From e615585fd3e40531fb714586d98c6a307a95c03d Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期四, 22 二月 2024 17:31:57 +0800
Subject: [PATCH] test
---
funasr/train_utils/load_pretrained_model.py | 10 ++++++----
1 files changed, 6 insertions(+), 4 deletions(-)
diff --git a/funasr/train_utils/load_pretrained_model.py b/funasr/train_utils/load_pretrained_model.py
index ff96ebb..aec31e3 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]],
@@ -99,14 +99,16 @@
# import pdb;
# pdb.set_trace()
print(f"ckpt: {path}")
+ pdb.set_trace()
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)
+ pdb.set_trace()
if "state_dict" in src_state:
src_state = src_state["state_dict"]
-
+ pdb.set_trace()
for k in dst_state.keys():
if not k.startswith("module.") and "module." + k in src_state.keys():
k_ddp = "module." + k
@@ -116,9 +118,9 @@
dst_state[k] = src_state[k_ddp]
else:
print(f"Miss key in ckpt: model: {k}, ckpt: {k_ddp}")
-
+ pdb.set_trace()
flag = obj.load_state_dict(dst_state, strict=True)
- print(flag)
+ # print(flag)
# def load_pretrained_model(
# path: str,
--
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