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hot-fix redundant import funasr (#12277)

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SONG Ge 2024-10-25 19:40:39 +08:00 committed by GitHub
parent a0c6432899
commit 08cb065370
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1 changed files with 9 additions and 2 deletions
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python/llm/src/ipex_llm/transformers/npu_model.py
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@ -93,6 +93,9 @@ class _BaseAutoModelClass:
warnings.warn("`torch_dtype` will be ignored, `torch.float` will be used") warnings.warn("`torch_dtype` will be ignored, `torch.float` will be used")
kwargs["torch_dtype"] = torch.float32 kwargs["torch_dtype"] = torch.float32
if hasattr(cls, "get_cls_model"):
cls.HF_Model = cls.get_cls_model()
low_bit = kwargs.pop("load_in_low_bit", "sym_int4") low_bit = kwargs.pop("load_in_low_bit", "sym_int4")
qtype_map = { qtype_map = {
"sym_int4": "sym_int4_rtn", "sym_int4": "sym_int4_rtn",
@ -574,8 +577,6 @@ class AutoModelForTokenClassification(_BaseAutoModelClass):
class FunAsrAutoModel(_BaseAutoModelClass): class FunAsrAutoModel(_BaseAutoModelClass):
import funasr
HF_Model = funasr.AutoModel
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
self.model = self.from_pretrained(*args, **kwargs) self.model = self.from_pretrained(*args, **kwargs)
@ -583,6 +584,12 @@ class FunAsrAutoModel(_BaseAutoModelClass):
def __getattr__(self, name): def __getattr__(self, name):
return getattr(self.model, name) return getattr(self.model, name)
@classmethod
def get_cls_model(cls):
import funasr
cls_model = funasr.AutoModel
return cls_model
@classmethod @classmethod
def optimize_npu_model(cls, *args, **kwargs): def optimize_npu_model(cls, *args, **kwargs):
from ipex_llm.transformers.npu_models.convert_mp import optimize_funasr from ipex_llm.transformers.npu_models.convert_mp import optimize_funasr