Updated linalg functions in tensors_deeper_tutorial.py (#2959)

Co-authored-by: Svetlana Karslioglu <[email protected]>

beginner_source/introyt/tensors_deeper_tutorial.py

@@ -448,17 +448,19 @@
 m2 = torch.tensor([[3., 0.], [0., 3.]]) # three times identity matrix
 
 print('\nVectors & Matrices:')
-print(torch.cross(v2, v1)) # negative of z unit vector (v1 x v2 == -v2 x v1)
+print(torch.linalg.cross(v2, v1)) # negative of z unit vector (v1 x v2 == -v2 x v1)
 print(m1)
-m3 = torch.matmul(m1, m2)
+m3 = torch.linalg.matmul(m1, m2)
 print(m3)                  # 3 times m1
-print(torch.svd(m3))       # singular value decomposition
+print(torch.linalg.svd(m3))       # singular value decomposition
 
 
 ##################################################################################
 # This is a small sample of operations. For more details and the full inventory of
 # math functions, have a look at the
 # `documentation <https://pytorch.org/docs/stable/torch.html#math-operations>`__.
+# For more details and the full inventory of linear algebra operations, have a
+# look at this `documentation <https://pytorch.org/docs/stable/linalg.html>`__.
 # 
 # Altering Tensors in Place
 # ~~~~~~~~~~~~~~~~~~~~~~~~~