torch.cuda()
时间: 2023-11-13 11:21:12 浏览: 102
`torch.cuda()` is not a valid method or function in PyTorch.
The `torch.cuda` module, however, provides functions and classes for using CUDA with PyTorch. It contains CUDA-specific implementations of many PyTorch functions, and allows for efficient computation on NVIDIA GPUs.
Some common methods and functions from `torch.cuda` include:
- `torch.cuda.is_available()`: returns a boolean indicating whether CUDA is currently available on the system
- `torch.cuda.device(device=None)`: context manager that selects a CUDA device to use for computation
- `torch.cuda.get_device_name(device=None)`: returns the name of the specified CUDA device
- `torch.cuda.FloatTensor()`: creates a tensor on the GPU with data type float32
- `torch.nn.Module.cuda()`: moves all the parameters and buffers of a module to the GPU
Note that in order to use CUDA with PyTorch, you must have a compatible NVIDIA GPU and install the appropriate CUDA toolkit and drivers.
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