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adapt transformers 4.45 #2020

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adapt transformers 4.45 #2020

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3 changes: 3 additions & 0 deletions neural_compressor/torch/algorithms/weight_only/awq.py
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Expand Up @@ -516,6 +516,9 @@ def block_inference(self, model):
"""
total_out = []
for args, kwargs in zip(self.total_block_args, self.total_block_kwargs):
# to avoid layer_past: Dynamic_cache when transformers higher than 4.45.1
if "layer_past" in kwargs.keys() and kwargs["layer_past"] is not None:
kwargs["layer_past"] = None
out = model(*args, **kwargs)
if isinstance(out, tuple): # pragma: no cover
out = out[0]
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