Need explain about model

[omg777]

Hi, Thanks for you nice code!
Im trying to re-implement this codes to pytorch.
but I cant understand the models 'label_predictor' and 'domain_predictor

            W_fc0 = weight_variable([7 * 7 * 48, 100])
            b_fc0 = bias_variable([100])
            h_fc0 = tf.nn.relu(tf.matmul(classify_feats, W_fc0) + b_fc0)

            W_fc1 = weight_variable([100, 100])
            b_fc1 = bias_variable([100])
            h_fc1 = tf.nn.relu(tf.matmul(h_fc0, W_fc1) + b_fc1)

            W_fc2 = weight_variable([100, 10])
            b_fc2 = bias_variable([10])
            logits = tf.matmul(h_fc1, W_fc2) + b_fc2

In label_predictor, It looks there is no conv or FC layer.
Can you explain about this network?

[omg777]

resolved