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path: "tensorflow.GradientTape"
tf_class {
is_instance: "<class \'tensorflow.python.eager.backprop.GradientTape\'>"
is_instance: "<type \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'persistent\', \'watch_accessed_variables\'], varargs=None, keywords=None, defaults=[\'False\', \'True\'], "
}
member_method {
name: "gradient"
argspec: "args=[\'self\', \'target\', \'sources\', \'output_gradients\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "reset"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "stop_recording"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "watch"
argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "watched_variables"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}
|
