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使用下载的权重,执行命令:CUDA_VISIBLE_DEVICES=2 python tools/infer/predict_system.py --image_dir="/DATA/fangzheng/PLP/Test/images" --det_model_dir="./inference/ch_ppocr_server_v1.1_det_infer/" --rec_model_dir="./inference/ch_ppocr_server_v1.1_rec_infer/" --cls_model_dir="./inference/ch_ppocr_mobile_v1.1_cls_infer/" --use_angle_cls=True --use_space_char=True报错,报错信息如下: paddle.fluid.core_avx.EnforceNotMet:
0 paddle::AnalysisPredictor::Run(std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor > const&, std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor >, int) 1 paddle::framework::NaiveExecutor::Run() 2 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&) 3 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const 4 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext) const 5 std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::FCOpKernel<paddle::platform::CUDADeviceContext, float>, paddle::operators::FCOpKernel<paddle::platform::CUDADeviceContext, double> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&) 6 paddle::operators::FCOpKernel<paddle::platform::CUDADeviceContext, float>::Compute(paddle::framework::ExecutionContext const&) const 7 paddle::operators::math::FCFunctor<paddle::platform::CUDADeviceContext, float>::operator()(paddle::platform::CUDADeviceContext const&, int, int, int, float const*, float const*, float*, float const*, bool, bool) 8 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 9 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int) 10 paddle::platform::GetCurrentTraceBackString()
ExternalError: Cublas error, CUBLAS_STATUS_EXECUTION_FAILED (at /paddle/paddle/fluid/operators/math/blas_impl.cu.h:34) [operator < fc > error]
本机测试环境:ubuntu16.0.4 CUDA10.1 卡2的显存还剩6000M,是显存不够吗?第一次用Paddle框架。
The text was updated successfully, but these errors were encountered:
麻烦使用cuda9.0或者cuda10.0吧,目前paddle和cuda10.1兼容性还不是很好
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使用下载的权重,执行命令:CUDA_VISIBLE_DEVICES=2 python tools/infer/predict_system.py --image_dir="/DATA/fangzheng/PLP/Test/images" --det_model_dir="./inference/ch_ppocr_server_v1.1_det_infer/" --rec_model_dir="./inference/ch_ppocr_server_v1.1_rec_infer/" --cls_model_dir="./inference/ch_ppocr_mobile_v1.1_cls_infer/" --use_angle_cls=True --use_space_char=True报错,报错信息如下:
paddle.fluid.core_avx.EnforceNotMet:
C++ Traceback (most recent call last):
0 paddle::AnalysisPredictor::Run(std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor > const&, std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor >, int)
1 paddle::framework::NaiveExecutor::Run()
2 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&)
3 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const
4 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext) const
5 std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::FCOpKernel<paddle::platform::CUDADeviceContext, float>, paddle::operators::FCOpKernel<paddle::platform::CUDADeviceContext, double> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&)
6 paddle::operators::FCOpKernel<paddle::platform::CUDADeviceContext, float>::Compute(paddle::framework::ExecutionContext const&) const
7 paddle::operators::math::FCFunctor<paddle::platform::CUDADeviceContext, float>::operator()(paddle::platform::CUDADeviceContext const&, int, int, int, float const*, float const*, float*, float const*, bool, bool)
8 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int)
9 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int)
10 paddle::platform::GetCurrentTraceBackString()
Error Message Summary:
ExternalError: Cublas error, CUBLAS_STATUS_EXECUTION_FAILED (at /paddle/paddle/fluid/operators/math/blas_impl.cu.h:34)
[operator < fc > error]
本机测试环境:ubuntu16.0.4 CUDA10.1 卡2的显存还剩6000M,是显存不够吗?第一次用Paddle框架。
The text was updated successfully, but these errors were encountered: