60bb3aa4b32751ba7b8ee3a8e79b360626c80855,tensorlayer/layers/recurrent.py,BiRNNLayer,__init__,#BiRNNLayer#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,301

Before Change

                    // 3D Tensor [n_example/n_steps, n_steps, n_hidden]

                    try:  // TF1.0
                        self.outputs = tf.reshape(tf.concat(outputs, 1), [-1, n_steps, n_hidden * 2])
                    except Exception:  // TF0.12
                        self.outputs = tf.reshape(tf.concat(1, outputs), [-1, n_steps, n_hidden * 2])
            self.fw_final_state = fw_state

After Change

                    try:  // TF1.0
                        self.outputs = tf.reshape(tf.concat(outputs, 1), [-1, n_hidden * 2])
                    except Exception:  // TF0.12
                        self.outputs = tf.reshape(tf.concat(1, outputs), [-1, n_hidden * 2])
                else:
                    // <akara>: stack more RNN layer after that
                    // 3D Tensor [n_example/n_steps, n_steps, n_hidden]

Instances