From 3eee773814c392e497557bbad501e0add4c8eca9 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期日, 09 六月 2024 02:11:42 +0800
Subject: [PATCH] fix bug
---
funasr/datasets/openai_datasets/datasets.py | 15 +++++++++------
1 files changed, 9 insertions(+), 6 deletions(-)
diff --git a/funasr/datasets/openai_datasets/datasets.py b/funasr/datasets/openai_datasets/datasets.py
index c51ace9..9c74ef1 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]
- attention_mask = torch.tensor([len(input_ids)], dtype=torch.int32)
- labels = torch.tensor(labels, dtype=torch.int64)[: self.max_token_length]
+ input_ids = torch.tensor(input_ids, dtype=torch.int64) # [: self.max_token_length]
+ attention_mask = torch.tensor([1] * len(input_ids), dtype=torch.int32)
+ labels = torch.tensor(labels, dtype=torch.int64) # [: self.max_token_length]
fbank = speech[0, :, :]
fbank_lens = speech_lengths
@@ -213,7 +216,7 @@
if b < 2:
beg = 0
logging.info(
- f"Warning, b * t: {b * t} > {self.batch_size}, b: {b}, t: {t}, drop half data {idx}th, beg:{beg}"
+ f"Warning, b * t: {b * t} > {self.batch_size_scale_ratio_max} * {self.batch_size}, b: {b}, t: {t}, drop half data {idx}th, beg:{beg}"
)
samples = samples[beg : beg + b : 2]
continue
--
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