963fe85a11f1c17dd18579662ca13629140b7f26,cde/density_estimator/MDN.py,MixtureDensityNetwork,_build_model,#MixtureDensityNetwork#Any#Any#,209

Before Change

    implementation of the MDN
    
    // create a placeholder for the target
    self.y_ph = y_ph = tf.placeholder(tf.float32, [None, self.ndim_y])
    //self.y_ph = y_ph = tf.placeholder(tf.float32, [None])
    self.n_sample_ph = tf.placeholder(tf.int32, None)

After Change

    // create a placeholders
    self.Y_ph = tf.placeholder(tf.float32, [None, self.ndim_y])
    self.n_sample_ph = tf.placeholder(tf.int32, None)
    self.train_phase = tf.placeholder_with_default(tf.Variable(False), None)

    // Gaussian noise over Y during training
    if self.y_noise_std:
      y_noised = self.Y_ph + tf.random_normal(tf.shape(self.Y_ph), stddev=self.y_noise_std)
      self.y_input = tf.cond(self.train_phase, lambda: y_noised, lambda: self.Y_ph)
    else:
      self.y_input = self.Y_ph

    // if no external estimator is provided, create a default neural network

Instances