vad

游雁

2024-02-27 a3bb4013c39faa1d006dcb4d6d87ec9a6bb3770c

 funasr/train_utils/load_pretrained_model.py

@@ -96,8 +96,7 @@
   
   obj = model
   dst_state = obj.state_dict()
   # import pdb;
   # pdb.set_trace()
	
   print(f"ckpt: {path}")
   if oss_bucket is None:
      src_state = torch.load(path, map_location=map_location)
@@ -106,7 +105,9 @@
      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
	
   for k in dst_state.keys():
      if not k.startswith("module.") and "module." + k in src_state.keys():
         k_ddp = "module." + k
@@ -115,9 +116,9 @@
      if k_ddp in src_state:
         dst_state[k] = src_state[k_ddp]
      else:
         print(f"Miss key in ckpt: model: {k}, ckpt: {k_ddp}")
         print(f"Warning, miss key in ckpt: {k}, mapped: {k_ddp}")
         
   flag = obj.load_state_dict(dst_state, strict=True)
   flag = obj.load_state_dict(dst_state, strict=False)
   # print(flag)

# def load_pretrained_model(