水果检测例子出错，可能是GPU问题？
Created by: nihuizhidao
你好！
我在一台GTX 1060的笔记本上，CUDA10.0，Ubuntu 16.04系统，跑水果检测的示例代码时，出现了以下错误：
2020-04-13 23:52:09,653-INFO: 60 samples in file dataset/fruit/val.txt 2020-04-13 23:52:09,653-INFO: places would be ommited when DataLoader is not iterable W0413 23:52:10.050293 14612 device_context.cc:237] Please NOTE: device: 0, CUDA Capability: 61, Driver API Version: 10.0, Runtime API Version: 10.0 W0413 23:52:10.052151 14612 device_context.cc:245] device: 0, cuDNN Version: 7.3. W0413 23:52:10.052163 14612 device_context.cc:271] WARNING: device: 0. The installed Paddle is compiled with CUDNN 7.6, but CUDNN version in your machine is 7.3, which may cause serious incompatible bug. Please recompile or reinstall Paddle with compatible CUDNN version. 2020-04-13 23:52:10,614-INFO: Found /home/tian/.cache/paddle/weights/yolov3_mobilenet_v1 2020-04-13 23:52:10,614-INFO: Loading parameters from /home/tian/.cache/paddle/weights/yolov3_mobilenet_v1... 2020-04-13 23:52:10,726-WARNING: /tmp/tmpsn_uyzkw/yolov3_mobilenet_v1.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-04-13 23:52:10,726-WARNING: /tmp/tmpsn_uyzkw/yolov3_mobilenet_v1.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-04-13 23:52:10,867-INFO: 240 samples in file dataset/fruit/train.txt 2020-04-13 23:52:13,102-INFO: places would be ommited when DataLoader is not iterable I0413 23:52:13.274853 14612 parallel_executor.cc:440] The Program will be executed on CUDA using ParallelExecutor, 1 cards are used, so 1 programs are executed in parallel. I0413 23:52:13.457108 14612 build_strategy.cc:365] SeqOnlyAllReduceOps:0, num_trainers:1 I0413 23:52:13.735011 14612 parallel_executor.cc:307] Inplace strategy is enabled, when build_strategy.enable_inplace = True I0413 23:52:13.776909 14612 parallel_executor.cc:375] Garbage collection strategy is enabled, when FLAGS_eager_delete_tensor_gb = 0 /home/tian/.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 326, in main() File "tools/train.py", line 236, in main outs = exe.run(compiled_train_prog, fetch_list=train_values) File "/home/tian/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/executor.py", line 783, in run six.reraise(*sys.exc_info()) File "/home/tian/.conda/envs/paddle/lib/python3.7/site-packages/six.py", line 703, in reraise raise value File "/home/tian/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/executor.py", line 778, in run use_program_cache=use_program_cache) File "/home/tian/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/executor.py", line 843, in _run_impl return_numpy=return_numpy) File "/home/tian/.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/tian/.conda/envs/paddle/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2525, in append_op attrs=kwargs.get("attrs", None)) File "/home/tian/.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/tian/.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/tian/projects/shennan/PaddleDetection/ppdet/modeling/backbones/mobilenet.py", line 98, in _conv_norm moving_variance_name=bn_name + '_variance') File "/home/tian/projects/shennan/PaddleDetection/ppdet/modeling/backbones/mobilenet.py", line 159, in call input, 3, int(32 * scale), 2, 1, name=self.prefix_name + "conv1") File "/home/tian/projects/shennan/PaddleDetection/ppdet/modeling/architectures/yolov3.py", line 61, in build body_feats = self.backbone(im) File "/home/tian/projects/shennan/PaddleDetection/ppdet/modeling/architectures/yolov3.py", line 156, in train return self.build(feed_vars, mode='train') File "tools/train.py", line 117, in main train_fetches = model.train(feed_vars) File "tools/train.py", line 326, 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]
我换了一台GTX 1080Ti，CUDA10.0, Ubuntu16.04的却可以正常运行，请问这个是那里出问题了呢？
谢谢！