Generating random sequence in tensorflow with another tensor as seed

I have a use-case where I need to generate a sequence of random integers given an input integer. There are many ways to do this in python. The one I am currently using is as follows:

import hashlib
def nextRandom(seed, length, maxval):
    md5 = hashlib.md5(str(hash(seed)).encode('utf-8'))
    for k in range(length):
        md5.update(str(k).encode('utf-8'))
        yield int(md5.hexdigest(), 16) % maxval

seed = 12345
length = 10
maxval = 1000
for randInt in nextRandom(seed, length, maxval):
    print(randInt)

This ensures that the generated sequence is fixed given a seed value.

Now, I need to a similar functionality in tensorflow where seed comes as a tensor and the returned sequence should also be tensor.

I checked this issue in tensorflow github page, but couldn't find a working solution.