Coverage for / home / jenkins / .local / lib / python3.10 / site-packages / hyper_parallel / trainer / callbacks / base.py: 100%
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« prev ^ index » next coverage.py v7.13.1, created at 2026-10-25 05:45 +0800
« prev ^ index » next coverage.py v7.13.1, created at 2026-10-25 05:45 +0800
1# Copyright 2025 Bytedance Ltd. and/or its affiliates
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
15from typing import TYPE_CHECKING, Any, Dict, List
17from hyper_parallel.trainer.state import TrainerState
20if TYPE_CHECKING:
21 from hyper_parallel.trainer.base import BaseTrainer
24class Callback:
25 def __init__(self, trainer: "BaseTrainer") -> None:
26 """Bind the callback to its owning trainer."""
27 self.trainer = trainer
28 self.mesh = trainer.mesh
30 def on_step_begin(self, state: TrainerState, micro_batches: List[Dict[str, Any]] = None, **kwargs: Any) -> None:
31 """Hook invoked at the start of each training step."""
33 def on_step_end(
34 self, state: TrainerState, loss: float, loss_dict: Dict[str, float], grad_norm: float, **kwargs: Any
35 ) -> None:
36 """Hook invoked at the end of each training step."""
38 def on_micro_step_begin(self, state: TrainerState, micro_batch: Dict[str, Any], **kwargs: Any) -> None:
39 """Hook invoked at the start of each gradient-accumulation micro step."""
41 def on_micro_step_end(self, state: TrainerState, **kwargs: Any) -> None:
42 """Hook invoked at the end of each gradient-accumulation micro step."""
44 def on_epoch_begin(self, state: TrainerState, **kwargs: Any) -> None:
45 """Hook invoked at the start of each epoch."""
47 def on_epoch_end(self, state: TrainerState, **kwargs: Any) -> None:
48 """Hook invoked at the end of each epoch."""
50 def on_train_begin(self, state: TrainerState, **kwargs: Any) -> None:
51 """Hook invoked at the start of training."""
53 def on_train_end(self, state: TrainerState, **kwargs: Any) -> None:
54 """Hook invoked at the end of training."""