code: def tile(cls, op):
      from ..datasource import arange
  
      in_tensor = astensor(op.input)
  
      flattened = in_tensor.astype(bool).flatten()
      flattened = yield from recursive_tile(flattened)
      indices = arange(
          flattened.size, dtype=np.intp, chunk_size=flattened.nsplits
      )
      indices = indices[flattened]
      dim_indices = unravel_index(indices, in_tensor.shape)
      dim_indices = yield from recursive_tile(dim_indices)
  
      kws = [
          {
              "nsplits": ind.nsplits,
              "chunks": ind.chunks,
              "shape": o.shape,
          }
          for ind, o in zip(dim_indices, op.outputs)
      ]
      new_op = op.copy()
      return new_op.new_tensors(
          op.inputs, kws=kws, output_limit=len(kws)
      )
  
file_path: mars/mars/tensor/indexing/nonzero.py
imports: import numpy
  from ...None import opcodes
  from ...core import ExecutableTuple, recursive_tile
  from ...serialization.serializables import KeyField
  from ..operands import TensorHasInput, TensorOperandMixin
  from ..datasource import tensor
  from ..core import TensorOrder
  from .unravel_index import unravel_index
label_desc: Use image node_id 3 for calling the TensorNonzero obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op