Misc updates in tensor_tutorial (#1696)

* making spaces after comma more consistent in tensor_tutorial

* after moving tensor to GPU, tutorial code is now showing that tensor is on the GPU in tensor_tutorial

Co-authored-by: Holly Sweeney <77758406+holly1238@users.noreply.github.com>

Author: Viacheslav Kovalevskyi

beginner_source/blitz/tensor_tutorial.py

@@ -27,7 +27,7 @@
 #
 # Tensors can be created directly from data. The data type is automatically inferred.
 
-data = [[1, 2],[3, 4]]
+data = [[1, 2], [3, 4]]
 x_data = torch.tensor(data)
 
 ######################################################################
@@ -55,7 +55,7 @@
 #
 # ``shape`` is a tuple of tensor dimensions. In the functions below, it determines the dimensionality of the output tensor.
 
-shape = (2,3,)
+shape = (2, 3,)
 rand_tensor = torch.rand(shape)
 ones_tensor = torch.ones(shape)
 zeros_tensor = torch.zeros(shape)
@@ -78,7 +78,7 @@
 #
 # Tensor attributes describe their shape, datatype, and the device on which they are stored.
 
-tensor = torch.rand(3,4)
+tensor = torch.rand(3, 4)
 
 print(f"Shape of tensor: {tensor.shape}")
 print(f"Datatype of tensor: {tensor.dtype}")
@@ -107,6 +107,7 @@
 # We move our tensor to the GPU if available
 if torch.cuda.is_available():
   tensor = tensor.to('cuda')
+  print(f"Device tensor is stored on: {tensor.device}")
 
 
 ######################################################################