code: def execute(cls, ctx, op):
      if op.sparse:
          cls.execute_sparse(ctx, op)
      else:
          ctx[op.outputs[0].key] = create_array(op)(
              "ones_like", ctx[op.inputs[0].key], dtype=op.dtype
          )
  
imports: import numpy
  from ...None import opcodes
  from ...lib.sparse import SparseNDArray
  from ...lib.sparse.core import get_sparse_module, get_array_module, naked
  from ...serialization.serializables import FieldTypes, AnyField, TupleField, KeyField, StringField
  from ..array_utils import create_array, convert_order
  from ..utils import get_order
  from .core import TensorNoInput, TensorLike
  from .array import tensor
label_desc: Use image node_id 3 for calling the TensorOnesLike obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types