module 'torch' has no attribute 'accelerator'

Add Link

Link to the tutorial on the website - https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html#creating-models

Describe the bug

Below piece of code is returning
device = torch.accelerator.current_accelerator().type if torch.accelerator.is_available() else "cpu" print(f"Using {device} device")

When running using google colab throws the below error
`---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
in <cell line: 0>()
----> 1 device = torch.accelerator.current_accelerator().type if torch.accelerator.is_available() else "cpu"
2 print(f"Using {device} device")
3
4 # Define model
5 class NeuralNetwork(nn.Module):

/usr/local/lib/python3.11/dist-packages/torch/init.py in getattr(name)
2560 return importlib.import_module(f".{name}", name)
2561
-> 2562 raise AttributeError(f"module '{name}' has no attribute '{name}'")
2563
2564

AttributeError: module 'torch' has no attribute 'accelerator'`

Correct code:
`if torch.cuda.is_available():
device = torch.device("cuda")
device_name = torch.cuda.get_device_name(0)

elif torch.backends.mps.is_available():
device = torch.device("mps")

else:
device = torch.device("cpu")

print(f"Using {device} device")`

Describe your environment

Platform: Google Colab
Cuda: Yes
Pytorch Version: 2.5.1+cu121

cc @subramen @albanD @jbschlosser

Open the linked quickstart tutorial at the “Creating Models” section and inspect the device-selection example. Reproduce it in Google Colab with PyTorch 2.5.1+cu121, then update the tutorial so the example runs without the reported AttributeError and still prints the selected device.