Move model to device and don't use deprecated use_inf_as_na (#104)

This PR includes fixes for:
- running `examples/tutorial.py` on a cuda device
- suppressing these countless warnings introduced by
pandas-dev/pandas#51684:
  ```

/home/akihiro/work/github.com/pyg-team/pytorch-frame/torch_frame/data/stats.py:60:
FutureWarning: use_inf_as_na option is deprecated and will be removed in
a future version. Convert inf values to NaN before operating instead.
  ```

Author: akihironitta

examples/tutorial.py

@@ -217,7 +217,7 @@ def forward(self, tf: TensorFrame) -> Tensor:
     num_layers=args.num_layers,
     col_stats=dataset.col_stats,
     col_names_dict=train_tensor_frame.col_names_dict,
-)
+).to(device)
 
 optimizer = torch.optim.Adam(model.parameters(), lr=args.lr)
 

torch_frame/data/stats.py

@@ -57,10 +57,9 @@ def compute_col_stats(
 ) -> Dict[StatType, Any]:
 
     if stype == torch_frame.numerical:
-        with pd.option_context('mode.use_inf_as_na', True):
-            ser = ser.dropna()
-    else:
-        ser = ser.dropna()
+        ser = ser.mask(ser.isin([np.inf, -np.inf]), np.nan)
+
+    ser = ser.dropna()
 
     return {
         stat_type: stat_type.compute(ser)