Created by: yview-develop

训练命令： python tools/train.py -c configs/dcn/yolov3_r50vd_dcn.yml

错误日志： I0320 11:53:30.519765 24912 parallel_executor.cc:375] Garbage collection strategy is enabled, when FLAGS_eager_delete_tensor_gb = 0 /home/yview/work/.conda/envs/paddle/lib/python3.7/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 340, in main() File "tools/train.py", line 246, in main outs = exe.run(compiled_train_prog, fetch_list=train_values) File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/executor.py", line 783, in run six.reraise(*sys.exc_info()) File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/six.py", line 703, in reraise raise value File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/executor.py", line 778, in run use_program_cache=use_program_cache) File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/executor.py", line 843, in _run_impl return_numpy=return_numpy) File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/executor.py", line 677, in _run_parallel tensors = exe.run(fetch_var_names)._move_to_list() 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::operators::BatchNormKernel<paddle::platform::CUDADeviceContext, float>::Compute(paddle::framework::ExecutionContext const&) const 3 std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::BatchNormKernel<paddle::platform::CUDADeviceContext, float>, paddle::operators::BatchNormKernel<paddle::platform::CUDADeviceContext, double>, paddle::operators::BatchNormKernel<paddle::platform::CUDADeviceContext, paddle::platform::float16> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&) 4 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext*) const 5 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const 6 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&) 7 paddle::framework::details::ComputationOpHandle::RunImpl() 8 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOpSync(paddle::framework::details::OpHandleBase*) 9 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOp(paddle::framework::details::OpHandleBase*, std::shared_ptr<paddle::framework::BlockingQueue > const&, unsigned long*) 10 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::__future_base::_Result_base::_Deleter>, void> >::_M_invoke(std::_Any_data const&) 11 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&) 12 ThreadPool::ThreadPool(unsigned long)::{lambda()#1}::operator()() const

Python Call Stacks (More useful to users):

File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2525, in append_op attrs=kwargs.get("attrs", None)) File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op return self.main_program.current_block().append_op(*args, **kwargs) File "/home/yview/work/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/layers/nn.py", line 2663, in batch_norm type="batch_norm", inputs=inputs, outputs=outputs, attrs=attrs) File "/home/yview/work/ai/inside/baidu/PaddleDetection/ppdet/modeling/backbones/resnet.py", line 208, in _conv_norm use_global_stats=global_stats) File "/home/yview/work/ai/inside/baidu/PaddleDetection/ppdet/modeling/backbones/resnet.py", line 407, in c1_stage name=_name) File "/home/yview/work/ai/inside/baidu/PaddleDetection/ppdet/modeling/backbones/resnet.py", line 428, in call res = self.c1_stage(res) File "/home/yview/work/ai/inside/baidu/PaddleDetection/ppdet/modeling/architectures/yolov3.py", line 56, in build body_feats = self.backbone(im) File "/home/yview/work/ai/inside/baidu/PaddleDetection/ppdet/modeling/architectures/yolov3.py", line 80, in train return self.build(feed_vars, mode='train') File "tools/train.py", line 128, in main train_fetches = model.train(feed_vars) File "tools/train.py", line 340, in main()

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 [Hint: CUDNN_STATUS_BAD_PARAM] at (/paddle/paddle/fluid/operators/batch_norm_op.cu:287) [operator < batch_norm > error]

对比：使用如下命令训练时没有报告错误 python tools/train.py -c configs/faster_rcnn_r50_1x.yml