what's the difference between np.where and tf.where

np.where is a function in NumPy which returns an array of elements from x or y, depending on the conditions specified in the condition parameter. It can also be used to replace values in a NumPy array based on certain conditions.

tf.where is a similar function in TensorFlow which returns a new tensor containing elements either from x or y, depending on the conditions specified in the condition parameter. It can also be used to replace values in a tensor based on certain conditions.

The main difference between np.where and tf.where is that np.where operates on NumPy arrays, whereas tf.where operates on TensorFlow tensors. Additionally, tf.where can only be used with tensors of the same shape, while np.where can handle arrays of different shapes.