From 54931dd4e1a099d7d6f144c4e12e5453deb3aa26 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期三, 28 六月 2023 10:41:57 +0800
Subject: [PATCH] Merge branch 'main' of https://github.com/alibaba-damo-academy/FunASR into main
---
funasr/tasks/diar.py | 37 ++++++++++++++++++++++++++++++-------
1 files changed, 30 insertions(+), 7 deletions(-)
diff --git a/funasr/tasks/diar.py b/funasr/tasks/diar.py
index 9875f6a..2625fec 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
@@ -50,7 +58,7 @@
from funasr.modules.eend_ola.encoder_decoder_attractor import EncoderDecoderAttractor
from funasr.tasks.abs_task import AbsTask
from funasr.torch_utils.initialize import initialize
-from funasr.train.abs_espnet_model import AbsESPnetModel
+from funasr.models.base_model import FunASRModel
from funasr.train.class_choices import ClassChoices
from funasr.train.trainer import Trainer
from funasr.utils.types import float_or_none
@@ -106,7 +114,7 @@
sond=DiarSondModel,
eend_ola=DiarEENDOLAModel,
),
- type_check=AbsESPnetModel,
+ type_check=FunASRModel,
default="sond",
)
encoder_choices = ClassChoices(
@@ -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.
@@ -536,9 +544,9 @@
args["cmvn_file"] = cmvn_file
args = argparse.Namespace(**args)
model = cls.build_model(args)
- if not isinstance(model, AbsESPnetModel):
+ if not isinstance(model, FunASRModel):
raise RuntimeError(
- f"model must inherit {AbsESPnetModel.__name__}, but got {type(model)}"
+ f"model must inherit {FunASRModel.__name__}, but got {type(model)}"
)
model.to(device)
model_dict = dict()
@@ -562,12 +570,27 @@
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)
logging.info("model_file is saved to pth: {}".format(model_name_pth))
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(
@@ -879,9 +902,9 @@
args = yaml.safe_load(f)
args = argparse.Namespace(**args)
model = cls.build_model(args)
- if not isinstance(model, AbsESPnetModel):
+ if not isinstance(model, FunASRModel):
raise RuntimeError(
- f"model must inherit {AbsESPnetModel.__name__}, but got {type(model)}"
+ f"model must inherit {FunASRModel.__name__}, but got {type(model)}"
)
if model_file is not None:
if device == "cuda":
--
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