From f85ef1aa08df90b9ab4b22b444398f0c16e36d3c Mon Sep 17 00:00:00 2001
From: huangxu1991 <40886464+huangxu1991@users.noreply.github.com>
Date: Wed, 13 Mar 2024 17:48:27 +0800
Subject: [PATCH] Add use_distributed_sampler=False in Trainer
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if you have defined your own sampler, you should have to set use_distributed_sampler to False!
当使用自定义的 sampler 时，必须设置 use_distributed_sampler 为 False
---
 GPT_SoVITS/s1_train.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/GPT_SoVITS/s1_train.py b/GPT_SoVITS/s1_train.py
index fb273542..c8ec5f3b 100644
--- a/GPT_SoVITS/s1_train.py
+++ b/GPT_SoVITS/s1_train.py
@@ -132,6 +132,7 @@ def main(args):
         logger=logger,
         num_sanity_val_steps=0,
         callbacks=[ckpt_callback],
+        use_distributed_sampler=False,  # 非常简单的修改，但解决了采用自定义的 bucket_sampler 下训练步数不一致的问题！
     )
 
     model: Text2SemanticLightningModule = Text2SemanticLightningModule(