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[Typing] Mypy typing part 2 #4043
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@@ -379,7 +383,8 @@ def _error_callback(self, exc: Exception) -> None: | |||
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async def get_tokenizer(self) -> "PreTrainedTokenizer": | |||
if self.engine_use_ray: | |||
return await self.engine.get_tokenizer.remote() | |||
breakpoint() | |||
return await self.engine.get_tokenizer.remote() # type: ignore |
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all these engine related code seems a bit hacky and it was difficult to fix
vllm/model_executor/model_loader.py
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@@ -116,7 +116,7 @@ def get_model(model_config: ModelConfig, device_config: DeviceConfig, | |||
# to retain tensorizer args from CLI. | |||
model_config.load_format = ParameterizedLoadFormat( | |||
model_config.load_format) | |||
model_config.load_format.params = ( | |||
model_config.load_format.params = ( # type: ignore |
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@sangstar I found this approach is a bit hacky (dynamically loading load_format) and doesn't work well with typing. Is there any good suggestion to fix it?
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I believe @Yard1 's refactor addressed this :D
cc @simon-mo @zhuohan123 this PR is ready to review |
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Thanks for working on this. I made a quick skim.
# Child class should use initialize in their init. | ||
self.fsm: FSM | ||
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def adapt_tokenizer(self, tokenizer: PreTrainedTokenizerBase): |
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not sure why is this added back. this might be from a bad merge..
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yep bad merge. fixed!
@simon-mo I think we can merge it (I believe spec decoding failure is from the master) |
Co-authored-by: SangBin Cho <[email protected]>
Co-authored-by: SangBin Cho <[email protected]>
Co-authored-by: SangBin Cho <[email protected]>
Co-authored-by: SangBin Cho <[email protected]>
Co-authored-by: SangBin Cho <[email protected]>
NOTE: There are many fields that are lazy initialized and assume these are accessed only after lazy initialization is done. I fixed them by using the solution suggested in this approach; https://stackoverflow.com/questions/60925137/using-mypy-with-with-lazy-initialization-of-instance-attributes
Handles some parts of #3680
Remaining:
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