code: def dynamic_partition(
      data: ragged_tensor.RaggedOrDense,
      partitions: ragged_tensor.RaggedOrDense,
      num_partitions,
      name=None,
  ):
      """RaggedTensor dispatch override for tf.dynamic_partition."""
      if not isinstance(num_partitions, int) or num_partitions < 0:
          raise TypeError(
              "num_partitions must be a non-negative integer"
          )
      result = stack_dynamic_partitions(
          data, partitions, num_partitions, name
      )
      return [result[i] for i in range(num_partitions)]
  
imports: from typing import Optional
  from typing import Union
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import gen_ragged_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sort_ops
  from tensorflow.python.ops.ragged import dynamic_ragged_shape
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_util
  from tensorflow.python.ops.ragged import segment_id_ops
  from tensorflow.python.types import core
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 18 for calling a global function with example usage: dynamic_partition(data, partitions, num_partitions, name) and returns: unknown