From d29f201e3201bde6a984e436888a2aae877e449f Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 19 三月 2024 12:04:50 +0800
Subject: [PATCH] vad conf
---
funasr/models/seaco_paraformer/model.py | 19 ++++++++++++++-----
1 files changed, 14 insertions(+), 5 deletions(-)
diff --git a/funasr/models/seaco_paraformer/model.py b/funasr/models/seaco_paraformer/model.py
index 5d0f602..27ff5d1 100644
--- a/funasr/models/seaco_paraformer/model.py
+++ b/funasr/models/seaco_paraformer/model.py
@@ -128,7 +128,7 @@
hotword_pad = kwargs.get("hotword_pad")
hotword_lengths = kwargs.get("hotword_lengths")
- dha_pad = kwargs.get("dha_pad")
+ seaco_label_pad = kwargs.get("seaco_label_pad")
batch_size = speech.shape[0]
# for data-parallel
@@ -148,7 +148,7 @@
ys_lengths,
hotword_pad,
hotword_lengths,
- dha_pad,
+ seaco_label_pad,
)
if self.train_decoder:
loss_att, acc_att = self._calc_att_loss(
@@ -185,7 +185,7 @@
ys_lengths: torch.Tensor,
hotword_pad: torch.Tensor,
hotword_lengths: torch.Tensor,
- dha_pad: torch.Tensor,
+ seaco_label_pad: torch.Tensor,
):
# predictor forward
encoder_out_mask = (~make_pad_mask(encoder_out_lens, maxlen=encoder_out.size(1))[:, None, :]).to(
@@ -204,7 +204,7 @@
dec_attended, _ = self.seaco_decoder(contextual_info, _contextual_length, decoder_out, ys_lengths)
merged = self._merge(cif_attended, dec_attended)
dha_output = self.hotword_output_layer(merged[:, :-1]) # remove the last token in loss calculation
- loss_att = self.criterion_seaco(dha_output, dha_pad)
+ loss_att = self.criterion_seaco(dha_output, seaco_label_pad)
return loss_att
def _seaco_decode_with_ASF(self,
@@ -430,7 +430,6 @@
return results, meta_data
-
def generate_hotwords_list(self, hotword_list_or_file, tokenizer=None, frontend=None):
def load_seg_dict(seg_dict_file):
seg_dict = {}
@@ -532,3 +531,13 @@
hotword_list = None
return hotword_list
+ def export(
+ self,
+ **kwargs,
+ ):
+ if 'max_seq_len' not in kwargs:
+ kwargs['max_seq_len'] = 512
+ from .export_meta import export_rebuild_model
+ models = export_rebuild_model(model=self, **kwargs)
+ return models
+
--
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