Tensorflow to numpy

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()

Turn numpy function into tensorflow

tf.numpy_function(    func, inp, Tout, name=None)

Source: tensorflow.org

Similar codes

0 vote160 views1 answer
Pyttsx python not working
Python
0 vote152 views2 answers
Access column pandas
Python
4 votes158 views3 answers
How to write to an output file in pytion
Python
0 vote180 views1 answer
Spacy get number of tokens
Python
0 vote147 views1 answer
Django override form fields in admin
Python
0 vote161 views1 answer
Else if in django template
Python
0 vote146 views1 answer
Add list of dictionaries to pandas dataframe
Python
3 votes164 views1 answer
How to insert item last in list python
Python
0 vote243 views1 answer
Ternary operator using dictionary in Python
Python
5 votes185 views1 answer
How to override save method in django
Python Django