class_docstr: Store information about the Tensor: Is it sparse?, map_op, and rank.
class_docstr_tok: ["Store","information","about","the","Tensor",":","Is","it","sparse","?",",","map_op",",","and","rank","."]
docstr: Create the metadata.
  
  Args:
    sparse: Python boolean.
    map_op: The `Operation` that created the `SparseTensorsMap` in question.
      This Op contains information about the underlying Map object and the
      dtype of the original data.
    rank: The statically known rank of the `SparseTensor`.
docstr_tok: ["Create","the","metadata",".","Args",":","sparse",":","Python","boolean",".","map_op",":","The","`","Operation","`","that","created","the","`","SparseTensorsMap","`","in","question",".","This","Op","contains","information","about","the","underlying","Map","object","and","the","dtype","of","the","original","data",".","rank",":","The","statically","known","rank","of","the","`","SparseTensor","`","."]
code: def __init__(self, sparse, map_op, rank):
      """Create the metadata.
  
      Args:
        sparse: Python boolean.
        map_op: The `Operation` that created the `SparseTensorsMap` in question.
          This Op contains information about the underlying Map object and the
          dtype of the original data.
        rank: The statically known rank of the `SparseTensor`.
      """
      self._sparse = sparse
      self._map_op = map_op
      self._rank = tensor_shape.as_dimension(rank)
  
imports: from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  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.layers import utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.summary import summary
  from tensorflow.python.training import queue_runner
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 to create a new _SparseMetaData object  with example: obj = _SparseMetaData(sparse, map_op, rank)