e9102d12d24e0809bf5e6d8fcd766488178c12f5,deepchem/models/tensorgraph/layers.py,Highway,create_tensor,#Highway#Any#Any#,632

Before Change

    parent = inputs[0]
    shape = parent.get_shape().as_list()[1]
    // H(x), with same number of input and output channels
    dense_H = tf.contrib.layers.fully_connected(
        parent,
        num_outputs=shape,
        activation_fn=self.activation_fn,
        biases_initializer=self.biases_initializer(),
        weights_initializer=self.weights_initializer(),
        trainable=True)
    // T(x), with same number of input and output channels
    dense_T = tf.contrib.layers.fully_connected(
        parent,
        num_outputs=shape,

After Change

  def create_tensor(self, in_layers=None, set_tensors=True, **kwargs):
    inputs = self._get_input_tensors(in_layers)
    parent = inputs[0]
    if tfe.in_eager_mode():
      layers = self._layers
    else:
      layers = self._build_layers()
    dense_H = layers[0](parent)
    dense_T = layers[1](parent)
    out_tensor = tf.multiply(dense_H, dense_T) + tf.multiply(
        parent, 1 - dense_T)

Instances