code: def __init__(self, type, data, name=None):
      assert isinstance(data, slice)
      # Numpy ndarray aren't hashable, so get rid of them.
      if isinstance(data.start, np.ndarray):
          assert data.start.ndim == 0
          assert str(data.start.dtype) in theano.tensor.integer_dtypes
          data = slice(int(data.start), data.stop, data.step)
      elif isinstance(data.stop, np.ndarray):
          assert data.stop.ndim == 0
          assert str(data.stop.dtype) in theano.tensor.integer_dtypes
          data = slice(data.start, int(data.stop), data.step)
      elif isinstance(data.step, np.ndarray):
          assert data.step.ndim == 0
          assert str(data.step.dtype) in theano.tensor.integer_dtypes
          data = slice(data.start, int(data.stop), data.step)
      Constant.__init__(self, type, data, name)
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import theano
  from theano.gof import Apply, Constant, Generic, Op, Type, hashtype
  from theano.gradient import DisconnectedType
label_desc: Use image node_id 1 to create a new SliceConstant object from inherited base classes: Constant with example: obj = SliceConstant(type, data, name)