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path: "tensorflow.train.ExponentialMovingAverage"
tf_class {
is_instance: "<class \'tensorflow.python.training.moving_averages.ExponentialMovingAverage\'>"
is_instance: "<type \'object\'>"
member {
name: "name"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'decay\', \'num_updates\', \'zero_debias\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'ExponentialMovingAverage\'], "
}
member_method {
name: "apply"
argspec: "args=[\'self\', \'var_list\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "average"
argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "average_name"
argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "variables_to_restore"
argspec: "args=[\'self\', \'moving_avg_variables\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
|
