code: def tf_draw_seed(seed):
      # TF ops only accept int32/64 seeds but our base seed is uint32.
      return tf.cast(draw_seed(seed), dtype="int32")
  
file_path: keras/keras/backend/tensorflow/random.py
imports: import tensorflow
  from tensorflow.experimental import numpy
  from keras.backend.common import standardize_dtype
  from keras.backend.config import floatx
  from keras.random.seed_generator import SeedGenerator
  from keras.random.seed_generator import draw_seed
  from keras.random.seed_generator import make_default_seed
label_desc: Use image node_id 1 for calling a global function with example usage: tf_draw_seed(seed) and returns: tf