d72cd19198775068a1f26384146f19498554499f,examples/basic_tutorials/4_mnist_mlp_eager_mode_dynamic_reuse_model.py,CustomModelHidden,__init__,#CustomModelHidden#,22

Before Change

        self.innet = Input([None, 784])
        self.dropout1 = Dropout(keep=0.8)(self.innet)
        self.dense1 = Dense(n_units=800, act=tf.nn.relu)(self.dropout1)
        self.dropout2 = Dropout(keep=0.8)(self.dense1)
        self.dense2 = Dense(n_units=800, act=tf.nn.relu)(self.dropout2)
        self.dropout3 = Dropout(keep=0.8)(self.dense2)

    def forward(self, x):

After Change

        self.innet = Input([None, 784])
        self.dropout1 = Dropout(keep=0.8)(self.innet)

        self.seq = SequentialLayer(
            self.dropout1,
            [
                Dense(n_units=800, act=tf.nn.relu),
                Dropout(keep=0.8),
                Dense(n_units=800, act=tf.nn.relu),
            ]
        )

        self.dropout3 = Dropout(keep=0.8)(self.seq)

Instances