text: """Define the tensor toplevel"""
  __docformat__ = "restructuredtext en"
  
  import warnings
  
  from basic import *
  
  import opt
  import opt_uncanonicalize
  import blas
  import blas_scipy
  import blas_c
  import xlogx
  
  import raw_random
  import randomstreams
  import shared_randomstreams
  from randomstreams import \
      RandomStreams
  
  random = RandomStreams(seed=0xBAD5EED)
  """Imitate the numpy.random symbol with a tensor.random one"""
  
  from elemwise import \
      DimShuffle, Elemwise, CAReduce
  
  import sharedvar  # adds shared-variable constructors
  
  # We import as `_shared` instead of `shared` to avoid confusion between
  # `theano.shared` and `tensor._shared`.
  from sharedvar import tensor_constructor as _shared
  
  from io import *
  
  def shared(*args, **kw):
      """
      Backward-compatibility wrapper around `tensor._shared`.
  
      Once the deprecation warning has been around for long enough, this function
      can be deleted.
      """
      # Note that we do not use the DeprecationWarning class because it is
      # ignored by default since python 2.7.
      warnings.warn('`tensor.shared` is deprecated. You should probably be using'
                    ' `theano.shared` instead (if you *really* intend to call '
                    '`tensor.shared`, you can get rid of this warning by using '
                    '`tensor._shared`).',
                    stacklevel=2)
      return _shared(*args, **kw)
  
  
  import nnet  # used for softmax, sigmoid, etc.
  
  from theano.gradient import Rop, Lop, grad, numeric_grad, verify_grad, \
      jacobian, hessian
  
  from theano.tensor.sort import sort
  