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12 changes: 6 additions & 6 deletions src/twinkle/model/multi_lora.py
Original file line number Diff line number Diff line change
Expand Up @@ -336,7 +336,7 @@ def _lora_A(x, *args, **kwargs):

def _get_weight_tensors(self):
tensors = self._get_weight_tensors_origin()
return [t[:_lora.tenant_config.r, :] for t in tensors]
return [t[:_lora.tenant_config.r, :].contiguous() for t in tensors]

lora_A._get_weight_tensors_origin = lora_A._get_weight_tensors
lora_A._get_weight_tensors = MethodType(_get_weight_tensors, lora_A)
Expand All @@ -353,7 +353,7 @@ def _lora_B(x, *args, **kwargs):

def _get_weight_tensors(self):
tensors = self._get_weight_tensors_origin()
return [t[:, :_lora.tenant_config.r] for t in tensors]
return [t[:, :_lora.tenant_config.r].contiguous() for t in tensors]

lora_B._get_weight_tensors_origin = lora_B._get_weight_tensors
lora_B._get_weight_tensors = MethodType(_get_weight_tensors, lora_B)
Expand Down Expand Up @@ -572,13 +572,13 @@ def save_lora_converter(self, name, parameter, adapter_name):
if _param is None:
pass
elif 'embedding_A' in name:
_param = _param[:, :_lora.tenant_config.r]
_param = _param[:, :_lora.tenant_config.r].clone()
elif 'embedding_B' in name:
_param = _param[:_lora.tenant_config.r, :]
_param = _param[:_lora.tenant_config.r, :].clone()
elif '_A' in name:
_param = _param[:_lora.tenant_config.r, :]
_param = _param[:_lora.tenant_config.r, :].clone()
elif '_B' in name:
_param = _param[:, :_lora.tenant_config.r]
_param = _param[:, :_lora.tenant_config.r].clone()
name = name.replace(f'.{_lora.adapter_name}.', '.')
return name, _param
else:
Expand Down
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