import tensorflow as tf

            # Apply 1 x 1 convolution to each half separately
            W_half_1 = self._make_var('W_half_1', (1, 1, in_ch, out_ch >> 1))
            X_half_1 = tf.nn.conv2d(half_1, W_half_1, (1, 1, 1, 1), padding='VALID')
            W_half_2 = self._make_var('W_half_2', (1, 1, in_ch, out_ch >> 1))
