code: def _merge_chunks(cls, input_chunks, axis):
      from ..merge import TensorConcatenate
  
      if len(input_chunks) == 1:
          return input_chunks[0]
  
      shape = list(input_chunks[0].shape)
      shape[axis] = sum(c.shape[axis] for c in input_chunks)
  
      merge_op = TensorConcatenate(
          axis=axis, dtype=input_chunks[0].dtype
      )
      return merge_op.new_chunk(
          input_chunks, shape=tuple(shape), order=input_chunks[0].order
      )
  
imports: import itertools
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import ExecutableTuple, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import FieldTypes, KeyField, Int64Field, Int32Field, BoolField, StringField, ListField
  from ...utils import ceildiv, flatten
  from ..array_utils import as_same_device, device
  from ..core import TensorOrder
  from ..datasource import tensor
  from ..operands import TensorOperand, TensorOperandMixin
  from ..utils import validate_axis, validate_order
  from .sort import _validate_sort_psrs_kinds
label_desc: Use image node_id 19 for calling the TensorTopk obj's underlying member method code with example usage: obj._merge_chunks(cls, input_chunks, axis) and returns: merge_op, input_chunks