code: def truncated_normal(
      shape, mean=0.0, stddev=1.0, dtype=None, seed=None
  ):
      dtype = dtype or floatx()
      seed = tf_draw_seed(seed)
      return tf.random.stateless_truncated_normal(
          shape=shape, mean=mean, stddev=stddev, dtype=dtype, seed=seed
      )
  
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 6 for calling a global function with example usage: truncated_normal(shape, mean, stddev, dtype, seed) and returns: tf