tensor_ops.py

A = torch.randn(3,4)
W = torch.randn(4,2)
# Multiply Matrix A and W
t = A.mm(W)
print(f"Created Tensor t by Multiplying A and W:\n{t}")
# Transpose Tensor t
t = t.t()
print(f"Transpose of Tensor t:\n{t}")
# Square each element of t
t = t**2
print(f"Square each element of Tensor t:\n{t}")
# return the size of a tensor
print(f"Size of Tensor t using .size():\n{t.size()}")