mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
2196844d1d
* multi tokenizer * support fsmn_kws, fsmn_kws_mt, sanm_kws, sanm_kws_streaming training * kws --------- Co-authored-by: pengteng.spt <pengteng.spt@alibaba-inc.com>
104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
from typing import Any
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from typing import Dict
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from typing import Union
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from io import BytesIO
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import logging
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import torch
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import torch.nn
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import torch.optim
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import pdb
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import copy
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def load_pretrained_model(
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path: str,
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model: torch.nn.Module,
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ignore_init_mismatch: bool = True,
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map_location: str = "cpu",
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oss_bucket=None,
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scope_map=[],
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excludes=None,
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**kwargs,
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):
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"""Load a model state and set it to the model.
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Args:
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init_param: <file_path>:<src_key>:<dst_key>:<exclude_Keys>
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Examples:
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"""
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obj = model
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dst_state = obj.state_dict()
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logging.info(f"ckpt: {path}")
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if oss_bucket is None:
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ori_state = torch.load(path, map_location=map_location)
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else:
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buffer = BytesIO(oss_bucket.get_object(path).read())
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ori_state = torch.load(buffer, map_location=map_location)
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src_state = copy.deepcopy(ori_state)
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src_state = src_state["state_dict"] if "state_dict" in src_state else src_state
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src_state = src_state["model_state_dict"] if "model_state_dict" in src_state else src_state
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src_state = src_state["model"] if "model" in src_state else src_state
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if isinstance(scope_map, str):
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scope_map = scope_map.split(",")
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scope_map += ["module.", "None"]
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logging.info(f"scope_map: {scope_map}")
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if excludes is not None:
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if isinstance(excludes, str):
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excludes = excludes.split(",")
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logging.info(f"excludes: {excludes}")
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for k in dst_state.keys():
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excludes_flag = False
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if excludes is not None:
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for k_ex in excludes:
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if k.startswith(k_ex):
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logging.info(f"key: {k} matching: {k_ex}, excluded")
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excludes_flag = True
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break
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if excludes_flag:
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continue
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k_src = k
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if scope_map is not None:
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src_prefix = ""
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dst_prefix = ""
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for i in range(0, len(scope_map), 2):
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src_prefix = scope_map[i] if scope_map[i].lower() != "none" else ""
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dst_prefix = scope_map[i + 1] if scope_map[i + 1].lower() != "none" else ""
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if dst_prefix == "" and (src_prefix + k) in src_state.keys():
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k_src = src_prefix + k
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if not k_src.startswith("module."):
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logging.info(f"init param, map: {k} from {k_src} in ckpt")
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elif (
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k.startswith(dst_prefix)
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and k.replace(dst_prefix, src_prefix, 1) in src_state.keys()
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):
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k_src = k.replace(dst_prefix, src_prefix, 1)
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if not k_src.startswith("module."):
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logging.info(f"init param, map: {k} from {k_src} in ckpt")
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if k_src in src_state.keys():
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if ignore_init_mismatch and dst_state[k].shape != src_state[k_src].shape:
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logging.info(
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f"ignore_init_mismatch:{ignore_init_mismatch}, dst: {k, dst_state[k].shape}, src: {k_src, src_state[k_src].shape}"
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)
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else:
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dst_state[k] = src_state[k_src]
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else:
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print(f"Warning, miss key in ckpt: {k}, {path}")
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flag = obj.load_state_dict(dst_state, strict=True)
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logging.info(f"Loading ckpt: {path}, status: {flag}")
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