From 47343b5c2f4e1256f60f46d8da0aa2e5de39b6c7 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期六, 05 八月 2023 17:53:08 +0800
Subject: [PATCH] init repo
---
funasr/tasks/diar.py | 26 +++++++++-----------------
1 files changed, 9 insertions(+), 17 deletions(-)
diff --git a/funasr/tasks/diar.py b/funasr/tasks/diar.py
index 0fa8c83..a486a46 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
@@ -13,8 +21,6 @@
import numpy as np
import torch
import yaml
-from typeguard import check_argument_types
-from typeguard import check_return_type
from funasr.datasets.collate_fn import CommonCollateFn
from funasr.datasets.preprocessor import CommonPreprocessor
@@ -106,7 +112,7 @@
sond=DiarSondModel,
eend_ola=DiarEENDOLAModel,
),
- type_check=AbsESPnetModel,
+ type_check=FunASRModel,
default="sond",
)
encoder_choices = ClassChoices(
@@ -336,7 +342,6 @@
[Collection[Tuple[str, Dict[str, np.ndarray]]]],
Tuple[List[str], Dict[str, torch.Tensor]],
]:
- assert check_argument_types()
# NOTE(kamo): int value = 0 is reserved by CTC-blank symbol
return CommonCollateFn(float_pad_value=0.0, int_pad_value=-1)
@@ -344,7 +349,6 @@
def build_preprocess_fn(
cls, args: argparse.Namespace, train: bool
) -> Optional[Callable[[str, Dict[str, np.array]], Dict[str, np.ndarray]]]:
- assert check_argument_types()
if args.use_preprocessor:
retval = CommonPreprocessor(
train=train,
@@ -374,7 +378,6 @@
)
else:
retval = None
- assert check_return_type(retval)
return retval
@classmethod
@@ -393,12 +396,10 @@
cls, train: bool = True, inference: bool = False
) -> Tuple[str, ...]:
retval = ()
- assert check_return_type(retval)
return retval
@classmethod
def build_model(cls, args: argparse.Namespace):
- assert check_argument_types()
if isinstance(args.token_list, str):
with open(args.token_list, encoding="utf-8") as f:
token_list = [line.rstrip() for line in f]
@@ -497,7 +498,6 @@
if args.init is not None:
initialize(model, args.init)
- assert check_return_type(model)
return model
# ~~~~~~~~~ The methods below are mainly used for inference ~~~~~~~~~
@@ -520,7 +520,6 @@
device: Device type, "cpu", "cuda", or "cuda:N".
"""
- assert check_argument_types()
if config_file is None:
assert model_file is not None, (
"The argument 'model_file' must be provided "
@@ -756,7 +755,6 @@
[Collection[Tuple[str, Dict[str, np.ndarray]]]],
Tuple[List[str], Dict[str, torch.Tensor]],
]:
- assert check_argument_types()
# NOTE(kamo): int value = 0 is reserved by CTC-blank symbol
return CommonCollateFn(float_pad_value=0.0, int_pad_value=-1)
@@ -764,7 +762,6 @@
def build_preprocess_fn(
cls, args: argparse.Namespace, train: bool
) -> Optional[Callable[[str, Dict[str, np.array]], Dict[str, np.ndarray]]]:
- assert check_argument_types()
# if args.use_preprocessor:
# retval = CommonPreprocessor(
# train=train,
@@ -794,7 +791,6 @@
# )
# else:
# retval = None
- # assert check_return_type(retval)
return None
@classmethod
@@ -813,12 +809,10 @@
cls, train: bool = True, inference: bool = False
) -> Tuple[str, ...]:
retval = ()
- assert check_return_type(retval)
return retval
@classmethod
def build_model(cls, args: argparse.Namespace):
- assert check_argument_types()
# 1. frontend
if args.input_size is None or args.frontend == "wav_frontend_mel23":
@@ -857,7 +851,6 @@
if args.init is not None:
initialize(model, args.init)
- assert check_return_type(model)
return model
# ~~~~~~~~~ The methods below are mainly used for inference ~~~~~~~~~
@@ -880,7 +873,6 @@
device: Device type, "cpu", "cuda", or "cuda:N".
"""
- assert check_argument_types()
if config_file is None:
assert model_file is not None, (
"The argument 'model_file' must be provided "
--
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