Migrate to f-strings (pytorch#1803)

For consistency

Co-authored-by: Holly Sweeney <[email protected]>

Author: wesleyacheng

beginner_source/basics/tensorqs_tutorial.py

@@ -112,7 +112,7 @@
 
 # We move our tensor to the GPU if available
 if torch.cuda.is_available():
-    tensor = tensor.to('cuda')
+    tensor = tensor.to("cuda")
 
 
 ######################################################################
@@ -124,9 +124,9 @@
 # **Standard numpy-like indexing and slicing:**
 
 tensor = torch.ones(4, 4)
-print('First row: ', tensor[0])
-print('First column: ', tensor[:, 0])
-print('Last column:', tensor[..., -1])
+print(f"First row: {tensor[0]}")
+print(f"First column: {tensor[:, 0]}")
+print(f"Last column: {tensor[..., -1]}")
 tensor[:,1] = 0
 print(tensor)
 
@@ -172,7 +172,7 @@
 # Operations that store the result into the operand are called in-place. They are denoted by a ``_`` suffix.
 # For example: ``x.copy_(y)``, ``x.t_()``, will change ``x``.
 
-print(tensor, "\n")
+print(f"{tensor} \n")
 tensor.add_(5)
 print(tensor)