提交 dbb03761 authored 作者: Frédéric Bastien's avatar Frédéric Bastien

Merge pull request #2325 from abergeron/doc

Document nvcc.fastmath and fix cxx description.
.. _libdoc_config:
=======================================
:mod:`config` -- Theano Configuration
:mod:`config` -- Theano Configuration
=======================================
.. module:: config
......@@ -493,19 +493,29 @@ import theano and print the config variable, as in:
.. attribute:: cxx
Default: Full path to g++ if g++ is present. Empty string otherwise.
Default: 'g++' if g++ is present. Empty string otherwise.
Indicates which C++ compiler to use. If empty, no C++ code is
compiled. Theano automatically detects whether g++ is present and
disables C++ compilation when it is not. On darwin systems (Mac
OS X), it preferably looks for clang++ and uses that if available.
Indicates which C++ compiler to use. If empty, no C++ code is compiled.
Theano automatically detects whether g++ is present and disables
C++ compilation when it is not.
We print a warning if we detect that g++ is not present. It is
We print a warning if we detect that no compiler is present. It is
recommended to run with C++ compilation as Theano will be much
slower otherwise.
Currently only g++ is supported, but supporting other compilers should
not be too difficult.
This can be any compiler binary (full path or not) but things may
break if the interface if not g++-compatible to some degree.
.. attribute:: config.nvcc.fastmath
Default: False
If true, this will enable fastmath (`--use_fast_math
<http://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/#options-for-steering-cuda-compilation>`_)
mode for compiled cuda code which makes div and sqrt faster at the
cost of precision. This also disables support for denormal
numbers.
.. attribute:: optimizer_excluding
......@@ -705,7 +715,7 @@ import theano and print the config variable, as in:
debugging mechanism, where Theano executes the graph on-the-fly, as it is
being built. This allows the user to spot errors early on (such as
dimension mis-match), **before** optimizations are applied.
Theano will execute the graph using the Constants and/or shared variables
provided by the user. Purely symbolic variables (e.g. x = T.dmatrix()) can be
augmented with test values, by writing to their ``'tag.test_value'``
......@@ -718,7 +728,7 @@ import theano and print the config variable, as in:
- ``'warn'`` will raise a UserWarning and skip the debug mechanism for
this Op
- ``'raise'`` will raise an Exception
.. attribute:: compute_test_value_opt
As ``compute_test_value``, but it is the value used during Theano
......@@ -729,18 +739,18 @@ import theano and print the config variable, as in:
Bool value, default: True
Theano users can use the standard python pickle tools to save a compiled
theano function. When pickling, both graph before and after the optimization
are saved, including shared variables. When set to True, the graph is
reoptimized when being unpickled. Otherwise, skip the graph optimization and
use directly the optimized graph.
Theano users can use the standard python pickle tools to save a compiled
theano function. When pickling, both graph before and after the optimization
are saved, including shared variables. When set to True, the graph is
reoptimized when being unpickled. Otherwise, skip the graph optimization and
use directly the optimized graph.
.. attribute:: exception_verbosity
String Value: ``'low'``, ``'high'``.
Default: ``'low'``
If ``'low'``, the text of exceptions will generally refer to apply nodes
with short names such as ``'Elemwise{add_no_inplace}'``. If ``'high'``,
some exceptions will also refer to apply nodes with long descriptions like:
......
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