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path: "tensorflow.profiler.Profiler"
tf_class {
is_instance: "<class \'tensorflow.python.profiler.model_analyzer.Profiler\'>"
is_instance: "<type \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'graph\', \'op_log\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "add_step"
argspec: "args=[\'self\', \'step\', \'run_meta\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "advise"
argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "profile_graph"
argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "profile_name_scope"
argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "profile_operations"
argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "profile_python"
argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "serialize_to_string"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}
|
