parameters: (self, n, seed=None)
return_statement: return random_ops.random_gamma([n],
                                     self.alpha,
                                     beta=self.beta,
                                     dtype=self.dtype,
                                     seed=seed)
docstring: See the documentation for tf.random_gamma for more details.
docstring_summary: See the documentation for tf.random_gamma for more details.
docstring_tokens: See the documentation for tf . random_gamma for more details .
function: def _sample_n(self, n, seed=None):
      """See the documentation for tf.random_gamma for more details."""
      return random_ops.random_gamma([n],
                                     self.alpha,
                                     beta=self.beta,
                                     dtype=self.dtype,
                                     seed=seed)
function_tokens: def _sample_n ( self , n , seed = None ) : return random_ops . random_gamma ( [ n ] , self . alpha , beta = self . beta , dtype = self . dtype , seed = seed )