From 98abc0e5ac1a1da0fe1802d9ffb623802fbf0b2f Mon Sep 17 00:00:00 2001
From: jmwang66 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期四, 29 六月 2023 16:30:39 +0800
Subject: [PATCH] update setup (#686)
---
funasr/tasks/punctuation.py | 9 ---------
1 files changed, 0 insertions(+), 9 deletions(-)
diff --git a/funasr/tasks/punctuation.py b/funasr/tasks/punctuation.py
index a63bbe4..de5c897 100644
--- a/funasr/tasks/punctuation.py
+++ b/funasr/tasks/punctuation.py
@@ -9,8 +9,6 @@
import numpy as np
import torch
-from typeguard import check_argument_types
-from typeguard import check_return_type
from funasr.datasets.collate_fn import CommonCollateFn
from funasr.datasets.preprocessor import PuncTrainTokenizerCommonPreprocessor
@@ -47,7 +45,6 @@
@classmethod
def add_task_arguments(cls, parser: argparse.ArgumentParser):
# NOTE(kamo): Use '_' instead of '-' to avoid confusion
- assert check_argument_types()
group = parser.add_argument_group(description="Task related")
# NOTE(kamo): add_arguments(..., required=True) can't be used
@@ -126,7 +123,6 @@
# e.g. --encoder and --encoder_conf
class_choices.add_arguments(group)
- assert check_return_type(parser)
return parser
@classmethod
@@ -136,14 +132,12 @@
[Collection[Tuple[str, Dict[str, np.ndarray]]]],
Tuple[List[str], Dict[str, torch.Tensor]],
]:
- assert check_argument_types()
return CommonCollateFn(int_pad_value=0)
@classmethod
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()
token_types = [args.token_type, args.token_type]
token_lists = [args.token_list, args.punc_list]
bpemodels = [args.bpemodel, args.bpemodel]
@@ -161,7 +155,6 @@
)
else:
retval = None
- assert check_return_type(retval)
return retval
@classmethod
@@ -182,7 +175,6 @@
@classmethod
def build_model(cls, args: argparse.Namespace) -> PunctuationModel:
- 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]
@@ -223,5 +215,4 @@
if args.init is not None:
initialize(model, args.init)
- assert check_return_type(model)
return model
--
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