Favour t.to() over t.type() for dtype conversions

Author: honno

torch_np/_ndarray.py

@@ -415,7 +415,7 @@ def clip(self, min, max, out=None):
     def _upcast_int_indices(index):
         if isinstance(index, torch.Tensor):
             if index.dtype in [torch.int8, torch.int16, torch.int32]:
-                return index.type(torch.int64)
+                return index.to(torch.int64)
         elif isinstance(index, tuple):
             return tuple(ndarray._upcast_int_indices(i) for i in index)
         return index
@@ -436,7 +436,7 @@ def __setitem__(self, index, value):
             torch.int64,
             torch.uint8,
         ]:
-            value = value.type(self.dtype.torch_dtype)
+            value = value.to(self.dtype.torch_dtype)
         return self._tensor.__setitem__(index, value)