Support Intel Arc

@lantiga is already working on this.

Since Apr 26, 2023.

Hi,
Is it possible to support Intel Arc as a device, as it is done with apple ARM(MPS), nvidia GPU(GPU) or tpus, so I don't have to change the code using the intel extension?
```py
import torch
import torch.nn as nn
# Import intel_extension_for_pytorch
import intel_extension_for_pytorch as ipex

# oneDNN graph fusion is enabled by default, uncomment the line below to disable it explicitly
# ipex.enable_onednn_fusion(False)

class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
self.linear = nn.Linear(4, 5)

def forward(self, input):
return self.linear(input)

input = torch.randn(2, 4)
model = Model()
model.eval()
# Invoke optimize function against the model object
model = ipex.optimize(model, dtype=torch.float32)
model = torch.jit.trace(model, torch.randn(2, 4))
model = torch.jit.freeze(model)
res = model(input)
```
[Intel Extension](https://pytorch.org/tutorials/recipes/recipes/intel_extension_for_pytorch.html)

cc @borda @akihironitta @justusschock