Numpy Array to Torch Tensor
np_array = np.array(data)
x_np = torch.from_numpy(np_array)
Clever Cow
np_array = np.array(data)
x_np = torch.from_numpy(np_array)
import numpy as np
import torch
numpy_array = np.array([1,3,5])
tensor_array = torch.from_numpy(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)