将 Tensorflow 1.x 代码重写为 tensorflow 2.x

Question

I am dealing with a task where I have to create a code using TensorFlow-version2. I have an existing code of the same thing but in TensorFlow version 1.

with tf.variable_scope(name):
        self.obs = tf.placeholder(dtype=tf.float32, shape=[None] + list(ob_space.shape), name='obs')

        with tf.variable_scope('policy_net'):
            layer_1 = tf.layers.dense(inputs=self.obs, units=20, activation=tf.tanh)
            layer_2 = tf.layers.dense(inputs=layer_1, units=20, activation=tf.tanh)
            layer_3 = tf.layers.dense(inputs=layer_2, units=act_space.n, activation=tf.tanh)
            self.act_probs = tf.layers.dense(inputs=layer_3, units=act_space.n, activation=tf.nn.softmax)

I have worked on tf2 directly but I am facing challenges in understanding the given excerpt. Please help me understand it. Also, how can rewrite this code suitable for tf2. kindly suggest or provide me with a doc to do so.

For this, I will be really thankful to you.

Answer 1

Two ways to migrate your TensorFlow 1 code to TensorFlow 2:

1. Manually migrate low level TensorFlow APIs
2. Automatically upgrade code to TensorFlow 2