BaseHook(ABC):
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self.priority = priority
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def after_hook_is_attached(self, trainer):
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"""Actions after hooks are attached to trainer.
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"""
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pass
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"""Actions after hooks are attached to trainer."""
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def before_train(self, trainer):
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"""Actions before training.
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"""
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pass
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"""Actions before training."""
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def after_train(self, trainer):
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"""Actions after training.
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"""
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pass
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"""Actions after training."""
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def before_train_iter(self, trainer):
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"""Actions before running a training iteration.
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"""
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pass
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"""Actions before running a training iteration."""
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def after_train_iter(self, trainer, output: Tensor, label: Tensor, loss: Tensor):
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"""Actions after running a training iteration.
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@@ -46,42 +38,27 @@ class BaseHook(ABC):
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label (:class:`torch.Tensor`): Labels of the input data.
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loss (:class:`torch.Tensor`): Loss between the output and input data.
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"""
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pass
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def before_train_epoch(self, trainer):
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"""Actions before starting a training epoch.
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"""
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pass
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"""Actions before starting a training epoch."""
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def after_train_epoch(self, trainer):
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"""Actions after finishing a training epoch.
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"""
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pass
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"""Actions after finishing a training epoch."""
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def before_test(self, trainer):
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"""Actions before evaluation.
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"""
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pass
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"""Actions before evaluation."""
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def after_test(self, trainer):
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"""Actions after evaluation.
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"""
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pass
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"""Actions after evaluation."""
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def before_test_epoch(self, trainer):
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"""Actions before starting a testing epoch.
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"""
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pass
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"""Actions before starting a testing epoch."""
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def after_test_epoch(self, trainer):
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"""Actions after finishing a testing epoch.
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"""
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pass
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"""Actions after finishing a testing epoch."""
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def before_test_iter(self, trainer):
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"""Actions before running a testing iteration.
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"""
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pass
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"""Actions before running a testing iteration."""
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def after_test_iter(self, trainer, output: Tensor, label: Tensor, loss: Tensor):
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"""Actions after running a testing iteration.
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@@ -92,7 +69,6 @@ class BaseHook(ABC):
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label (:class:`torch.Tensor`): Labels of the input data
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loss (:class:`torch.Tensor`): Loss between the output and input data
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"""
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pass
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def init_runner_states(self, trainer, key, val):
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"""Initializes trainer's state.
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