Comments (10)
Which pytorch version do you use?
from crossdomainfewshot.
Thank you for your reply. My torch version is 1.2.0. But I can run this command:python3 train_baseline.py --method relationnet_softmax --dataset multi --testset cars --name multi_cars_ori_relationnet_softmax --warmup baseline --train_aug.
The result seems to be ok. The result is shown below:
from crossdomainfewshot.
Which pytorch version do you use?
So, from the result I got above,should I change the torch version to above 1.3.0?If I have encountered the initial problem after changing the selected model, should I consider upgrading the torch version?
from crossdomainfewshot.
Which pytorch version do you use?
So, from the result I got above,should I change the torch version to above 1.3.0?If I have encountered the initial problem after changing the selected model, should I consider upgrading the torch version?
are you resolve this problem? i am facing this problem too
from crossdomainfewshot.
Which pytorch version do you use?
So, from the result I got above,should I change the torch version to above 1.3.0?If I have encountered the initial problem after changing the selected model, should I consider upgrading the torch version?
are you resolve this problem? i am facing this problem too
Hi, did you solve the problem? I train the model on my own dataset, but my loss is nan too.
from crossdomainfewshot.
Which pytorch version do you use?
So, from the result I got above,should I change the torch version to above 1.3.0?If I have encountered the initial problem after changing the selected model, should I consider upgrading the torch version?
are you resolve this problem? i am facing this problem too
Hi, did you solve the problem? I train the model on my own dataset, but my loss is nan too.
我解决了这个问题,我这边出现的这个问题是因为我刻意使用cuda10.2才出现的,然而我用的30系显卡不支持cuda10,所以会nan,具体解决好像是通过修改导入模型参数的次序完成的,他的代码写的不太严谨
from crossdomainfewshot.
Which pytorch version do you use?
So, from the result I got above,should I change the torch version to above 1.3.0?If I have encountered the initial problem after changing the selected model, should I consider upgrading the torch version?
are you resolve this problem? i am facing this problem too
Hi, did you solve the problem? I train the model on my own dataset, but my loss is nan too.我解决了这个问题,我这边出现的这个问题是因为我刻意使用cuda10.2才出现的,然而我用的30系显卡不支持cuda10,所以会nan,具体解决好像是通过修改导入模型参数的次序完成的,他的代码写的不太严谨
我也是30系显卡用cuda10.2,前几个epoch有loss,后面就都是nan了,protonet和relationnet都是这个情况,请问是否记得修改的哪里的模型参数,谢谢!
from crossdomainfewshot.
Which pytorch version do you use?
So, from the result I got above,should I change the torch version to above 1.3.0?If I have encountered the initial problem after changing the selected model, should I consider upgrading the torch version?
are you resolve this problem? i am facing this problem too
Hi, did you solve the problem? I train the model on my own dataset, but my loss is nan too.我解决了这个问题,我这边出现的这个问题是因为我刻意使用cuda10.2才出现的,然而我用的30系显卡不支持cuda10,所以会nan,具体解决好像是通过修改导入模型参数的次序完成的,他的代码写的不太严谨
我也是30系显卡用cuda10.2,前几个epoch有loss,后面就都是nan了,protonet和relationnet都是这个情况,请问是否记得修改的哪里的模型参数,谢谢!
torch换成cuda11的,然后run一下,根据报错调吧,具体是哪儿我忘了,反正最后会卡在一个导入模型的地方,在那里调一下位置就好
from crossdomainfewshot.
Which pytorch version do you use?
So, from the result I got above,should I change the torch version to above 1.3.0?If I have encountered the initial problem after changing the selected model, should I consider upgrading the torch version?
are you resolve this problem? i am facing this problem too
Hi, did you solve the problem? I train the model on my own dataset, but my loss is nan too.我解决了这个问题,我这边出现的这个问题是因为我刻意使用cuda10.2才出现的,然而我用的30系显卡不支持cuda10,所以会nan,具体解决好像是通过修改导入模型参数的次序完成的,他的代码写的不太严谨
我也是30系显卡用cuda10.2,前几个epoch有loss,后面就都是nan了,protonet和relationnet都是这个情况,请问是否记得修改的哪里的模型参数,谢谢!
torch换成cuda11的,然后run一下,根据报错调吧,具体是哪儿我忘了,反正最后会卡在一个导入模型的地方,在那里调一下位置就好
谢谢!
from crossdomainfewshot.
Thank you for your reply. My torch version is 1.2.0. But I can run this command:python3 train_baseline.py --method relationnet_softmax --dataset multi --testset cars --name multi_cars_ori_relationnet_softmax --warmup baseline --train_aug.
hello, the dataset links in the code are invalid, could you please provide me with your datasets? Thanks!
from crossdomainfewshot.
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