使用Fluid运行官方models中的rnn_search的模型，报错

原创于 2019-03-06 11:11:16 发布 · 694 阅读

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CC 4.0 BY-SA版权

本文介绍了一种常见的PaddlePaddle运行错误，即在尝试使用GPU运行rnn_search模型时出现的错误，并提供了详细的错误日志分析及解决方案。通常情况下，此错误由设备上未安装GPU引起，解决方案为切换到CPU进行运算。

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问题描述：使用Fluid运行官方models中的rnn_search的模型，报错
报错输出：

Traceback (most recent call last):
  File "train.py", line 173, in <module>
    train()
  File "train.py", line 103, in train
    exe.run(framework.default_startup_program())
  File "/Users/jizhi/anaconda3/envs/paddle/lib/python3.5/site-packages/paddle/fluid/executor.py", line 470, in run
    self.executor.run(program.desc, scope, 0, True, True)
paddle.fluid.core.EnforceNotMet: Cannot run operator on place CUDAPlace(0) at [/Users/paddle/minqiyang/Paddle/paddle/fluid/framework/operator.cc:146]
PaddlePaddle Call Stacks:
0          0x10d0eaa68p paddle::platform::EnforceNotMet::EnforceNotMet(std::exception_ptr, char const*, int) + 760
1          0x10df0f1f9p paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) + 761
2          0x10d1b83a6p paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool) + 390
3          0x10d1b7dd3p paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool) + 163
4          0x10d11e837p void pybind11::cpp_function::initialize<paddle::pybind::pybind11_init()::$_64, void, paddle::framework::Executor&, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, pybind11::name, pybind11::is_method, pybind11::sibling>(paddle::pybind::pybind11_init()::$_64&&, void (*)(paddle::framework::Executor&, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) + 135
5          0x10d0f53aap pybind11::cpp_function::dispatcher(_object*, _object*, _object*) + 5786
6          0x10038859fp PyCFunction_Call + 127
7          0x1004537e7p PyEval_EvalFrameEx + 33207
8          0x100449fafp _PyEval_EvalCodeWithName + 335
9          0x1004502a7p PyEval_EvalFrameEx + 19575
10         0x100449fafp _PyEval_EvalCodeWithName + 335
11         0x1004502a7p PyEval_EvalFrameEx + 19575
12         0x100449fafp _PyEval_EvalCodeWithName + 335
13         0x10049c758p PyRun_FileExFlags + 248
14         0x10049beeep PyRun_SimpleFileExFlags + 382
15         0x1004c0d86p Py_Main + 3622
16         0x100302861p main + 497
17      0x7fff5f4da015p start + 1
18                 0x2p