复现信息:如为报错,请给出复现环境、复现步骤
复现代码:
import paddle
import paddle.fluid as fluid
place = fluid.CPUPlace()
main = fluid.Program()
with fluid.program_guard(main):
x = fluid.data(name='x', shape=[None, 13], dtype='float64')
y = fluid.data(name='y', shape=[None, 1], dtype='float64')
y_predict = fluid.layers.fc(input=x, size=1, act=None)
cost = fluid.layers.square_error_cost(input=y_predict, label=y)
avg_cost = fluid.layers.mean(cost)
adam_optimizer = fluid.optimizer.AdamOptimizer(0.01)
adam_optimizer.minimize(avg_cost)
fetch_list = [avg_cost]
train_reader = paddle.batch(
paddle.dataset.uci_housing.train(), batch_size=1)
feeder = fluid.DataFeeder(place=place, feed_list=[x, y])
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
for data in train_reader():
exe.run(main, feed=feeder.feed(data), fetch_list=fetch_list)
版本、环境信息:
1)PaddlePaddle版本:1.6.1
2)CPU:CPU
3)GPU:无
4)系统环境:Ubuntu16.04,python2.7.15
复现信息:如为报错,请给出复现环境、复现步骤
复现代码:
报错信息:
x, y输入类型改为float32不报错。
x = fluid.data(name='x', shape=[None, 13], dtype='float32')
y = fluid.data(name='y', shape=[None, 1], dtype='float32')