images = fluid.layers.data(name='images', shape=[3,240,240], dtype='float32')#如果把[3,240,240]改成[240,240，3]可以往下运行但数据格式就不对了

label = fluid.layers.data(name='label', shape=[1], dtype='float32')

predict = cnn(images)
cost = fluid.layers.cross_entropy(input=predict, label=label)

avg_cost = fluid.layers.mean(cost)
label = fluid.layers.data(name='label', shape=[1], dtype='float32')
acc = fluid.layers.accuracy(input=predict, label=label)
#定义优化器
optimizer = fluid.optimizer.AdamOptimizer(learning_rate=0.001)

optimizer.minimize(avg_cost)
print('优化')

use_cuda = False
place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
exe = fluid.Executor(place)
# 初始化执行器
print('star')
exe.run(fluid.default_startup_program()) #运行到这就开始不往下运行了，也不报错