38 lines
1.3 KiB
Markdown
38 lines
1.3 KiB
Markdown
# Checkpoint Engine
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The `CheckpointEngine` was designed to modularized the checkpoint serialization. In this way, we can simply replace/refine the checkpoint serialization methods.
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### Interface for `CheckpointEngine`
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Basically, for checkpoint management(save/load by deepspeed with the given tag), the `CheckpointEngine` will:
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1. To make preliminaries ready by call `create(tag)`. For `torch`, we can just log some extra info as `torch` can directly call `save/load` without other preparation.
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2. After the `create(tag)`, deepspeed can call `save/load` to persist files into disk/memory/etc.
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3. When all the files for a tag are ready, deepspeed engine will call `commit()` to tell the checkpoint engine current checkpoint is complete. For original torch, it also plays the role of logger.
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```python
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class CheckpointEngine(object):
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# init checkpoint engine for save/load
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def __init__(self, config_params=None):
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pass
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def create(self, info:CheckpointCommitInfo):
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# create checkpoint on give tag for save/load.
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pass
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def save(self, state_dict, path: str):
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pass
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def load(self, path: str, map_location=None):
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pass
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def commit(self, info:CheckpointCommitInfo):
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# to tell checkpoint services if all files are readys.
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pass
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```
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