PYTHON

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)

convert tensor to numpy array

#Tensor that don't requires grad.
tensor.numpy()
#Tensor that requires grad.
tensor.detach().numpy()

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 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)

numpy array to tensors

n = np.ones(5)
t = torch.from_numpy(n)