From eb92e79fb94e7b3df8f27c8ce3e607a70dff2a2e Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 15:21:32 +0800
Subject: [PATCH] test
---
funasr/train_utils/load_pretrained_model.py | 9 ++++-----
1 files changed, 4 insertions(+), 5 deletions(-)
diff --git a/funasr/train_utils/load_pretrained_model.py b/funasr/train_utils/load_pretrained_model.py
index 5ba9bb7..9127e2f 100644
--- a/funasr/train_utils/load_pretrained_model.py
+++ b/funasr/train_utils/load_pretrained_model.py
@@ -7,7 +7,7 @@
import torch
import torch.nn
import torch.optim
-
+import pdb
def filter_state_dict(
dst_state: Dict[str, Union[float, torch.Tensor]],
@@ -96,17 +96,17 @@
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)
else:
buffer = BytesIO(oss_bucket.get_object(path).read())
src_state = torch.load(buffer, map_location=map_location)
+
if "state_dict" in src_state:
src_state = src_state["state_dict"]
-
+
for k in dst_state.keys():
if not k.startswith("module.") and "module." + k in src_state.keys():
k_ddp = "module." + k
@@ -116,7 +116,6 @@
dst_state[k] = src_state[k_ddp]
else:
print(f"Miss key in ckpt: model: {k}, ckpt: {k_ddp}")
-
flag = obj.load_state_dict(dst_state, strict=True)
# print(flag)
--
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