From 1163110135c625a8a3ebd94e050d9adb5b55bb84 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期日, 09 六月 2024 03:29:41 +0800
Subject: [PATCH] fix bug
---
funasr/datasets/openai_datasets/datasets.py | 8 ++------
1 files changed, 2 insertions(+), 6 deletions(-)
diff --git a/funasr/datasets/openai_datasets/datasets.py b/funasr/datasets/openai_datasets/datasets.py
index e13c156..9b36078 100644
--- a/funasr/datasets/openai_datasets/datasets.py
+++ b/funasr/datasets/openai_datasets/datasets.py
@@ -51,7 +51,7 @@
self.batch_size = kwargs.get("batch_size")
self.batch_type = kwargs.get("batch_type")
self.prompt_ids_len = 0
- self.retry = kwargs.get("retry", 10)
+ self.retry = kwargs.get("retry", 100)
self.permute = False
from funasr.frontends.whisper_frontend import WhisperFrontend
@@ -212,13 +212,9 @@
if self.batch_type != "example":
b, t = outputs["input_ids"].shape
if b > 1 and b * t > self.batch_size * self.batch_size_scale_ratio_max:
- # beg = torch.randint(0, 2, ()).item()
- # if b < 2:
- # beg = 0
logging.info(
- f"Warning, b*t: {b}*{t}={b * t} > batch_size*relax: {self.batch_size_scale_ratio_max}*{self.batch_size}={self.batch_size_scale_ratio_max*self.batch_size}, drop half data {idx}th, beg:{beg}"
+ f"Warning, b*t: {b}*{t}={b * t} > batch_size*relax: {self.batch_size_scale_ratio_max}*{self.batch_size}={self.batch_size_scale_ratio_max*self.batch_size}, drop last data"
)
- # samples = samples[beg : beg + b : 2]
samples = samples[:-1]
continue
--
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