4a98678d4a52bc32f9c25493fa248ba5aed16dde,cleverhans_tutorials/tutorial_models.py,Linear,set_input_shape,#Linear#Any#,73

Before Change

        self.input_shape = [batch_size, dim]
        self.output_shape = [batch_size, self.num_hid]
        init = tf.random_normal([dim, self.num_hid], dtype=tf.float32)
        init = init / tf.sqrt(1e-7 + tf.reduce_sum(tf.square(init), axis=0,
                                                   keepdims=True))
        self.W = tf.Variable(init)
        self.b = tf.Variable(np.zeros((self.num_hid,)).astype("float32"))

    def fprop(self, x):

After Change

        self.output_shape = [batch_size, self.num_hid]
        init = tf.random_normal([dim, self.num_hid], dtype=tf.float32)
        // keep_dims depreciation warning in tf1.8
        if LooseVersion(tf.__version__) < LooseVersion("1.8.0"):
            init_square_sum = tf.reduce_sum(tf.square(init), axis=0, keep_dims=True)
        else:
            init_square_sum = tf.reduce_sum(tf.square(init), axis=0, keepdims=True)
        init = init / tf.sqrt(1e-7 + init_square_sum)  
        self.W = tf.Variable(init)
        self.b = tf.Variable(np.zeros((self.num_hid,)).astype("float32"))

Instances