Closed longmalongma closed 4 years ago
It seems you need a GPU and correctly configure it with CUDA, CUDNN.
Think your for your reply,I successfully make it ,I want to know your version about cuda,cudnn,pytorch,do you have code about this parper on the tensorflow?
The version of cuda and pytorch are listed in readme of our project. And the version of cudnn is 7.1.2. I am sorry to not have tensorflow code.
I want to know how I test my deep learning environment pytorch-gpu is useful?because I doubt my environment meet problem
------------------ Original ------------------ From: Haoxuanyou notifications@github.com Date: Tue,Jul 30,2019 4:14 PM To: iMoonLab/PVRNet PVRNet@noreply.github.com Cc: longma 1442342449@qq.com, Author author@noreply.github.com Subject: Re: [iMoonLab/PVRNet] torch.cuda.is_available() is False. (#1)
The version of cuda and pytorch are listed in readme of our project. And the version of cudnn is 7.1.2. I am sorry to not have tensorflow code.
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Hello,Think your for your work,when I tried to run your code ,I met this problem.can you tell me how to solve this problem? raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location='cpu' to map your storages to the CPU.