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 vote266 views1 answer
Taille du liste python
Python
3 votes265 views1 answer
Local testing server Python
Python
0 vote261 views1 answer
Python send text
Python
5 votes317 views2 answers
Python Text Recognition
Python
0 vote261 views1 answer
Store array to nii file
Python
0 vote272 views1 answer
List dictionary to json file python with tab
Python
1 vote246 views1 answer
Take multiple string as int in a list python
Python
0 vote267 views1 answer
Python >>> import this
Python
0 vote262 views1 answer
How to take first half of list python
Python
1 vote269 views1 answer
Django m2m .add
Python