convert numpy to torch
torch.from_numpy(your_array)numpy array to torch tensor
np_array = np.array(data)
x_np = torch.from_numpy(np_array)convert pytorch tensor to numpy
na = a.to('cpu').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)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()Copyright © 2021 Codeinu
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