init param

游雁

2024-02-28 5d916b5a8a68fa85e79f16c2df5c45871b5298e6

 funasr/train_utils/load_pretrained_model.py

@@ -75,13 +75,14 @@
   
   return assignment_map


def load_pretrained_model(
   path: str,
   model: torch.nn.Module,
   ignore_init_mismatch: bool,
   map_location: str = "cpu",
   oss_bucket=None,
   scope_map=None,
   scope_map="module.:none",
   excludes=None,
):
   """Load a model state and set it to the model.
@@ -94,25 +95,53 @@
   """
   
   obj = model
   dst_state = obj.state_dict()
   
   print(f"ckpt: {path}")
   if oss_bucket is None:
      src_state = torch.load(path, map_location=map_location)
   else:
      buffer = BytesIO(oss_bucket.get_object(path).read())
      src_state = torch.load(buffer, map_location=map_location)
   if "state_dict" in src_state:
      src_state = src_state["state_dict"]
	
   src_state = src_state["model"] if "model" in src_state else src_state
   
   if excludes is not None:
      for e in excludes.split(","):
         src_state = {k: v for k, v in src_state.items() if not k.startswith(e)}
   if isinstance(scope_map, str):
      scope_map = scope_map.split(",")
   
   dst_state = obj.state_dict()
   src_state = assigment_scope_map(dst_state, src_state, scope_map)
	
   if ignore_init_mismatch:
      src_state = filter_state_dict(dst_state, src_state)
	
   logging.debug("Loaded src_state keys: {}".format(src_state.keys()))
   logging.debug("Loaded dst_state keys: {}".format(dst_state.keys()))
   # dst_state.update(src_state)
   obj.load_state_dict(dst_state)
   for k in dst_state.keys():
      # if not k.startswith("module.") and "module." + k in src_state.keys():
      #    k_ddp = "module." + k
      # else:
      #    k_ddp = k
      k_src = k

      if scope_map is not None:
         src_prefix = ""
         dst_prefix = ""
         for i in range(0, len(scope_map), 2):
            src_prefix = scope_map[i] if scope_map[i].lower() != "none" else ""
            dst_prefix = scope_map[i+1] if scope_map[i+1].lower() != "none" else ""

            if k.startswith(dst_prefix) and k.replace(dst_prefix, src_prefix) in src_state.keys():
               k_src = k.replace(dst_prefix, src_prefix)
               print(f"init param, map: {k} from {k_src} in ckpt")
					
      if k_src in src_state.keys():
         dst_state[k] = src_state[k_src]
				
      # if k_ddp.startswith("audio_encoder"):
      #    if k_ddp.replace("audio_encoder", "encoder.model") in src_state.keys():
      #       k_ddp = k_ddp.replace("audio_encoder", "encoder.model")
      # if k_ddp.startswith("adaptor"):
      #    if k_ddp.replace("adaptor", "encoder_projector") in src_state.keys():
      #       k_ddp = k_ddp.replace("adaptor", "encoder_projector")
      # if k_ddp in src_state:
      #    dst_state[k] = src_state[k_ddp]
      else:
         print(f"Warning, miss key in ckpt: {k}, mapped: {k_src}")
			
   flag = obj.load_state_dict(dst_state, strict=False)
   # print(flag)