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This commit is contained in:
游雁
2024-06-12 15:45:03 +08:00
parent 407625a734
commit 6a74eb706c
2 changed files with 39 additions and 10 deletions
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funasr/train_utils/load_pretrained_model.py
+5 -1
View File
@@ -56,11 +56,15 @@ def load_pretrained_model(
logging.info(f"excludes: {excludes}")
for k in dst_state.keys():
excludes_flag = False
if excludes is not None:
for k_ex in excludes:
if k.startswith(k_ex):
logging.info(f"key: {{k}} matching: {k_ex}, excluded")
continue
excludes_flag = True
break
if excludes_flag:
continue
k_src = k
funasr/train_utils/trainer_ds.py
+34 -9
View File
@@ -147,10 +147,16 @@ class Trainer:
self.use_deepspeed = use_deepspeed
self.deepspeed_config = kwargs.get("deepspeed_config", "")
self.excludes = kwargs.get("excludes", None)
if self.excludes is not None:
if isinstance(self.excludes, str):
self.excludes = self.excludes.split(",")
excludes = kwargs.get("excludes", None)
if excludes is not None:
if isinstance(excludes, str):
excludes = excludes.split(",")
self.excludes = excludes
effective_save_name_excludes = kwargs.get("effective_save_name_excludes", None)
if effective_save_name_excludes is not None:
if isinstance(effective_save_name_excludes, str):
effective_save_name_excludes = effective_save_name_excludes.split(",")
self.effective_save_name_excludes = effective_save_name_excludes
def save_checkpoint(
self,
@@ -285,7 +291,6 @@ class Trainer:
# self.step_or_epoch += 1
state = {
"epoch": epoch,
"state_dict": model.state_dict(),
"optimizer": optim.state_dict(),
"scheduler": scheduler.state_dict(),
"saved_ckpts": self.saved_ckpts,
@@ -303,7 +308,23 @@ class Trainer:
}
step = step_in_epoch
if hasattr(model, "module"):
state["state_dict"] = model.module.state_dict()
state_dict = model.module.state_dict()
else:
state_dict = model.state_dict()
if self.effective_save_name_excludes is not None:
dst_state_dict = {}
for k in state_dict.keys():
for k_ex in self.effective_save_name_excludes:
k_tmp = k.replace("module.", "")
if k.startswith(k_ex):
logging.info(f"key: {{k}} matching: {k_ex}, not save it")
break
else:
dst_state_dict[k] = state_dict[k]
state["state_dict"] = dst_state_dict
else:
state["state_dict"] = state_dict
if scaler:
state["scaler_state"] = scaler.state_dict()
@@ -444,12 +465,16 @@ class Trainer:
src_state = checkpoint["state_dict"]
dst_state = model.state_dict()
for k in dst_state.keys():
if excludes is not None:
for k_ex in excludes:
excludes_flag = False
if self.excludes is not None:
for k_ex in self.excludes:
k_tmp = k.replace("module.", "")
if k_tmp.startswith(k_ex):
logging.info(f"key: {{k}} matching: {k_ex}, excluded")
continue
excludes_flag = True
break
if excludes_flag:
continue
if not k.startswith("module.") and "module." + k in src_state.keys():
k_ddp = "module." + k
elif k.startswith("module.") and "module." + k not in src_state.keys():