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[legacy] move trainer to legacy (#4545)

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* [legacy] move trainer to legacy

* [doc] update docs related to trainer

* [test] ignore legacy test
This commit is contained in:
Hongxin Liu
2023-08-31 13:51:28 +08:00
parent 807e01a4ba
commit 89fe027787
32 changed files with 63 additions and 153 deletions
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3
docs/source/zh-Hans/advanced_tutorials/train_gpt_using_hybrid_parallelism.md
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@@ -43,7 +43,7 @@ from colossalai.engine.schedule import (InterleavedPipelineSchedule,
PipelineSchedule)
from colossalai.logging import disable_existing_loggers, get_dist_logger
from colossalai.nn.layer.wrapper import PipelineSharedModuleWrapper
from colossalai.trainer import Trainer, hooks
from colossalai.legacy.trainer import Trainer, hooks
from colossalai.utils.timer import MultiTimer
from model_zoo.gpt import GPTLMLoss
from torch.nn import functional as F
@@ -273,3 +273,4 @@ def train():
return_output_label=False,
)
```
<!-- doc-test-command: echo -->

3
docs/source/zh-Hans/advanced_tutorials/train_vit_using_pipeline_parallelism.md
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@@ -36,7 +36,7 @@ from colossalai.builder import build_pipeline_model
from colossalai.engine.schedule import (InterleavedPipelineSchedule,
PipelineSchedule)
from colossalai.logging import disable_existing_loggers, get_dist_logger
from colossalai.trainer import Trainer, hooks
from colossalai.legacy.trainer import Trainer, hooks
from colossalai.utils import MultiTimer, get_dataloader
from timm.models import vision_transformer as vit
from torchvision import transforms
@@ -244,3 +244,4 @@ def train():
hooks=hook_list,
display_progress=True)
```
<!-- doc-test-command: echo -->

3
docs/source/zh-Hans/advanced_tutorials/train_vit_with_hybrid_parallelism.md
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@@ -74,7 +74,7 @@ from colossalai.core import global_context as gpc
from colossalai.logging import disable_existing_loggers, get_dist_logger
from colossalai.nn.lr_scheduler import LinearWarmupLR
from colossalai.nn.metric import Accuracy
from colossalai.trainer import Trainer, hooks
from colossalai.legacy.trainer import Trainer, hooks
```
- 其他模块
@@ -589,3 +589,4 @@ torchrun --standalone --nproc_per_node <NUM_GPUs> train_hybrid.py --config ./co
# If your torch >= 1.9.0
# python -m torch.distributed.run --standalone --nproc_per_node= <NUM_GPUs> train_hybrid.py --config ./configs/config_hybrid_parallel.py
```
<!-- doc-test-command: echo -->