如果可能的话,请考虑升级Paddle到最新的稳定版。此外,如果你使用的是Windows机器,建议将num_workers设置为0,因为Windows机器的多进程机制与Unix机器不同,在Windows机器上使用大于0的num_workers可能并不能起到预期的加速效果。 paddle-bot closed this ascompletedon Dec 24, 2024 Sign up for freeto join this conversation on GitHub.Already have an ...
dataloader设置: train_loader = DataLoader(dataset=train_dataset, batch_size=512, shuffle=True, num_workers=0 ) test_loader = DataLoader(dataset=test_dataset, batch_size=512, shuffle=False, num_workers=4 ) 报错: RuntimeError: An attempt has been made to start a new process before the ...
num_workers的经验设置值是⾃⼰电脑/服务器的CPU核⼼数，如果CPU很强、RAM也很充⾜，就可以设置得更⼤些。3、如果num_worker设为0，意味着每⼀轮迭代时，dataloader不再有⾃主加载数据到RAM这⼀步骤（因为没有worker了），⽽是在RAM中找batch，找不到时再加载相应的batch。缺点当然是速度更慢。...
In windows, DataLoader with num_workers > 0 is extremely slow (50 times slower) #159719 Sign in to view logs Summary Jobs assign Run details Usage Workflow file Triggered via issue March 12, 2025 15:16 cnguyen10 commented on #12831 5ada4e6 Status Success Total duration 10s Artif...
Pytorch dataloader 设置 num_workers > 0 时报错 Runtime Error https://www.codeleading.com/article/7316314042/ https://www.jianshu.com/p/4a1a92f0efd9 if __name__ == '__main__':应该加在最前端, 不然均会有问题 (在文件最开端写一句print('Hello World!'), 会多次输出)...
Paddle DataLoader raise an error when set num_workers > 0Hi! We've received your issue and ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Confusing error message for DataLoader with num_workers=0 and non-zero timeout · pytorch/pytorch@963e793
i am facing exactly this same issue : #15808 in windows 10, i used, anaconda virtual environment where i have, python 3.8.5 pytorch 1.7.0 cuda 11.0 cudnn 8004 gpu rtx 3060ti Is CUDA available: Yes related post : https://stackoverflow.com...
[GCC 10.3.0] (64-bit runtime) Python platform: Linux-5.15.55-1-MANJARO-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: 11.7.64 GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2080 SUPER Nvidia driver version: 515.57 cuDNN version: Probably one of the ...
When I use num_workers = 0, everything works perfectly (but is slow). When I use num_workers > 0, my threads freeze while iterating over the DataLoader (at random positions). As soon as 3 out of my 4 threads have frozen, the last one continues running without any problems. I have...