mirror of
https://github.com/zebrajr/pytorch.git
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37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import ctypes
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import os
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from caffe2.python import core, extension_loader
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def InitOpsLibrary(name):
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"""Loads a dynamic library that contains custom operators into Caffe2.
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Since Caffe2 uses static variable registration, you can optionally load a
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separate .so file that contains custom operators and registers that into
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the caffe2 core binary. In C++, this is usually done by either declaring
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dependency during compilation time, or via dynload. This allows us to do
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registration similarly on the Python side.
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Args:
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name: a name that ends in .so, such as "my_custom_op.so". Otherwise,
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the command will simply be ignored.
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Returns:
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None
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"""
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if not os.path.exists(name):
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# Note(jiayq): if the name does not exist, instead of immediately
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# failing we will simply print a warning, deferring failure to the
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# time when an actual call is made.
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print('Ignoring {} as it is not a valid file.'.format(name))
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return
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with extension_loader.DlopenGuard():
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ctypes.CDLL(name)
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# reinitialize available ops
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core.RefreshRegisteredOperators()
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