In numpy converting a np tensor to bytes can be done as follows:
import tensorflow as tf
import numpy as np
b = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.uint8)
bytesArr = b.tobytes()
print(bytesArr)
In tensorflow you can do this to create the tensor, but how can you convert the result to a bytearray?
a = tf.cast(tf.constant([[1.0, 2.0], [3.0, 4.0]]), tf.uint8)
#Do conversion here
Also: I'm also working on a tf model wrapped in @tf.function, so eager execution is not enabled, which means I can't use the .numpy() method on the tensor.