Comments (4)
Hello, there was an error when I was running the loss function of DANN. The dimensions did not match. Did you use this code when you were running DANN? I can't find DANN's code online right now.
RuntimeError: size mismatch, m1: [128 x 512], m2: [5120 x 500] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:290
I met the same question, can you sovle it?
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------------------ 原始邮件 ------------------ 发件人: "妍妍妍妍妍!"<[email protected]>; 发送时间: 2019年11月25日(星期一) 晚上8:13 收件人: "thuml/CDAN"<[email protected]>;"thuml/CDAN"<[email protected]>; 抄送: "Author"<[email protected]>; 主题: 回复: [thuml/CDAN] DANN (#18) yes ,you can see like this ad_net = network.AdversarialNetwork(base_network.output(),1024)
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------------------ 原始邮件 ------------------ 发件人: "xiangruyimoxiaoyangyang"<[email protected]>; 发送时间: 2019年11月25日(星期一) 晚上7:42 收件人: "thuml/CDAN"<[email protected]>; 抄送: "妍妍妍妍妍!"<[email protected]>;"Author"<[email protected]>; 主题: Re: [thuml/CDAN] DANN (#18) Hello, there was an error when I was running the loss function of DANN. The dimensions did not match. Did you use this code when you were running DANN? I can't find DANN's code online right now. RuntimeError: size mismatch, m1: [128 x 512], m2: [5120 x 500] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:290 I met the same question, can you sovle it? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
thanks! I solved the problem under your help! Best wishes!
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Related Issues (20)
- path HOT 2
- AlexNet pre-trained model HOT 1
- SVHN -> MNIST Accuracy HOT 3
- Confusion about the data HOT 1
- do we need whole iterations 100000? HOT 1
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- IWCV
- Cannot train pytorch version on multi-gpu HOT 1
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- RuntimeError: size mismatch, m1: [64 x 640], m2: [1792 x 1792] at /opt/conda/conda-bld/pytorch_1550813258230/work/aten/src/THC/generic/THCTensorMathBlas.cu:266
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- How can I get usps dataset
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