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

1 vote217 views1 answer
Make averages on python
Python
1 vote131 views1 answer
Plotly font size
Python
0 vote164 views1 answer
Python write to file permission denied
Python
3 votes158 views2 answers
How many columns have null values present in them? in pandas
Python
0 vote193 views1 answer
Python oops
Python
1 vote164 views2 answers
String array to float array python
Python
2 votes208 views1 answer
Postgres django settings
Python Django
0 vote162 views1 answer
Ask for sudo privilege from python in macos
Python
0 vote157 views2 answers
Using list comprehension to filter out age group pandas
Python
35 votes178 views5 answers
How to use replace in python
Python