To convert a Tensor object to a list in Python using TensorFlow, you can use the tf.compat.v1.Session() and eval() functions. The example code below shows how to do this: import tensorflow as tf # ...

import torch list_data = [1, 2, 3] tensor_data = torch.tensor(list_data) print(tensor_data) # Output: tensor([1, 2, 3]) In this example code, the following parts are ...

img = face() #Represent the image as a tensor img = tl.tensor(zoom(face(), (0.3, 0.3, 1)), dtype='float64') Define a function to convert image tensor’s datatype from float to unsigned integer def ...