From f57b68121a526baea43b2e93f4540d8a2995f633 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 29 四月 2024 15:15:24 +0800
Subject: [PATCH] batch
---
funasr/train_utils/load_pretrained_model.py | 119 +++++++++++++++++++++++++++--------------------------------
1 files changed, 54 insertions(+), 65 deletions(-)
diff --git a/funasr/train_utils/load_pretrained_model.py b/funasr/train_utils/load_pretrained_model.py
index a6596a0..02abfd5 100644
--- a/funasr/train_utils/load_pretrained_model.py
+++ b/funasr/train_utils/load_pretrained_model.py
@@ -7,6 +7,7 @@
import torch
import torch.nn
import torch.optim
+import pdb
def filter_state_dict(
@@ -16,8 +17,8 @@
"""Filter name, size mismatch instances between dicts.
Args:
- dst_state: reference state dict for filtering
- src_state: target state dict for filtering
+ dst_state: reference state dict for filtering
+ src_state: target state dict for filtering
"""
match_state = {}
@@ -40,88 +41,76 @@
def load_pretrained_model(
- init_param: str,
+ path: str,
model: torch.nn.Module,
- ignore_init_mismatch: bool,
+ ignore_init_mismatch: bool = True,
map_location: str = "cpu",
oss_bucket=None,
+ scope_map=[],
+ excludes=None,
+ **kwargs,
):
"""Load a model state and set it to the model.
Args:
- init_param: <file_path>:<src_key>:<dst_key>:<exclude_Keys>
+ init_param: <file_path>:<src_key>:<dst_key>:<exclude_Keys>
Examples:
- >>> load_pretrained_model("somewhere/model.pb", model)
- >>> load_pretrained_model("somewhere/model.pb:decoder:decoder", model)
- >>> load_pretrained_model("somewhere/model.pb:decoder:decoder:", model)
- >>> load_pretrained_model(
- ... "somewhere/model.pb:decoder:decoder:decoder.embed", model
- ... )
- >>> load_pretrained_model("somewhere/decoder.pb::decoder", model)
+
"""
- sps = init_param.split(":", 4)
- if len(sps) == 4:
- path, src_key, dst_key, excludes = sps
- elif len(sps) == 3:
- path, src_key, dst_key = sps
- excludes = None
- elif len(sps) == 2:
- path, src_key = sps
- dst_key, excludes = None, None
- else:
- (path,) = sps
- src_key, dst_key, excludes = None, None, None
- if src_key == "":
- src_key = None
- if dst_key == "":
- dst_key = None
- if dst_key is None:
- obj = model
- else:
+ obj = model
+ dst_state = obj.state_dict()
- def get_attr(obj: Any, key: str):
- """Get an nested attribute.
-
- >>> class A(torch.nn.Module):
- ... def __init__(self):
- ... super().__init__()
- ... self.linear = torch.nn.Linear(10, 10)
- >>> a = A()
- >>> assert A.linear.weight is get_attr(A, 'linear.weight')
-
- """
- if key.strip() == "":
- return obj
- for k in key.split("."):
- obj = getattr(obj, k)
- return obj
-
- obj = get_attr(model, dst_key)
+ 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)
+
+ src_state = src_state["state_dict"] if "state_dict" in src_state else src_state
+ src_state = src_state["model_state_dict"] if "model_state_dict" in src_state else src_state
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 src_key is not None:
- src_state = {
- k[len(src_key) + 1 :]: v
- for k, v in src_state.items()
- if k.startswith(src_key)
- }
+ if isinstance(scope_map, str):
+ scope_map = scope_map.split(",")
+ scope_map += ["module.", "None"]
- dst_state = obj.state_dict()
- if ignore_init_mismatch:
- src_state = filter_state_dict(dst_state, src_state)
+ for k in dst_state.keys():
- 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)
+ 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 dst_prefix == "" and (src_prefix + k) in src_state.keys():
+ k_src = src_prefix + k
+ if not k_src.startswith("module."):
+ print(f"init param, map: {k} from {k_src} in ckpt")
+ elif (
+ k.startswith(dst_prefix)
+ and k.replace(dst_prefix, src_prefix, 1) in src_state.keys()
+ ):
+ k_src = k.replace(dst_prefix, src_prefix, 1)
+ if not k_src.startswith("module."):
+ print(f"init param, map: {k} from {k_src} in ckpt")
+
+ if k_src in src_state.keys():
+ if ignore_init_mismatch and dst_state[k].shape != src_state[k_src].shape:
+ print(
+ f"ignore_init_mismatch:{ignore_init_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=True)
+ # print(flag)
--
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