From 1988fe85f6d4e2d2f809e705e13d69d0b57bd0fc Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 04 五月 2023 19:27:00 +0800
Subject: [PATCH] update
---
funasr/datasets/large_datasets/utils/padding.py | 16 ++++++++--------
1 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/funasr/datasets/large_datasets/utils/padding.py b/funasr/datasets/large_datasets/utils/padding.py
index 7c66608..20ba7a3 100644
--- a/funasr/datasets/large_datasets/utils/padding.py
+++ b/funasr/datasets/large_datasets/utils/padding.py
@@ -13,16 +13,16 @@
batch = {}
data_names = data[0].keys()
for data_name in data_names:
- if data_name == "key" or data_name == "sampling_rate" or data_name == 'hotword_indxs':
- batch[data_name] = data[0][data_name]
+ if data_name == "key" or data_name == "sampling_rate":
continue
else:
- if data[0][data_name].dtype.kind == "i":
- pad_value = int_pad_value
- tensor_type = torch.int64
- else:
- pad_value = float_pad_value
- tensor_type = torch.float32
+ if data_name != 'hotword_indxs':
+ if data[0][data_name].dtype.kind == "i":
+ pad_value = int_pad_value
+ tensor_type = torch.int64
+ else:
+ pad_value = float_pad_value
+ tensor_type = torch.float32
tensor_list = [torch.tensor(np.copy(d[data_name]), dtype=tensor_type) for d in data]
tensor_lengths = torch.tensor([len(d[data_name]) for d in data], dtype=torch.int32)
--
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