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Bartzi / see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
GNU General Public License v3.0
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Installation #66

Open SiDinhThoi opened 5 years ago

SiDinhThoi commented 5 years ago

Hi everyone and @Bartzi , I install the project directly on my PC. Could I install NCCL (>2.0) on window 10? If it is, where I can find step by step NCCL installation on window 10?

Bartzi commented 5 years ago

Good, question... I don't know. All I know is that doing Deep Learning on Windows is most of the times a very painful thing to do... but you can use the code also without NCCL. You just need to exchange the MultiProcessParallelUpdater with a different Updater like the StandardUpdater but you won't be able to harness the full Multi-GPU power then...

SiDinhThoi commented 5 years ago

@Bartzi Thank you for your response!

SiDinhThoi commented 5 years ago

Hi @Bartzi , could you tell me how to check CUDA and CUDNN version for windows 10? I search Google and find no tutorials for checking CUDA version for windows 10. For CUDNN version, I found following 2 ways:

  1. find_cudnn_version_way_1 And this is output from my computer: find_cudnn_version_way_1_result

  2. find_cudnn_version_way_2 But my computer does not have any folder "NVIDIA GPU Computing Toolkit" in "Program Files"

Bartzi commented 5 years ago

Did you install CUDA and cuDNN?

SiDinhThoi commented 5 years ago

Hi @Bartzi , I have experiences with Pytorch Framework and the boolean value of torch.cuda.is_available() is True so I think my computer already installed CUDA and cuDNN

Bartzi commented 5 years ago

Well, then it should be somewhere... maybe you need to dig deeper :wink:, because I can not tell you anything else than what you already know. You should be able to find the location where you installed CUDA by just browsing your hard drive

SiDinhThoi commented 5 years ago

I think my computer automatically installed CUDA and CUDNN when I put 1070 ti to it (the reason why I don't know where CUDA located) so do you have any idea where CUDA and CUDNN should be located ?

Bartzi commented 5 years ago

somewhere in your program_files directory??