code: def gamma(shape, alpha, dtype=None, seed=None):
      dtype = dtype or floatx()
      seed = tf_draw_seed(seed)
      return tf.random.stateless_gamma(
          shape,
          alpha=alpha,
          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 10 for calling a global function with example usage: gamma(shape, alpha, dtype, seed) and returns: tf