Theano is a python library for manipulating and evaluating expressions, especially matrix-valued ones.
Theano is a python library and optimizing compiler for manipulating and evaluating expressions, especially matrix-valued ones.
What does Theano do that Python and numpy do not?
- *execution speed optimizations*: Theano can use `g++` to compile parts your expression graph into native machine code, which runs much faster than python.
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@@ -37,13 +37,17 @@ Here's a very simple example of how to use Theano. It doesn't show off many of
Theano is not a programming language in the normal sense because you write a program in Python that builds expressions for Theano. Still it is like a programming language in the sense that to use theano, you have to
- declare variables ({{{a,b}}}) and give their types
- declare variables (``a,b``) and give their types
- build expressions for how to put those variables together
- compile expression graphs to functions in order to use them for computation.
It is good to think of `theano.function` as the interface to a compiler which builds a callable object from a purely symbolic graph.
It is good to think of ``theano.function`` as the interface to a compiler
which builds a callable object from a purely symbolic graph; one of
theano's most important features is that ``theano.function`` can
optimize a graph, and even compile some or all of it into native machine
instructions if you pass ``linker='c'`` as a keyword argument.
License
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@@ -55,9 +59,6 @@ Theano is licensed under a BSD-like license. See the LICENSE file in the projec
Installation
============
(See also the :wiki:`InstallationNotes` on the wiki.)
Software Requirements
---------------------
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@@ -94,15 +95,24 @@ Get the source and run the tests like this:
cd Theano
nosetests #execute all the tests
All tests should pass. From time to time, their is some test that are know to fail, but normally we know them and are trying to fix them. But to be sure contact us about them.
All tests should pass. From time to time, there is some test that are
know to fail, but normally we know them and are trying to fix them. But
to be sure contact us about them.
To define PYTHONPATH if it don't exist:
The environment variables PYTHONPATH should be modified to allow python
import. In bash do this:
.. code-block:: bash
export PYTHONPATH=<path to theano>:$PYTHONPATH
export PYTHONPATH=<path to theano>:$PYTHONPATH
In csh:
.. code-block:: csh
setevn PYTHONPATH <path to theano>:$PYTHONPATH
To update your library to the latest on pylearn.org, change directory (`cd`) to this `theano` folder and type
To update your library to the latest on pylearn.org, change directory (`cd`) to this `Theano` folder and type
.. code-block:: bash
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@@ -112,7 +122,7 @@ To update your library to the latest on pylearn.org, change directory (`cd`) to
Two environment variables are used to control automatic code generation.
(It is possible to use theano in a way that avoids all automatic code generation, but the functions you make using {{{theano.function}}} will execute more slowly.)
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@@ -184,6 +194,14 @@ Use something like the following in your .bashrc:
# Theano is not process-safe or thread-safe in this sense.
THEANO_COMPILEDIR=/ltmp/<username>_theano
You may also need to run the following from your shell:
.. code-block:: bash
module add python # for the current shell session
module initadd python # for this and future sessions
Lastly, if ``./filename.py`` doesn't work, try ``python filename.py``.
