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path: "tensorflow.profiler"
tf_module {
member {
name: "AdviceProto"
mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
}
member {
name: "GraphNodeProto"
mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
}
member {
name: "MultiGraphNodeProto"
mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
}
member {
name: "OpLogProto"
mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
}
member {
name: "ProfileOptionBuilder"
mtype: "<type \'type\'>"
}
member {
name: "Profiler"
mtype: "<type \'type\'>"
}
member_method {
name: "advise"
argspec: "args=[\'graph\', \'run_meta\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\'], "
}
member_method {
name: "profile"
argspec: "args=[\'graph\', \'run_meta\', \'op_log\', \'cmd\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'scope\', \'0\'], "
}
member_method {
name: "write_op_log"
argspec: "args=[\'graph\', \'log_dir\', \'op_log\', \'run_meta\', \'add_trace\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
}
}
|
