From b15db52e4e67da8a133a67e8ffa415386de48b40 Mon Sep 17 00:00:00 2001
From: zhuyunfeng <10596244@qq.com>
Date: 星期二, 09 五月 2023 23:03:15 +0800
Subject: [PATCH] Add contributor
---
funasr/tasks/diar.py | 25 ++++++++++++++++++++++++-
1 files changed, 24 insertions(+), 1 deletions(-)
diff --git a/funasr/tasks/diar.py b/funasr/tasks/diar.py
index 9875f6a..45e4ce7 100644
--- a/funasr/tasks/diar.py
+++ b/funasr/tasks/diar.py
@@ -1,3 +1,11 @@
+"""
+Author: Speech Lab, Alibaba Group, China
+SOND: Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
+https://arxiv.org/abs/2211.10243
+TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization
+https://arxiv.org/abs/2303.05397
+"""
+
import argparse
import logging
import os
@@ -507,7 +515,7 @@
config_file: Union[Path, str] = None,
model_file: Union[Path, str] = None,
cmvn_file: Union[Path, str] = None,
- device: str = "cpu",
+ device: Union[str, torch.device] = "cpu",
):
"""Build model from the files.
@@ -562,6 +570,7 @@
model.load_state_dict(model_dict)
else:
model_dict = torch.load(model_file, map_location=device)
+ model_dict = cls.fileter_model_dict(model_dict, model.state_dict())
model.load_state_dict(model_dict)
if model_name_pth is not None and not os.path.exists(model_name_pth):
torch.save(model_dict, model_name_pth)
@@ -570,6 +579,20 @@
return model, args
@classmethod
+ def fileter_model_dict(cls, src_dict: dict, dest_dict: dict):
+ from collections import OrderedDict
+ new_dict = OrderedDict()
+ for key, value in src_dict.items():
+ if key in dest_dict:
+ new_dict[key] = value
+ else:
+ logging.info("{} is no longer needed in this model.".format(key))
+ for key, value in dest_dict.items():
+ if key not in new_dict:
+ logging.warning("{} is missed in checkpoint.".format(key))
+ return new_dict
+
+ @classmethod
def convert_tf2torch(
cls,
model,
--
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