小编dbo*_*ers的帖子

有没有办法输入抽象父类方法，以便知道子类方法返回自身，而不是抽象父类。

class Parent(ABC):
    @abstractmethod
    def method(self) -> [what to hint here]:
        pass

class Child1(Parent)
    def method(self):
        pass

    def other_method(self):
        pass

class GrandChild1(Child1)
    def other_method_2(self):
        pass

这更多是为了改进 PyCharm 或 VScode 的 python 插件等 IDE 的自动完成功能。

我正在尝试在训练后从模型中提取权重.这是一个玩具的例子

import tensorflow as tf
import numpy as np

X_ = tf.placeholder(tf.float64, [None, 5], name="Input")
Y_ = tf.placeholder(tf.float64, [None, 1], name="Output")

X = ...
Y = ...
with tf.name_scope("LogReg"):
    pred = fully_connected(X_, 1, activation_fn=tf.nn.sigmoid)
    loss = tf.losses.mean_squared_error(labels=Y_, predictions=pred)
    training_ops = tf.train.GradientDescentOptimizer(0.01).minimize(loss)

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    for i in range(200):
        sess.run(training_ops, feed_dict={
            X_: X,
            Y_: Y
        })
        if (i + 1) % 100 == 0:
            print("Accuracy: ", sess.run(accuracy, feed_dict={
                X_: X,
                Y_: Y
            }))

# Get weights of *pred* here …