code: def create_tileable_from_chunks(cls, chunks, inputs=None, **kw):
      chunk_idx_to_shape = {c.index: c.shape for c in chunks}
      nsplits = calc_nsplits(chunk_idx_to_shape)
      shape = tuple(sum(ns) for ns in nsplits)
      op = chunks[0].op.copy().reset_key()
      return op.new_tensor(
          inputs,
          shape=shape,
          chunks=chunks,
          nsplits=nsplits,
          dtype=chunks[0].dtype,
          **kw,
      )
  
imports: from ..core import OutputType
  from ..core.operand import Operand, TileableOperandMixin, HasInput, ShuffleProxy, MapReduceOperand, Fuse
  from ..serialization.serializables import DataTypeField
  from ..utils import calc_nsplits
label_desc: Use image node_id 4 for calling the TensorOperandMixin obj's underlying member method code with example usage: obj.create_tileable_from_chunks(cls, chunks, inputs) and returns: op