kitti_low_input.py 文件源码

def shuffle_join(tensor_list_list, capacity,
                 min_ad, phase):
    name = 'shuffel_input'
    types = _dtypes(tensor_list_list)
    queue = data_flow_ops.RandomShuffleQueue(
        capacity=capacity, min_after_dequeue=min_ad,
        dtypes=types)

    # Build enque Operations
    _enqueue_join(queue, tensor_list_list)

    full = (math_ops.cast(math_ops.maximum(0, queue.size() - min_ad),
                          dtypes.float32) * (1. / (capacity - min_ad)))
    # Note that name contains a '/' at the end so we intentionally do not place
    # a '/' after %s below.
    summary_name = (
        "queue/%s/fraction_over_%d_of_%d_full" %
        (name + '_' + phase, min_ad, capacity - min_ad))
    tf.summary.scalar(summary_name, full)

    dequeued = queue.dequeue(name='shuffel_deqeue')
    # dequeued = _deserialize_sparse_tensors(dequeued, sparse_info)
    return dequeued