提交 2317c931 authored 作者: nouiz's avatar nouiz

Merge pull request #253 from delallea/macos_install

Minor fixes to doc
...@@ -426,7 +426,7 @@ Theano dependencies is easy, but be aware that it will take a long time ...@@ -426,7 +426,7 @@ Theano dependencies is easy, but be aware that it will take a long time
- Afterwards, please check that the ``scipy`` module that is imported in - Afterwards, please check that the ``scipy`` module that is imported in
Python is the right one (and is a recent one). For instance, ``import Python is the right one (and is a recent one). For instance, ``import
scipy`` followed by ``print scipy.version`` and ``print scipy.__path__`` scipy`` followed by ``print scipy.__version__`` and ``print scipy.__path__``
should result in a version number of at least 0.7.0 and a path that starts should result in a version number of at least 0.7.0 and a path that starts
with ``/opt/local`` (the path where MacPorts installs its packages). If this with ``/opt/local`` (the path where MacPorts installs its packages). If this
is not the case, then you might have some old installation of ``scipy`` in your is not the case, then you might have some old installation of ``scipy`` in your
......
...@@ -152,7 +152,7 @@ The output from this program is ...@@ -152,7 +152,7 @@ The output from this program is
.. code-block:: text .. code-block:: text
Using gpu device 0: GeForce GTX 285 Using gpu device 0: GeForce GTX 285
Looping 100 times took 0.185714006424 seconds Looping 1000 times took 0.185714006424 seconds
Result is <CudaNdarray object at 0x3e9e970> Result is <CudaNdarray object at 0x3e9e970>
Numpy result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761 1.62323296] Numpy result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761 1.62323296]
...@@ -208,7 +208,7 @@ the CPU implementation! ...@@ -208,7 +208,7 @@ the CPU implementation!
.. code-block:: text .. code-block:: text
Using gpu device 0: GeForce GTX 285 Using gpu device 0: GeForce GTX 285
Looping 100 times took 0.0497219562531 seconds Looping 1000 times took 0.0497219562531 seconds
Result is <CudaNdarray object at 0x31eeaf0> Result is <CudaNdarray object at 0x31eeaf0>
Numpy result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761 1.62323296] Numpy result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761 1.62323296]
...@@ -280,4 +280,4 @@ Changing the value of shared variables ...@@ -280,4 +280,4 @@ Changing the value of shared variables
To change the value of a shared variable, e.g. to provide new data to process, To change the value of a shared variable, e.g. to provide new data to process,
use ``shared_variable.set_value(new_value)``. For a lot more detail about this, use ``shared_variable.set_value(new_value)``. For a lot more detail about this,
see :ref:`aliasing`. see :ref:`aliasing`.
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