Comments (5)
TianXuXiang
commented on August 31, 2024
您好，请问单GPU情况下，您给出的train.py启动方式中，参数值需要怎么改？
你好，这个解决了吗，我也想知道，可以交流一下吗
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karchen-geng
commented on August 31, 2024
CUDA_VISIBLE_DEVICES=0 OMP_NUM_THREADS=4 python -m torch.distributed.launch --master_port 1234 --nproc_per_node=1 train.py --id stage02-QNMN --stage 2 --load_network saves/QNMN_160000.pth
这是我的启动命令
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TianXuXiang
commented on August 31, 2024
CUDA_VISIBLE_DEVICES=0 OMP_NUM_THREADS=4 python -m torch.distributed.launch --master_port 1234 --nproc_per_node=1 train.py --id stage02-QNMN --stage 2 --load_network saves/QNMN_160000.pth
这是我的启动命令
谢谢，现在这个torch.distributed.launch还能用吗，这显示Warning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torchrun.
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karchen-geng
commented on August 31, 2024
CUDA_VISIBLE_DEVICES=0 OMP_NUM_THREADS=4 python -m torch.distributed.launch --master_port 1234 --nproc_per_node=1 train.py --id stage02-QNMN --stage 2 --load_network saves/QNMN_160000.pth
这是我的启动命令
谢谢，现在这个torch.distributed.launch还能用吗，这显示Warning: The module torch.distributed.launch is deprecated and will be removed in future. Use torchrun.
这个我也不太清楚，由于我是单卡，没有处理这个warning。
from qdmn.
TianXuXiang
commented on August 31, 2024
CUDA_VISIBLE_DEVICES=0 OMP_NUM_THREADS=4 python -m torch.distributed.launch --master_port 1234 --nproc_per_node=1 train.py --id stage02-QNMN --stage 2 --load_network saves/QNMN_160000.pth
这是我的启动命令
谢谢，现在这个torch.distributed.launch还能用吗，这显示Warning: The module torch.distributed.launch is deprecated and will be removed in future. Use torchrun.
这个我也不太清楚，由于我是单卡，没有处理这个warning。
好滴，谢谢你
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Related Issues (19)
- Is the input dimension of Score 256 when QAM is used in STCN? HOT 3
- I use QAM for training, the number of iterations is 75K, but the loss only drops to about 0.5, is this normal?And how much does the final loss value of the original code drop? HOT 12
- When the QAM is used in STCN,is the iterations the same as STCN? HOT 1
- 您好，请问论文中为什么不使用L2 distance而是dot product呢，是L2 distance效果比dot product差吗 HOT 2
- 您好，注意到您的代码变了，请问是之前的代码有问题吗？ HOT 2
- 请问预训练阶段是不需要调整学习率的吗？代码中预训练时的steps比它的迭代次数还要大 HOT 6
- 您好,当我将QAM加入到STCN当中时,且输入到Score模块的特征是fuse后的,但是训练得到的score值到后面都是0了(Score模块里面全连接层的激活函数一个是relu,一个是sigmoid)我是1GPU训练,batch size为16,学习率为1e-5 HOT 7
- checkpoint file HOT 1
- 关于预训练的问题 HOT 3
- Questions about pre-training HOT 19
- Do you train the whole network when you apply QAM in STCN? HOT 1
- May ask the result when you use the global average pooling layers in the code of QAM module? HOT 1
- youtube2018 HOT 2
- Adding QAM only in STM's inference stage HOT 1
- 为什么eval代码要用到label?
- The code has been reproduced, but the results are inconsistent with the provided model.
- About Score class
- About Score class
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