From 12d694f94cb4d25ee9a981a16f9197e4bb13b4eb Mon Sep 17 00:00:00 2001
From: Meng Wei <wmeng94@gmail.com>
Date: 星期三, 15 十一月 2023 16:24:51 +0800
Subject: [PATCH] fix benchmark links (#1092)
---
funasr/export/utils/torch_function.py | 12 ++++++++++++
1 files changed, 12 insertions(+), 0 deletions(-)
diff --git a/funasr/export/utils/torch_function.py b/funasr/export/utils/torch_function.py
index e8e5e1a..a078a7e 100644
--- a/funasr/export/utils/torch_function.py
+++ b/funasr/export/utils/torch_function.py
@@ -44,6 +44,18 @@
else:
return mask
+class sequence_mask(nn.Module):
+ def __init__(self, max_seq_len=512, flip=True):
+ super().__init__()
+
+ def forward(self, lengths, max_seq_len=None, dtype=torch.float32, device=None):
+ if max_seq_len is None:
+ max_seq_len = lengths.max()
+ row_vector = torch.arange(0, max_seq_len, 1).to(lengths.device)
+ matrix = torch.unsqueeze(lengths, dim=-1)
+ mask = row_vector < matrix
+
+ return mask.type(dtype).to(device) if device is not None else mask.type(dtype)
def normalize(input: torch.Tensor, p: float = 2.0, dim: int = 1, out: Optional[torch.Tensor] = None) -> torch.Tensor:
if out is None:
--
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