How to Convert Pytorch tensor to Numpy array?

# importing torch module
import torch
# import numpy module
import numpy
# create one dimensional tensor with
# float type elements
b = torch.tensor([10.12, 20.56, 30.00, 40.3, 50.4])
print(b)
# convert this into numpy array using
# numpy() method
b = b.numpy()
# display
b

# importing torch module
import torch
# import numpy module
import numpy
# create two dimensional tensor with
# integer type elements
b = torch.tensor([[1, 2, 3, 4, 5], [3, 4, 5, 6, 7], 
                  [4, 5, 6, 7, 8]])
print(b)
# convert this into numpy array using
# numpy() method
b = b.numpy()
# display
b

# importing torch module
import torch
# import numpy module
import numpy
# create two dimensional tensor with 
# integer type elements
b = torch.tensor([[1, 2, 3, 4, 5], [3, 4, 5, 6, 7], 
                  [4, 5, 6, 7, 8]])
print(b)
# convert this into numpy array using 
# numpy.array() method
b = numpy.array(b)
# display
b