B #=6\@srddlmZddlmZddlmZddlmZddlZddlZddlmZm Z ddZ e Z d d Z d d ZdS) )absolute_import)division)print_function)unicode_literalsN)coreextension_loadercCs*tj|std|dSt|dS)aOLoads a dynamic library that contains custom operators into Caffe2. Since Caffe2 uses static variable registration, you can optionally load a separate .so file that contains custom operators and registers that into the caffe2 core binary. In C++, this is usually done by either declaring dependency during compilation time, or via dynload. This allows us to do registration similarly on the Python side. Args: name: a name that ends in .so, such as "my_custom_op.so". Otherwise, the command will simply be ignored. Returns: None z&Ignoring {} as it is not a valid file.N)ospathexistsprintformat _init_impl)namer7/tmp/pip-install-l3r2oljg/torch/caffe2/python/dyndep.pyInitOpsLibrarys rcCstS)N)_IMPORTED_DYNDEPSrrrrGetImportedOpsLibraries)src Cs4t|tt|WdQRXtdS)N)raddrZ DlopenGuardctypesCDLLrZRefreshRegisteredOperators)r rrrr -s  r ) __future__rrrrrrZ caffe2.pythonrrrsetrrr rrrrs