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December 12, 2019 09:08
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Using GPU with PyTorch
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1- Install PyTorch from the below link. Make sure you select the right CUDA version installed on your device: | |
https://pytorch.org/ | |
2- After a successful installation. Feel free to test the following commands in your Command Line: | |
C:\Users\AhmedBr>python | |
Python 3.6.6 (v3.6.6:4cf1f54eb7, Jun 27 2018, 03:37:03) [MSC v.1900 64 bit (AMD64)] on win32 | |
Type "help", "copyright", "credits" or "license" for more information. | |
>>> import torch | |
>>> torch.cuda.current_device() | |
0 | |
>>> torch.cuda.device(0) | |
<torch.cuda.device object at 0x0000028282DBAEF0> | |
>>> torch.cuda.device_count() | |
1 | |
>>> torch.cuda.get_device_name(0) | |
'GeForce 930MX' | |
>>> torch.cuda.is_available() | |
True |
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