From 33d3d2084403fd34b79c835d2f2fe04f6cd8f738 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 13 九月 2023 09:33:54 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add
---
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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