From 5b93a56a7b15ae236317f78c60b67a5e95488b38 Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 16:22:51 +0800
Subject: [PATCH] test
---
funasr/models/lcbnet/model.py | 10 +++++++---
1 files changed, 7 insertions(+), 3 deletions(-)
diff --git a/funasr/models/lcbnet/model.py b/funasr/models/lcbnet/model.py
index f4caee8..422956f 100644
--- a/funasr/models/lcbnet/model.py
+++ b/funasr/models/lcbnet/model.py
@@ -446,9 +446,10 @@
ocr_list_new = [[x + 1 if x != 0 else x for x in sublist] for sublist in ocr_sample_list]
ocr = torch.tensor(ocr_list_new)
ocr_lengths = ocr.new_full([1], dtype=torch.long, fill_value=ocr.size(1))
- pdb.set_trace()
ocr, ocr_lens, _ = self.text_encoder(ocr, ocr_lengths)
- pdb.set_trace()
+ fusion_out, _, _, _ = self.fusion_encoder(encoder_out,None, ocr, None)
+ encoder_out = encoder_out + fusion_out
+
# 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)
@@ -456,7 +457,7 @@
nbest_hyps = nbest_hyps[: self.nbest]
-
+ pdb.set_trace(0)
results = []
b, n, d = encoder_out.size()
for i in range(b):
@@ -478,9 +479,12 @@
# remove blank symbol id, which is assumed to be 0
token_int = list(filter(lambda x: x != self.eos and x != self.sos and x != self.blank_id, token_int))
+ pdb.set_trace()
# Change integer-ids to tokens
token = tokenizer.ids2tokens(token_int)
+ pdb.set_trace()
text = tokenizer.tokens2text(token)
+ pdb.set_trace()
text_postprocessed, _ = postprocess_utils.sentence_postprocess(token)
result_i = {"key": key[i], "token": token, "text": text_postprocessed}
--
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