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path: "tensorflow.train.SummarySaverHook"
tf_class {
is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.SummarySaverHook\'>"
is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
is_instance: "<type \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'save_steps\', \'save_secs\', \'output_dir\', \'summary_writer\', \'scaffold\', \'summary_op\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "after_create_session"
argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "after_run"
argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "before_run"
argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "begin"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "end"
argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
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