From 5b9c073f43dbecc3ae9d771af50a8f52f87931e8 Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 15:49:41 +0800
Subject: [PATCH] test
---
funasr/models/lcbnet/model.py | 11 +++++------
1 files changed, 5 insertions(+), 6 deletions(-)
diff --git a/funasr/models/lcbnet/model.py b/funasr/models/lcbnet/model.py
index 45b1ee5..b4a206b 100644
--- a/funasr/models/lcbnet/model.py
+++ b/funasr/models/lcbnet/model.py
@@ -274,15 +274,12 @@
ind: int
"""
with autocast(False):
- pdb.set_trace()
# Data augmentation
if self.specaug is not None and self.training:
speech, speech_lengths = self.specaug(speech, speech_lengths)
- pdb.set_trace()
# Normalization for feature: e.g. Global-CMVN, Utterance-CMVN
if self.normalize is not None:
speech, speech_lengths = self.normalize(speech, speech_lengths)
- pdb.set_trace()
# Forward encoder
# feats: (Batch, Length, Dim)
# -> encoder_out: (Batch, Length2, Dim2)
@@ -299,7 +296,6 @@
if intermediate_outs is not None:
return (encoder_out, intermediate_outs), encoder_out_lens
- pdb.set_trace()
return encoder_out, encoder_out_lens
def _calc_att_loss(
@@ -442,12 +438,15 @@
speech = speech.to(device=kwargs["device"])
speech_lengths = speech_lengths.to(device=kwargs["device"])
- pdb.set_trace()
# Encoder
encoder_out, encoder_out_lens = self.encode(speech, speech_lengths)
if isinstance(encoder_out, tuple):
encoder_out = encoder_out[0]
-
+ pdb.set_trace()
+ ocr = ocr_sample_list[0]
+ ocr_lengths = ocr.new_full([1], dtype=torch.long, fill_value=ocr.size(1))
+ ocr, ocr_lens, _ = self.text_encoder(ocr, ocr_lengths)
+ pdb.set_trace()
# c. Passed the encoder result and the beam search
nbest_hyps = self.beam_search(
x=encoder_out[0], maxlenratio=kwargs.get("maxlenratio", 0.0), minlenratio=kwargs.get("minlenratio", 0.0)
--
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