import tensorflow as tf

    #         This works because we use sparse_softmax_cross_entropy
    nclass = 1001
  else:
    nclass = 1001
    input_shape = [batch_size, image_size, image_size, input_nchan]
    images = tf.truncated_normal(
        input_shape,
        dtype=input_data_type,
        stddev=1e-1,
        name='synthetic_images')
