import tensorflow as tf

          min_depth=min_depth,
          depth_multiplier=depth_multiplier,
          data_format=data_format,
          scope=scope)
      with tf.variable_scope('Logits'):
        if data_format.startswith('NC'):
          net = tf.transpose(net, [0, 2, 3, 4, 1])
        kernel_size = i3d_utils.reduced_kernel_size_3d(net, [2, 7, 7])
        net = layers.avg_pool3d(
            net,
            kernel_size,
            stride=1,
