code: def to_chunk_op(self, *args):
      _, chunk_index, nsplits = args
      chunk_op = super().to_chunk_op(*args)
      cum_offsets = [[0] + np.cumsum(ns).tolist() for ns in nsplits]
      axis_offsets = []
      for axis, idx in enumerate(chunk_index):
          axis_offsets.append(cum_offsets[axis][idx])
      chunk_op._axis_offsets = tuple(axis_offsets)
      return chunk_op
  
imports: import itertools
  import numpy
  from ...config import options
  from ...serialization.serializables import FieldTypes, StringField, TupleField
  from ..utils import normalize_shape, decide_chunk_sizes
  from ..core import TensorOrder
  from ..operands import TensorOperand, TensorOperandMixin
label_desc: Use image node_id 7 for calling the TensorFromHDF5Like obj's underlying member method code with example usage: obj.to_chunk_op() and returns: chunk_op