Created by: joodo

根据 文档 中描述，写了以下测试程序（已精简）：

import paddle
import paddle.fluid as fluid


USE_CUDA = True
IMAGE_RESIZE_SIZE = 128
BATCH_SIZE = 32
PASS_NUM = 100

# Layers
def network(is_test):
    data_shape = [-1, 3, IMAGE_RESIZE_SIZE, IMAGE_RESIZE_SIZE]

    if not is_test:
        file_obj = fluid.layers.open_files(
              filenames=['train.recordio'],
              shapes=[data_shape, [-1, 1]],
              lod_levels=[0, 0],
              dtypes=['float32', 'float32'],
              pass_num=PASS_NUM,
        )
        file_obj = fluid.layers.shuffle(file_obj, buffer_size=8192)
    else:
        file_obj = fluid.layers.open_files(
              filenames=['test.recordio'],
              shapes=[data_shape, [-1, 1]],
              lod_levels=[0, 0],
              dtypes=['float32', 'float32'],
        )
    file_obj = fluid.layers.batch(file_obj, batch_size=BATCH_SIZE)
    file_obj = fluid.layers.double_buffer(file_obj)
    image_layer, label_layer = fluid.layers.read_file(file_obj)
    return label_layer

# Train program
with fluid.unique_name.guard():
    train_label_layer = network(is_test=False)

# Test program
test_program = fluid.Program()
with fluid.unique_name.guard():
    with fluid.program_guard(test_program, fluid.Program()):
        test_label_layer = network(is_test=True)

# Executor
place = fluid.CUDAPlace(0) if USE_CUDA else fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())

# Train
while True:
    test_label, = exe.run(program=test_program, fetch_list=[test_label_layer])
    print(test_label)  # 应该打印测试数据的 label
    raw_input()

结果运行时，打印的是训练数据，也就是 train.recordio 中的数据，请问是什么原因？谢谢