Convert numpy array to tensor

Convert numpy to torch

torch.from_numpy(your_array)

Tf tensor from numpy

tf.convert_to_tensor(my_np_array, dtype=tf.float32)

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

0 vote184 views1 answer
Récupérer l'extension d'un fichier en python
Python
0 vote204 views1 answer
Jupyterthemes jplot
Python
0 vote198 views1 answer
Buble short
Python
17 votes232 views2 answers
How to uninstall python
Python
2 votes239 views1 answer
Python print dictionary line by line
Python
7 votes191 views3 answers
List of list to numpy array
Python
65 votes211 views4 answers
How to sum all the numbers in a list in python
Python
2 votes224 views2 answers
Add time to datetime python
Python
0 vote204 views1 answer
Cv2 read rgb image
Python
0 vote169 views1 answer
Link_to class
Python