tensor to numpy code example

Example 1: tf tensor from numpy

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

Example 2: tensot to numpy pytorch

#Back and forth between torch tensor and numpy

#np --> tensot
torch.from_numpy(your_numpy_array)

#tensor --> np
your_torch_tensor.numpy()

Example 3: 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)

Example 4: tensor.numpy() pytorch gpu

tensor_array.cpu().detach().numpy()

Example 5: 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()