BUG: torch.arange: workaround for missing dtype implementations

Author: lucascolley

array_api_compat/torch/_aliases.py

@@ -616,8 +616,14 @@ def arange(start: float,
                 dtype = torch.int64
             else:
                 dtype = torch.float32
-        return torch.empty(0, dtype=dtype, device=device, **kwargs)
-    return torch.arange(start, stop, step, dtype=dtype, device=device, **kwargs)
+        try:
+            return torch.empty(0, dtype=dtype, device=device, **kwargs)
+        except NotImplementedError:
+            return torch.empty(0, device=device, **kwargs).to(dtype)
+    try:
+        return torch.arange(start, stop, step, dtype=dtype, device=device, **kwargs)
+    except NotImplementedError:
+        return torch.arange(start, stop, step, device=device, **kwargs).to(dtype)
 
 # torch.eye does not accept None as a default for the second argument and
 # doesn't support off-diagonals (https://github.com/pytorch/pytorch/issues/70910)