class_docstr: Tensor operand with a single input.
code: def tile(cls, op):
      output = op.outputs[0]
  
      out_chunks = []
      for c in op.input.chunks:
          out_chunk = (
              op.copy()
              .reset_key()
              .new_chunk(
                  [c], shape=c.shape, index=c.index, order=output.order
              )
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      return new_op.new_tensors(
          op.inputs,
          output.shape,
          order=output.order,
          chunks=out_chunks,
          nsplits=op.input.nsplits,
      )
  
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 4 for calling the TensorHasInput obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op