提交 e09215fb authored 作者: Nicolas Ballas's avatar Nicolas Ballas

minor fixes

上级 e9e85467
......@@ -218,7 +218,7 @@ MinGW, but this has not been tested yet.
it for instance to ``C:\mingw64``. Also download MSYS from
`this page <http://sourceforge.net/projects/mingw-w64/files/External%20binary%20packages%20%28Win64%20hosted%29/MSYS%20%2832-bit%29/>`__
(although it is a 32-bit version of MSYS, this does not matter since it is only
a convenience tool). Extract MSYS into the same folder, so that, for instance you
a convenience tool). Extract MSYS into the same folder, so that, for instance, you
end up with ``C:\mingw64\msys``. Run ``C:\mingw64\msys\msys.bat`` and in the MSYS
shell, type
......@@ -424,31 +424,6 @@ should run at a speed similar to the regular NumPy
multiplication. (Both Numpy and Theano should call the same BLAS
routine for matrix multiplication)
Running Theano's test-suite
+++++++++++++++++++++++++
Currently, due to memory fragmentation issue in Windows, the
test-suite breaks at some point when using ``theano-nose``, with many error
messages looking
like: ``DLL load failed: Not enough storage is available to process this
command``. As a workaround, you can instead run:
.. code-block:: bash
theano-nose --batch
This will run tests in batches of 100, which should avoid memory errors.
Note that this script calls ``nosetests``, which may require being run from
within an MSYS shell if you installed Nose manually as described above.
.. note::
In Theano versions <= 0.5, ``theano-nose`` was not included. If you
are working with such a version, you can call this command instead:
.. code-block:: bash
python theano/tests/run_tests_in_batch.py
Configure Theano for GPU use
############################
......@@ -477,9 +452,31 @@ CPU matrix multiplication performed by NumPy.
You can also find additional test code and useful GPU tips on the
:ref:`using_gpu` page.
Running Theano's test-suite
###########################
Currently, due to memory fragmentation issue in Windows, the
test-suite breaks at some point when using ``theano-nose``, with many error
messages looking
like: ``DLL load failed: Not enough storage is available to process this
command``. As a workaround, you can instead run:
.. code-block:: bash
theano-nose --batch
This will run tests in batches of 100, which should avoid memory errors.
Note that this script calls ``nosetests``, which may require being run from
within an MSYS shell if you installed Nose manually as described above.
.. note::
In Theano versions <= 0.5, ``theano-nose`` was not included. If you
are working with such a version, you can call this command instead:
.. code-block:: bash
python theano/tests/run_tests_in_batch.py
Compiling a faster BLAS
~~~~~~~~~~~~~~~~~~~~~~~
......
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