From 2a66366be4c2715870e4859fd5a5db6e8a9dc00a Mon Sep 17 00:00:00 2001
From: chenmengzheAAA <123789350+chenmengzheAAA@users.noreply.github.com>
Date: 星期四, 14 九月 2023 19:00:17 +0800
Subject: [PATCH] Merge pull request #956 from alibaba-damo-academy/chenmengzheAAA-patch-4
---
funasr/datasets/collate_fn.py | 5 -----
1 files changed, 0 insertions(+), 5 deletions(-)
diff --git a/funasr/datasets/collate_fn.py b/funasr/datasets/collate_fn.py
index d1ac64a..7ff70a7 100644
--- a/funasr/datasets/collate_fn.py
+++ b/funasr/datasets/collate_fn.py
@@ -6,8 +6,6 @@
import numpy as np
import torch
-from typeguard import check_argument_types
-from typeguard import check_return_type
from funasr.modules.nets_utils import pad_list, pad_list_all_dim
@@ -89,7 +87,6 @@
not_sequence: Collection[str] = (),
max_sample_size=None
):
- assert check_argument_types()
self.float_pad_value = float_pad_value
self.int_pad_value = int_pad_value
self.not_sequence = set(not_sequence)
@@ -120,7 +117,6 @@
) -> Tuple[List[str], Dict[str, torch.Tensor]]:
"""Concatenate ndarray-list to an array and convert to torch.Tensor.
"""
- assert check_argument_types()
uttids = [u for u, _ in data]
data = [d for _, d in data]
@@ -146,7 +142,6 @@
output[key + "_lengths"] = lens
output = (uttids, output)
- assert check_return_type(output)
return output
--
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