removed tensorop.txt from docs

doc/tutorials/index.txt

@@ -5,7 +5,6 @@ Tutorials
 
 .. toctree::
 
-   tensorop
    tensoroptools
    howtotest
 

doc/tutorials/tensorop.txt

-
-.. _tensoroptutorial:
-
-===============================
-How to make a new Op on tensors
-===============================
-
-This tutorial aims to explain how to create a new operation operating
-on numpy's ndarrays and using Theano's NDArrayType. It is optional but
-recommended to go through the :ref:`advtutorial` beforehand, which
-explains more in detail the purpose of each of the methods you will
-define here.
-
-The operation we will implement will be multiplication of two matrices
-of doubles. Of course, this operation already exists in Theano, but so
-do all simple operations and a tutorial works better when all concepts
-are kept as simple as possible. We will proceed by steps: the first
-step is to implement the Op in Python using numpy's multiplication
-operator. In the second step, we will extend our Op to (optionally)
-operate inplace on its inputs. In the third step, which is the most
-difficult, we will give our Op a solid C implementation.
-
-
-Implementing a new Op in Python
-===============================
-
-You are required to define two
-methods - one to create the :ref:`apply` node every time your Op is
-applied to some inputs, declaring the outputs in the process and
-another to operate on the inputs. There is also one optional method
-you may define which will compute the gradient of your Op.
-
-
-Extending the Op to work inplace
-================================
-
-WRITEME
-
-
-Writing a C implementation
-==========================
-
-WRITEME
-
-
-
-What's next
-===========
-
-Theano provides several special Ops that can make your job
-easier. Check the :ref:`tensoroptools` to see if you can leverage them
-to do what you need.
-
-It is highly recommended that you read the :ref:`opchecklist` before
-making any new Op. This can avoid you a lot of problems.
-
-