Convert tensor to numpy array

import tensorflow as tf

a = tf.constant([[1, 2], [3, 4]])                 
b = tf.add(a, 1)

a.numpy()
# array([[1, 2],
#        [3, 4]], dtype=int32)

b.numpy()
# array([[2, 3],
#        [4, 5]], dtype=int32)

tf.multiply(a, b).numpy()
# array([[ 2,  6],
#        [12, 20]], dtype=int32)

Source: stackoverflow.com

How do i turn a tensor into a numpy array

import torch

# Create PyTorch tensor
A_torch = torch.tensor([1, 2])

# Convert tensor to NumPy array
A_np = A_torch.numpy()

Convert numpy array to tensor

import numpy as np
import torch

numpy_array = np.array([1,3,5])
tensor_array = torch.from_numpy(numpy_array)

-1

Similar codes

2 votes162 views1 answer
Difference between set and list in python
Python
0 vote186 views1 answer
Python get file name without dir
Python
1 vote243 views1 answer
Python replace all new lines with space
Python
1 vote206 views1 answer
Django foreign key field on delete do nothing
Python Django
-3 votes220 views2 answers
Plot neural network keras
Python
0 vote190 views2 answers
Quotation marks n string
Python
7 votes234 views5 answers
Django messages
Python Django
0 vote185 views1 answer
@property python
Python
5 votes173 views1 answer
Pythagoras calculator
Python
0 vote163 views1 answer
Python find cells with na
Python