The RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! When predicting with my model error occurs when the input tensors and the model are on different devices (e.g., one on CPU and the other on GPU).
To fix the RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! When predicting with my model error, make sure both the input tensors and the model are on the same device, either CPU or GPU.
Load your model and move it to the desired device (GPU in this case)
import torch
from transformers import AutoModel
model = AutoModel.from_pretrained("model_name")
device = "cuda" if torch.cuda.is_available() else "cpu"
model.to(device)Move your input tokens to the same device
tokens = tokenizer("Your input text", return_tensors="pt")
tokens = tokens.to(device)Perform the prediction with both the model and input tokens on the same device
with torch.no_grad():
output = model(**tokens)
By ensuring that both the model and input tokens are on the same device, you should no longer encounter the RuntimeError.
That’s it.
