numpy array to torch tensor
np_array = np.array(data)
x_np = torch.from_numpy(np_array)
numpy array to torch tensor
np_array = np.array(data)
x_np = torch.from_numpy(np_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)
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)
Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us