The error message “runtimeerror: expected one of cpu, cuda, mkldnn, opengl, opencl, ideep, hip, msnpu, xla device type at start of device string: meta” typically occurs when attempting to set the device type to an unsupported value or when there is an issue with the string formatting.
In frameworks like PyTorch, TensorFlow, or similar, one must specify the device type to determine where the computation should take place (e.g., CPU or GPU). The supported device types are generally cpu and cuda for CPU and GPU respectively.
Here is an example of correct device type formatting in PyTorch:
import torch
# Set the device type to CPU
device = torch.device('cpu')
# Set the device type to GPU (if available)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Move a tensor to the selected device
tensor = torch.tensor([1, 2, 3])
tensor = tensor.to(device)
In the example above, we first import the torch library and then set the device type to CPU using the ‘cpu’ string. Alternatively, we can check if a GPU is available and select ‘cuda’ as the device type in such cases. Finally, we move a tensor to the selected device using the to(device) method.
If you encounter the mentioned error, make sure you are using one of the supported device types (‘cpu’ or ‘cuda’) and that you are correctly formatting the device string.