From c9f1b4e8a2e903f74de20d019e70307c26e93c3e Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 23 十一月 2023 20:39:52 +0800
Subject: [PATCH] update
---
funasr/models/e2e_asr_contextual_paraformer.py | 5 ++---
1 files changed, 2 insertions(+), 3 deletions(-)
diff --git a/funasr/models/e2e_asr_contextual_paraformer.py b/funasr/models/e2e_asr_contextual_paraformer.py
index b8ae951..171a6c6 100644
--- a/funasr/models/e2e_asr_contextual_paraformer.py
+++ b/funasr/models/e2e_asr_contextual_paraformer.py
@@ -9,7 +9,6 @@
import numpy as np
import torch
-from typeguard import check_argument_types
from funasr.layers.abs_normalize import AbsNormalize
from funasr.models.ctc import CTC
@@ -73,7 +72,6 @@
preencoder: Optional[AbsPreEncoder] = None,
postencoder: Optional[AbsPostEncoder] = None,
):
- assert check_argument_types()
assert 0.0 <= ctc_weight <= 1.0, ctc_weight
assert 0.0 <= interctc_weight < 1.0, interctc_weight
@@ -136,7 +134,7 @@
text_lengths: torch.Tensor,
hotword_pad: torch.Tensor,
hotword_lengths: torch.Tensor,
- ideal_attn: torch.Tensor,
+ dha_pad: torch.Tensor,
) -> Tuple[torch.Tensor, Dict[str, torch.Tensor], torch.Tensor]:
"""Frontend + Encoder + Decoder + Calc loss
@@ -352,6 +350,7 @@
else:
hw_embed = self.bias_embed(hw_list_pad)
hw_embed, (h_n, _) = self.bias_encoder(hw_embed)
+ hw_embed = h_n.repeat(encoder_out.shape[0], 1, 1)
else:
hw_lengths = [len(i) for i in hw_list]
hw_list_pad = pad_list([torch.Tensor(i).long() for i in hw_list], 0).to(encoder_out.device)
--
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