convert numpy array to tensor

1torch.from_numpy(your_array)

1tf.convert_to_tensor(my_np_array, dtype=tf.float32)

1import tensorflow as tf
2
3a = tf.constant([[1, 2], [3, 4]])                 
4b = tf.add(a, 1)
5
6a.numpy()
7# array([[1, 2],
8#        [3, 4]], dtype=int32)
9
10b.numpy()
11# array([[2, 3],
12#        [4, 5]], dtype=int32)
13
14tf.multiply(a, b).numpy()
15# array([[ 2,  6],
16#        [12, 20]], dtype=int32)
17

1import torch
2
3# Create PyTorch tensor
4A_torch = torch.tensor([1, 2])
5
6# Convert tensor to NumPy array
7A_np = A_torch.numpy()

1import numpy as np
2import torch
3
4numpy_array = np.array([1,3,5])
5tensor_array = torch.from_numpy(numpy_array)