class_docstr: A sampling graph in CSC format.
class_docstr_tok: ["A","sampling","graph","in","CSC","format","."]
docstr: Returns the indices pointer in the CSC graph.
  
  Returns
  -------
  torch.tensor
      The indices pointer in the CSC graph. An integer tensor with
      shape `(total_num_nodes+1,)`.
docstr_tok: ["Returns","the","indices","pointer","in","the","CSC","graph",".","Returns","--","--","--","-","torch.tensor","The","indices","pointer","in","the","CSC","graph",".","An","integer","tensor","with","shape","`","(","total_num_nodes+1",",",")","`","."]
code: def csc_indptr(self) -> torch.tensor:
      """Returns the indices pointer in the CSC graph.
  
      Returns
      -------
      torch.tensor
          The indices pointer in the CSC graph. An integer tensor with
          shape `(total_num_nodes+1,)`.
      """
      return self._c_csc_graph.csc_indptr()
  
imports: from typing import Dict, Optional, Union
  import torch
  from dgl.utils import recursive_apply
  from ...base import EID, ETYPE, NID, NTYPE
  from ...convert import to_homogeneous
  from ...heterograph import DGLGraph
  from ..base import etype_str_to_tuple, etype_tuple_to_str, ORIGINAL_EDGE_ID
  from ..sampling_graph import SamplingGraph
  from .sampled_subgraph_impl import CSCFormatBase, SampledSubgraphImpl
label_desc: Use image node_id 7 for calling the FusedCSCSamplingGraph obj's underlying member method code with example usage: obj.csc_indptr() and returns: self