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fix(pipelines): support passing decoder model + tokenizer #319
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QQ: why is
NeuronModelForCausalLM
not a sublass ofNeuronBseModel
?There was a problem hiding this comment.
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Because
NeuronBaseModel
is based on JIT models and implements the corresponding conversion logic.NeuronModelForCausalLM
is a subclass ofNeuronDecoderModel
that usestransformers-neuronx
models instead.We could refactor to add a common class to both though, since the latest subclasses of
NeuronBaseModel
are overriding pretty much all its methods now.There was a problem hiding this comment.
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Wouldn't it make more sense to use
NeuronDecoderModel
here?There was a problem hiding this comment.
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I guess it would be good to refactor it if possible. But also it's not pressing and can be postponed to when we have more bandwidth!
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I will wait until @JingyaHuang 's pull-request on T5 is merged as it is a new subclass, and any change I make before that to the base class will result in nightmarish conflicts.