import tensorflow as tf

            normalizer_fn=None,
            data_format='NDHWC',
            scope='Conv2d_0c_1x1')
        # Temporal average pooling.
        logits = tf.reduce_mean(logits, axis=1)
        if spatial_squeeze:
          logits = tf.squeeze(logits, [1, 2], name='SpatialSqueeze')

