From 82530ddf974a706df5a6a1e258d80c8dbc3f1d72 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 10 六月 2024 09:19:16 +0800
Subject: [PATCH] fix bug
---
funasr/datasets/openai_datasets/datasets.py | 12 +++++-------
1 files changed, 5 insertions(+), 7 deletions(-)
diff --git a/funasr/datasets/openai_datasets/datasets.py b/funasr/datasets/openai_datasets/datasets.py
index 9c74ef1..8d243ac 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
@@ -63,6 +63,7 @@
# self.kwargs = kwargs
self.max_token_length = kwargs.get("max_token_length", 1024)
self.batch_size_scale_ratio_max = kwargs.get("batch_size_scale_ratio_max", 1.5)
+ self.batch_size_token_max = kwargs.get("batch_size_token_max", 2500)
def get_source_len(self, index):
item = self.index_ds[index]
@@ -211,14 +212,11 @@
if self.batch_type != "example":
b, t = outputs["input_ids"].shape
- if b * t > self.batch_size * self.batch_size_scale_ratio_max:
- beg = torch.randint(0, 2, ()).item()
- if b < 2:
- beg = 0
+ if b > 1 and b * t > self.batch_size_token_max:
logging.info(
- 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}"
+ f"Warning, {idx}th, b*t: {b}*{t}={b * t} > batch_size_sample_max: {self.batch_size_token_max}, drop last data"
)
- samples = samples[beg : beg + b : 2]
+ samples = samples[:-1]
continue
break
--
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