Shulou(Shulou.com)06/02 Report--

Today, I will talk to you about what the torch.cuda command query refers to. Many people may not know much about it. In order to let everyone know more, Xiaobian summarizes the following contents for everyone. I hope you can gain something according to this article.

1. Server GPU Status Query

1） lspci |grep -i nvidia can query all nvidia graphics cards

2) lspci -v -s [Graphics card number] You can view the specific attributes of the graphics card

3) nvidia-smi can view the video card memory utilization

2. torch.cuda Main function

1)Check if GPUs are available: torch.cuda.is_available()

Number of GPUs Available:

gpus = torch.cuda.device_count()logger.info(f'use {gpus} gpus')logger.info(f"args: {args}")

2)View GPU number currently in use: torch.cuda.current_device()

3)View the capacity and name of a given GPU:

torch.cuda.get_device_capability(device), torch.cuda.get_device_name(device)

4)Empty GPU resources occupied by programs: torch.cuda.empty_cache()

5)Set random seed for GPU: torch.cuda.manual_seed(seed), torch.cuda.manual_seed_all(seed)

After reading the above, do you have any further idea what the torch.cuda command query refers to? If you still want to know more knowledge or related content, please pay attention to the industry information channel, thank you for your support.

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