init param

游雁

2024-02-28 811ebea5b0d4b112a494b3ee9a63c4e35098dbf5

init param

 funasr/train_utils/load_pretrained_model.py

@@ -38,52 +38,17 @@
                )
    return match_state

def assigment_scope_map(dst_state: dict, src_state: dict, scope_map: str=None):
    """Compute the union of the current variables and checkpoint variables."""
    import collections
    import re

    # current model variables
    name_to_variable = collections.OrderedDict()
    for name, var in dst_state.items():
        name_to_variable[name] = var
	
    scope_map_num = 0
    if scope_map is not None:
        scope_map = scope_map.split(",")
        scope_map_num = len(scope_map) // 2
        for scope_map_idx in range(scope_map_num):
            scope_map_id = scope_map_idx * 2
            logging.info('assignment_map from scope {} to {}'.format(scope_map[scope_map_id], scope_map[scope_map_id+1]))
	
    assignment_map = {}
    for name, var in src_state.items():

        if scope_map:
            for scope_map_idx in range(scope_map_num):
                scope_map_id = scope_map_idx * 2
                try:
                    idx = name.index(scope_map[scope_map_id])
                    new_name = scope_map[scope_map_id+1] + name[idx + len(scope_map[scope_map_id]):]
                    if new_name in name_to_variable:
                        assignment_map[name] = var
                except:
                    continue
        else:
            if name in name_to_variable:
                assignment_map[name] = var
	
    return assignment_map


def load_pretrained_model(
    path: str,
    model: torch.nn.Module,
    ignore_init_mismatch: bool,
    ignore_init_mismatch: bool=True,
    map_location: str = "cpu",
    oss_bucket=None,
    scope_map="module.:none",
    excludes=None,
    ignore_mismatch=False,
    **kwargs,
):
    """Load a model state and set it to the model.

@@ -112,10 +77,7 @@
        scope_map = scope_map.split(",")
    
    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:
@@ -130,18 +92,14 @@
                    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]
            if ignore_init_mismatch and dst_state[k].shape != src_state[k_src].shape:
                print(f"ignore_mismatch:{ignore_mismatch}, dst: {k, dst_state[k].shape}, src: {k_src, src_state[k_src].shape}")
            else:
                dst_state[k] = src_state[k_src]


        else:
            print(f"Warning, miss key in ckpt: {k}, mapped: {k_src}")
            
    flag = obj.load_state_dict(dst_state, strict=False)
    flag = obj.load_state_dict(dst_state, strict=True)
    # print(flag)