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Opened 4月 17, 2020 by saxon_zh@saxon_zhGuest

An Unknown Error When Training YOLOV3 DARKNET with Fruit Dataset

Created by: p1n0cch10

I am using yolov3 darknet53 to finetuning the fruit data. The .yml file is modified according to yolov3_mobilenet_v1_fruit.yml and yolov3_darknet_fruit_test.yml.

I change the .yml to .txt in order to upload the file to the github post. yolov3_darknet_fruit_test.txt

After I execute

python -u tools/train.py -c configs/yolov3_darknet_fruit_test.yml -o use_fine_grained_loss=true --eval

an unknown error occurs. Could anyone help me with the error. Many thanks.

`2020-04-17 23:53:16,897-INFO: 60 samples in file dataset/fruit/val.txt 2020-04-17 23:53:16,898-INFO: places would be ommited when DataLoader is not iterable /home/alex/paddle-venv/lib/python3.6/site-packages/paddle/fluid/executor.py:782: UserWarning: The following exception is not an EOF exception. "The following exception is not an EOF exception.") Traceback (most recent call last): File "tools/train.py", line 331, in main() File "tools/train.py", line 172, in main exe.run(startup_prog) File "/home/alex/paddle-venv/lib/python3.6/site-packages/paddle/fluid/executor.py", line 783, in run six.reraise(*sys.exc_info()) File "/home/alex/paddle-venv/lib/python3.6/site-packages/six.py", line 703, in reraise raise value File "/home/alex/paddle-venv/lib/python3.6/site-packages/paddle/fluid/executor.py", line 778, in run use_program_cache=use_program_cache) File "/home/alex/paddle-venv/lib/python3.6/site-packages/paddle/fluid/executor.py", line 831, in _run_impl use_program_cache=use_program_cache) File "/home/alex/paddle-venv/lib/python3.6/site-packages/paddle/fluid/executor.py", line 905, in _run_program fetch_var_name) paddle.fluid.core_avx.EnforceNotMet:

C++ Call Stacks (More useful to developers):

0 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 2 paddle::platform::CUDADeviceContext::CUDADeviceContext(paddle::platform::CUDAPlace) 3 std::_Function_handler<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > (), std::reference_wrapper<std::_Bind_simple<paddle::platform::EmplaceDeviceContext<paddle::platform::CUDADeviceContext, paddle::platform::CUDAPlace>(std::map<paddle::platform::Place, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >, std::lesspaddle::platform::Place, std::allocator<std::pair<paddle::platform::Place const, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > > > > >, paddle::platform::Place)::{lambda()#1} ()> > >::_M_invoke(std::_Any_data const&) 4 std::_Function_handler<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> (), std::__future_base::_Task_setter<std::unique_ptr<std::__future_base::_Result<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >, std::__future_base::_Result_base::_Deleter>, std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > > >::_M_invoke(std::_Any_data const&) 5 std::__future_base::_State_base::_M_do_set(std::function<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> ()>&, bool&) 6 std::__future_base::_Deferred_state<std::_Bind_simple<paddle::platform::EmplaceDeviceContext<paddle::platform::CUDADeviceContext, paddle::platform::CUDAPlace>(std::map<paddle::platform::Place, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >, std::lesspaddle::platform::Place, std::allocator<std::pair<paddle::platform::Place const, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > > > > >, paddle::platform::Place)::{lambda()#1} ()>, std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >::_M_run_deferred() 7 paddle::platform::DeviceContextPool::Get(paddle::platform::Place const&) 8 paddle::framework::GarbageCollector::GarbageCollector(paddle::platform::Place const&, unsigned long) 9 paddle::framework::UnsafeFastGPUGarbageCollector::UnsafeFastGPUGarbageCollector(paddle::platform::CUDAPlace const&, unsigned long) 10 paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool) 11 paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, std::vector<std::string, std::allocatorstd::string > const&, bool, bool)

Error Message Summary:

Error: An error occurred here. There is no accurate error hint for this error yet. We are continuously in the process of increasing hint for this kind of error check. It would be helpful if you could inform us of how this conversion went by opening a github issue. And we will resolve it with high priority.

  • New issue link: https://github.com/PaddlePaddle/Paddle/issues/new
  • Recommended issue content: all error stack information: out of memory at (/paddle/paddle/fluid/platform/device_context.cc:221)`
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标识: paddlepaddle/PaddleDetection#528
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