From 526c810bd7ab9fdab38d5ce279a064b8e5da8bdd Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 07 六月 2024 18:44:14 +0800
Subject: [PATCH] auto frontend
---
funasr/datasets/openai_datasets/datasets.py | 11 +++++++----
1 files changed, 7 insertions(+), 4 deletions(-)
diff --git a/funasr/datasets/openai_datasets/datasets.py b/funasr/datasets/openai_datasets/datasets.py
index c51ace9..0d12a1c 100644
--- a/funasr/datasets/openai_datasets/datasets.py
+++ b/funasr/datasets/openai_datasets/datasets.py
@@ -154,13 +154,16 @@
fbank_mask += fbank_mask_i
fbank_beg.append(fbank_beg_i)
- # if len(input_ids) > self.max_token_length:
- # badcase_flag = True
+ if len(input_ids) > self.max_token_length:
+ logging.info(
+ f"input_ids > max_token_length: {len(input_ids)}>{self.max_token_length}, {item}"
+ )
+ badcase_flag = True
if badcase_flag:
continue
- input_ids = torch.tensor(input_ids, dtype=torch.int64)[: self.max_token_length]
+ input_ids = torch.tensor(input_ids, dtype=torch.int64) # [: self.max_token_length]
attention_mask = torch.tensor([len(input_ids)], dtype=torch.int32)
- labels = torch.tensor(labels, dtype=torch.int64)[: self.max_token_length]
+ labels = torch.tensor(labels, dtype=torch.int64) # [: self.max_token_length]
fbank = speech[0, :, :]
fbank_lens = speech_lengths
--
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