Replace legacy tensor.Tensor with torch.tensor/torch.empty (#12027)

* Replace legacy torch.Tensor constructor with torch.{tensor, empty}

* Remove torch.Tensor in examples

examples/research_projects/movement-pruning/emmental/modules/masked_nn.py

@@ -72,7 +72,7 @@ class MaskedLinear(nn.Linear):
         if self.pruning_method in ["topK", "threshold", "sigmoied_threshold", "l0"]:
             self.mask_scale = mask_scale
             self.mask_init = mask_init
-            self.mask_scores = nn.Parameter(torch.Tensor(self.weight.size()))
+            self.mask_scores = nn.Parameter(torch.empty(self.weight.size()))
             self.init_mask()
 
     def init_mask(self):