BitwiseAnd

import tensorflow as tf
 from tensorflow.python.ops import bitwise_ops
 dtype_list = [tf.int8, tf.int16, tf.int32, tf.int64,
               tf.uint8, tf.uint16, tf.uint32, tf.uint64]
 
 for dtype in dtype_list:
   lhs = tf.constant([0, 5, 3, 14], dtype=dtype)
   rhs = tf.constant([5, 0, 7, 11], dtype=dtype)
   exp = tf.constant([0, 0, 3, 10], dtype=tf.float32)
 
   res = bitwise_ops.bitwise_and(lhs, rhs)
   tf.assert_equal(tf.cast(res, tf.float32), exp) # TRUE