code: def dirichlet(
      alpha: Union[tf.Tensor, tf.Variable, float, Sequence[float]],
      /,
      *,
      size: Optional[Union[ivy.NativeShape, Sequence[int]]] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
      seed: Optional[int] = None,
      dtype: Optional[tf.Tensor] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      pass
  
file_path: ivy/ivy/functional/backends/tensorflow/experimental/random.py
imports: from typing import Union, Optional, Sequence
  import tensorflow
  from tensorflow.python.framework.dtypes import DType
  import ivy
  from ..None import backend_version
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.random import _check_shapes_broadcastable
label_desc: Use image node_id 1 for calling a global function with example usage: dirichlet() without return types