How can I modifya sequencial data using map or filter or reduce method for tf.data.Dataset objects?

Question

I have a python data generator-

import numpy as np
import tensorflow as tf

vocab_size = 5
def create_generator():
    \'generates sequences of varying length         


        

Answer 1

Your for loop should look like:

new_gen = []
for g in gen:
    arr = np.array(g) % 2 != 0: 
    if len(list(arr)) >= 2:
        new_gen.append(arr)

print(new_gen)