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pytensor
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defde90f
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defde90f
authored
2月 16, 2011
作者:
Pascal Lamblin
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Update documentation regarding init_gpu_device flag.
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doc/install.txt
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defde90f
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@@ -240,7 +240,12 @@ documentation to know how to configure them differently.
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@@ -240,7 +240,12 @@ documentation to know how to configure them differently.
.. note::
.. note::
The tests should be run with the ``THEANO_FLAGS`` ``device=cpu`` (default).
The tests should be run with the ``THEANO_FLAGS`` ``device=cpu`` (default).
Otherwise, it will generate false errors.
Otherwise, it will generate false errors. If you have a GPU, it will
automatically be used to run GPU-related tests.
If you want the GPU-related tests to run on a specific GPU device, and not
the default one, you should use :attr:`~config.init_gpu_device`, for
instance ``THEANO_FLAGS=init_gpu_device=gpu1``.
All tests should pass except those marked as ``KnownFailureTest``. If some
All tests should pass except those marked as ``KnownFailureTest``. If some
test fails on your machine, you are encouraged to tell us what went wrong on
test fails on your machine, you are encouraged to tell us what went wrong on
...
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doc/library/config.txt
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defde90f
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@@ -121,13 +121,17 @@ import theano and print the config variable, as in:
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@@ -121,13 +121,17 @@ import theano and print the config variable, as in:
.. attribute:: init_gpu_device
.. attribute:: init_gpu_device
String value: either '', 'gpu0', 'gpu1', 'gpu2', or 'gpu3'
String value: either ``''``, ``'gpu'``, ``'gpu0'``, ``'gpu1'``, ``'gpu2'``,
or ``'gpu3'``
Initialize the gpu device to use. This don't change anything other. So by
Initialize the gpu device to use.
default we continue to do computation on the cpu and we keep shared variable
When its value is gpu*, the theano flag :attr:`device` must be ``"cpu"``.
on the cpu memory.
Unlike :attr:`device`, setting this flag to a specific GPU will not
try to use this device by default, in particular it will **not** move
computations, nor shared variables, to the specified GPU.
When its value is gpu*, the theano flag device must be cpu.
This flag is useful to run GPU-specific tests on a particular GPU, instead
of using the default one.
.. attribute:: floatX
.. attribute:: floatX
...
...
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