No module named 'torch_scatter.scatter_cuda'

[00GitHub]

Hello, I recently encountered a tricky problem.When I use "import tortch_scatter" using ubuntu terminal,the error "No module named 'torch_scatter.scatter_cuda' " appeared.This problem has been solved for a long time but have no result.

Please help me ,thank you very much.

[rusty1s]

This indicates a failed installation of torch-scatter. Please show me the installation log.

[rusty1s]

Alternatively, try to import torch first.

[loganyan]

        ]
D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(49): warning C4251: 'torch::optim::LBFGS::al': class 'std::vector<at::Tensor,std

::allocator<_Ty>>' needs to have dll-interface to be used by clients of class 'torch::optim::LBFGS' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/TensorBody.h(472): note: see declaration of 'std::vector<at::Tensor,std::allocator<_Ty>>' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(50): warning C4251: 'torch::optim::LBFGS::old_dirs': class 'std::deque<at::Tenso r,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of class 'torch::optim::LBFGS' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(50): note: see declaration of 'std::deque<at::Tensor,std::allocator<_Ty>>' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(51): warning C4251: 'torch::optim::LBFGS::old_stps': class 'std::deque<at::Tenso r,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of class 'torch::optim::LBFGS' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(50): note: see declaration of 'std::deque<at::Tensor,std::allocator<_Ty>>' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(34): warning C4275: non dll-interface class 'torch::optim::Optimizer' used as base for dll-interface class 'torch::optim::RMSprop' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: see declaration of 'torch::optim::Optimizer' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(34): note: see declaration of 'torch::optim::RMSprop' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(50): warning C4251: 'torch::optim::RMSprop::square_average_buffers': class 'st d::vector<at::Tensor,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of class 'torch::optim::RMSprop' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/TensorBody.h(472): note: see declaration of 'std::vector<at::Tensor,std::allocator<_Ty>>' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(51): warning C4251: 'torch::optim::RMSprop::momentum_buffers': class 'std::vec tor<at::Tensor,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of class 'torch::optim::RMSprop' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/TensorBody.h(472): note: see declaration of 'std::vector<at::Tensor,std::allocator<_Ty>>' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(52): warning C4251: 'torch::optim::RMSprop::grad_average_buffers': class 'std: :vector<at::Tensor,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of class 'torch::optim::RMSprop' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/TensorBody.h(472): note: see declaration of 'std::vector<at::Tensor,std::allocator<_Ty>>' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(31): warning C4275: non dll-interface class 'torch::optim::Optimizer' used as base for dll-interface class 'torch::optim::SGD' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: see declaration of 'torch::optim::Optimizer' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(31): note: see declaration of 'torch::optim::SGD' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(46): warning C4251: 'torch::optim::SGD::momentum_buffers': class 'std::vector<at:: Tensor,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of class 'torch::optim::SGD' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/TensorBody.h(472): note: see declaration of 'std::vector<at::Tensor,std::allocator<_Ty>>' with [ _Ty=at::Tensor ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/record_function.h(25): warning C4251: 'torch::autograd::profiler::StringView::owned_strptr': class 's td::shared_ptr' needs to have dll-interface to be used by clients of struct 'torch::autograd::profiler::StringView' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/record_function.h(25): note: see declaration of 'std::shared_ptr' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/recordfunction.h(90): warning C4251: 'torch::autograd::profiler::RecordFunction::inputs': class 'std: :vector<StorageT,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of struct 'torch::autograd::profiler::RecordFunction' with [ StorageT=c10::IValue, _Ty=c10::IValue ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/List.h(24): note: see declaration of 'std::vector<StorageT,std::allocator<_Ty>>' with [ StorageT=c10::IValue, Ty=c10::IValue ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/profiler.h(169): warning C4251: 'torch::autograd::profiler::Event::shapes': class 'std::vector<std::ve ctor<int64_t,std::allocator<_Ty>>,std::allocator<std::vector<_Ty,std::allocator<_Ty>>>>' needs to have dll-interface to be used by clients of struct 'torch::autograd::profiler::Event' with [ _Ty=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/WrapDimUtils.h(25): note: see declaration of 'std::vector<std::vector<int64_t,std::allocator<_Ty>>,std::allocator<std: :vector<_Ty,std::allocator<_Ty>>>>' with [ _Ty=int64t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/profiler.h(245): warning C4251: 'torch::autograd::profiler::RecordProfile::file': class 'std::unique_p tr<std::ofstream,std::default_delete<_Ty>>' needs to have dll-interface to be used by clients of struct 'torch::autograd::profiler::RecordProfile' with [ _Ty=std::ofstream ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/profiler.h(245): note: see declaration of 'std::unique_ptr<std::ofstream,std::default_delete<_Ty>>' with [ _Ty=std::ofstream ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/saved_variable.h(46): warning C4251: 'torch::autograd::SavedVariable::gradfn': class 'std::shared_ptr

' needs to have dll-interface to be used by clients of class 'torch::autograd::SavedVariable' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/edge.h(17): note: see declaration of 'std::shared_ptr' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/saved_variable.h(49): warning C4251: 'torch::autograd::SavedVariable::weak_grad_fn_': class 'std::weak_ ptr' needs to have dll-interface to be used by clients of class 'torch::autograd::SavedVariable' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(186): note: see declaration of 'std::weak_ptr' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/saved_variable.h(50): warning C4251: 'torch::autograd::SavedVariable::grad_accumulator_': class 'std::w eak_ptr' needs to have dll-interface to be used by clients of class 'torch::autograd::SavedVariable' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(186): note: see declaration of 'std::weak_ptr' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(88): warning C4251: 'std::enable_shared_from_this::_Wptr': class 'std ::weak_ptr' needs to have dll-interface to be used by clients of class 'std::enable_shared_from_this' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(186): note: see declaration of 'std::weak_ptr' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(353): warning C4251: 'torch::autograd::Node::next_edges_': class 'std::vector>' needs to have dll-interface to be used by clients of struct 'torch::autograd::Node' with [ _Ty=torch::autograd::Edge ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(33): note: see declaration of 'std::vector>' with [ _Ty=torch::autograd::Edge ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(355): warning C4251: 'torch::autograd::Node::anomaly_metadata_': class 'std::unique_ptr>' needs to have dll-interface to be used by clients of struct 'torch::autograd::Node' with [ _Ty=torch::autograd::AnomalyMetadata ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(355): note: see declaration of 'std::unique_ptr>' with [ _Ty=torch::autograd::AnomalyMetadata ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(356): warning C4251: 'torch::autograd::Node::pre_hooks_': class 'std::vector>,std::allocator>>>' needs to have dll-interface to be used by clients of struct ' torch::autograd::Node' with [ _Ty=torch::autograd::FunctionPreHook ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(298): note: see declaration of 'std::vector>,std::allocator>>>' with [ _Ty=torch::autograd::FunctionPreHook ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(357): warning C4251: 'torch::autograd::Node::post_hooks_': class 'std::vector>,std::allocator>>>' needs to have dll-interface to be used by clients of struct 'torch::autograd::Node' with [ _Ty=torch::autograd::FunctionPostHook ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(274): note: see declaration of 'std::vector>,std::allocator>>>' with [ _Ty=torch::autograd::FunctionPostHook ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(358): warning C4251: 'torch::autograd::Node::input_metadata_': class 'c10::SmallVector' needs to have dll-interface to be used by clients of struct 'torch::autograd::Node' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(358): note: see declaration of 'c10::SmallVector' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(143): warning C4267: 'initializing': conversion from 'size_t' to 'uint32_t', possible loss o f data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(149): warning C4267: 'initializing': conversion from 'size_t' to 'uint32_t', possible loss o f data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(156): warning C4267: 'initializing': conversion from 'size_t' to 'uint32_t', possible loss o f data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(162): warning C4267: 'return': conversion from 'size_t' to 'uint32_t', possible loss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(217): warning C4267: 'return': conversion from 'size_t' to 'uint32_t', possible loss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(84): warning C4251: 'torch::autograd::AutogradContext::saved_data': class 'ska::flat_ hash_map,std::equal_to<_Kty>,std::allocator>>' needs to have dll-interface to be used by clients of struct 'torch::autograd::Autog radContext' with [ _Kty=std::string, K=std::string, V=c10::IValue ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(84): note: see declaration of 'ska::flat_hash_map,std::equal_to<_Kty>,std::allocator>>' with [ _Kty=std::string, K=std::string, V=c10::IValue ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(105): warning C4251: 'torch::autograd::AutogradContext::non_differentiable_': class ' std::unordered_set,std::equal_to<_Kty>,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of struct 'torch::autograd: :AutogradContext' with [ _Kty=c10::TensorImpl *, _Ty=c10::TensorImpl * ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(13): note: see declaration of 'std::unordered_set,std::equal_to<_Kty>,std::allocator<_Ty>>' with [ _Kty=c10::TensorImpl *, _Ty=c10::TensorImpl * ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(106): warning C4251: 'torch::autograd::AutogradContext::dirty_inputs_': class 'std::u nordered_set,std::equal_to<_Kty>,std::allocator<_Ty>>' needs to have dll-interface to be used by clients of struct 'torch::autograd::Autog radContext' with [ _Kty=c10::TensorImpl *, _Ty=c10::TensorImpl * ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(13): note: see declaration of 'std::unordered_set,std::equal_to<_Kty>,std::allocator<_Ty>>' with [ _Kty=c10::TensorImpl *, _Ty=c10::TensorImpl * ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(107): warning C4251: 'torch::autograd::AutogradContext::saved_variables_': class 'std ::vector>' needs to have dll-interface to be used by clients of struct 'torch::autograd::AutogradContext' with [ _Ty=torch::autograd::SavedVariable ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function.h(34): note: see declaration of 'std::vector>' with [ _Ty=torch::autograd::SavedVariable ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(108): warning C4251: 'torch::autograd::AutogradContext::to_save_': class 'std::vector >' needs to have dll-interface to be used by clients of struct 'torch::autograd::AutogradContext' with [ _Ty=torch::autograd::Variable ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/function_hook.h(11): note: see declaration of 'std::vector>' with [ _Ty=torch::autograd::Variable ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(113): warning C4251: 'torch::autograd::AutogradContext::grad_fn_': class 'std::weak_p tr' needs to have dll-interface to be used by clients of struct 'torch::autograd::AutogradContext' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(186): note: see declaration of 'std::weak_ptr' D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\torch/csrc/autograd/custom_function.h(129): warning C4251: 'torch::autograd::VariableInfo::size': class 'std::vector>' needs to have dll-interface to be used by clients of struct 'torch::autograd::VariableInfo' with [ _Ty=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/MemoryFormat.h(44): note: see declaration of 'std::vector>' with [ _Ty=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/StringUtil.h(57): warning C4267: 'initializing': conversion from 'size_t' to 'int', possible loss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/qualified_name.h(111): note: see reference to function template instantiation 'std::string c10::Join>>(const std::string &,const Container &)' being compiled with [ _Ty=std::string, Container=std::vector> ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Optional.h(430): warning C4267: 'argument': conversion from 'size_t' to 'int', possible loss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/function_schema.h(225): note: see reference to function template instantiation 'c10::optional::optional< std::size_t,false>(U &&)' being compiled with [ U=std::size_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\ATen/core/function_schema.h(225): note: see reference to function template instantiation 'c10::optional::optional< std::size_t,false>(U &&)' being compiled with [ U=std::size_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(451): warning C4018: '>': signed/unsigned mismatch D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(497): note: see reference to function template instantiation 'bool c10::overflows(From)' being com piled with [ To=int64_t, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert(Fro m,const char *)' being compiled with [ To=int64_t, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: 'argument': conversion from 'int64_t' to 'float', possible loss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(399): note: while compiling class template member function 'c10::BFloat16 c10::Converter::ope rator ()(From)' with [ To=c10::BFloat16, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'c10::BFloat16 c10::Converter::o perator ()(From)' being compiled with [ To=c10::BFloat16, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=c10::BFloat16, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=c10::BFloat16, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert(From,const char *)' being compiled with [ To=c10::BFloat16, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(416): warning C4244: 'argument': conversion from 'double' to 'float', possible loss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(415): note: while compiling class template member function 'c10::BFloat16 c10::Converter::ope rator ()(std::complex)' with [ To=c10::BFloat16, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'c10::BFloat16 c10::Converter::o perator ()(std::complex)' being compiled with [ To=c10::BFloat16, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=c10::BFloat16, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=c10::BFloat16, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert>(From,const char *)' being compiled with [ To=c10::BFloat16, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: 'argument': conversion from 'double' to 'float', possible loss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(399): note: while compiling class template member function 'c10::BFloat16 c10::Converter::ope rator ()(From)' with [ To=c10::BFloat16, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'c10::BFloat16 c10::Converter::o perator ()(From)' being compiled with [ To=c10::BFloat16, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=c10::BFloat16, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=c10::BFloat16, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert(From,const char *)' being compiled with [ To=c10::BFloat16, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(400): warning C4800: 'int64_t': forcing value to bool 'true' or 'false' (performance warning) D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(399): note: while compiling class template member function 'bool c10::Converter::operator ()( From)' with [ To=bool, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'bool c10::Converter::operator ( )(From)' being compiled with [ To=bool, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=bool, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=bool, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert(From,c onst char *)' being compiled with [ To=bool, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(416): warning C4800: 'double': forcing value to bool 'true' or 'false' (performance warning) D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(415): note: while compiling class template member function 'bool c10::Converter::operator ()( std::complex)' with [ To=bool, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'bool c10::Converter::operator ( )(std::complex)' being compiled with [ To=bool, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=bool, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=bool, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert>(From,const char *)' being compiled with [ To=bool, From=std::complex ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(400): warning C4800: 'double': forcing value to bool 'true' or 'false' (performance warning) D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(399): note: while compiling class template member function 'bool c10::Converter::operator ()( From)' with [ To=bool, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'bool c10::Converter::operator ( )(From)' being compiled with [ To=bool, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=bool, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=bool, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert(From,co nst char *)' being compiled with [ To=bool, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: 'argument': conversion from 'int64_t' to 'const std::complex::_Ty', possible l oss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(399): note: while compiling class template member function 'std::complex c10::Converter::operator ()(From)' with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'std::complex c10::Converter::operator ()(From)' being compiled with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert ,int64_t>(From,const char *)' being compiled with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: 'argument': conversion from 'int64_t' to 'const std::complex::_Ty', possible lo ss of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(399): note: while compiling class template member function 'std::complex c10::Converter::operator ()(From)' with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'std::complex c10::Converter::operator ()(From)' being compiled with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert, int64_t>(From,const char *)' being compiled with [ To=std::complex, From=int64_t ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: 'argument': conversion from 'double' to 'const std::complex::_Ty', possible los s of data D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(399): note: while compiling class template member function 'std::complex c10::Converter::operator ()(From)' with [ To=std::complex, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to function template instantiation 'std::complex c10::Converter::operator ()(From)' being compiled with [ To=std::complex, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(406): note: see reference to class template instantiation 'c10::Converter' being compiled with [ To=std::complex, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/util/Half.h(503): note: see reference to function template instantiation 'To c10::convert(From)' being compile d with [ To=std::complex, From=double ] D:\Anaconda3\envs\pytorch\lib\site-packages\torch\include\c10/core/Scalar.h(72): note: see reference to function template instantiation 'To c10::checked_convert, double>(From,const char *)' being compiled with [ To=std::complex, From=double ] C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\Anaconda3\envs\pyto rch\lib\site-packages\torch\lib /LIBPATH:D:\Anaconda3\envs\pytorch\libs /LIBPATH:D:\Anaconda3\envs\pytorch\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC \LIB\amd64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.10240.0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\8.1\lib\winv6.3\um\x64" c10.lib torch.lib torch_pyt hon.lib _C.lib /EXPORT:PyInit_scatter_cpu build\temp.win-amd64-3.7\Release\cpu/scatter.obj /OUT:build\lib.win-amd64-3.7\torch_scatter\scatter_cpu.cp37-win_amd64.pyd /IMPLIB:build\temp.w in-amd64-3.7\Release\cpu\scatter_cpu.cp37-win_amd64.lib scatter.obj : warning LNK4197: export 'PyInit_scatter_cpu' specified multiple times; using first specification Creating library build\temp.win-amd64-3.7\Release\cpu\scatter_cpu.cp37-win_amd64.lib and object build\temp.win-amd64-3.7\Release\cpu\scatter_cpu.cp37-win_amd64.exp Generating code Finished generating code running install_lib copying build\lib.win-amd64-3.7\test\test_backward.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\test_broadcasting.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\test_forward.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\test_logsumexp.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\test_max_min.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\test_multi_gpu.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\test_std.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\utils.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test copying build\lib.win-amd64-3.7\test\__init__.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\test creating D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\add.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter creating D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\composite copying build\lib.win-amd64-3.7\torch_scatter\composite\softmax.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\composite copying build\lib.win-amd64-3.7\torch_scatter\composite\__init__.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\composite copying build\lib.win-amd64-3.7\torch_scatter\div.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\logsumexp.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\max.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\mean.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\min.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\mul.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\scatter_cpu.cp37-win_amd64.pyd -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\std.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter copying build\lib.win-amd64-3.7\torch_scatter\sub.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter creating D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\utils copying build\lib.win-amd64-3.7\torch_scatter\utils\ext.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\utils copying build\lib.win-amd64-3.7\torch_scatter\utils\gen.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\utils copying build\lib.win-amd64-3.7\torch_scatter\utils\__init__.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\utils copying build\lib.win-amd64-3.7\torch_scatter\__init__.py -> D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\test_backward.py to test_backward.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\test_broadcasting.py to test_broadcasting.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\test_forward.py to test_forward.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\test_logsumexp.py to test_logsumexp.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\test_max_min.py to test_max_min.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\test_multi_gpu.py to test_multi_gpu.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\test_std.py to test_std.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\utils.py to utils.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\test\__init__.py to __init__.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\add.py to add.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\composite\softmax.py to softmax.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\composite\__init__.py to __init__.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\div.py to div.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\logsumexp.py to logsumexp.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\max.py to max.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\mean.py to mean.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\min.py to min.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\mul.py to mul.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\std.py to std.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\sub.py to sub.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\utils\ext.py to ext.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\utils\gen.py to gen.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\utils\__init__.py to __init__.cpython-37.pyc byte-compiling D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter\__init__.py to __init__.cpython-37.pyc running install_egg_info running egg_info writing torch_scatter.egg-info\PKG-INFO writing dependency_links to torch_scatter.egg-info\dependency_links.txt writing top-level names to torch_scatter.egg-info\top_level.txt reading manifest file 'torch_scatter.egg-info\SOURCES.txt' reading manifest template 'MANIFEST.in' writing manifest file 'torch_scatter.egg-info\SOURCES.txt' Copying torch_scatter.egg-info to D:\Anaconda3\envs\pytorch\Lib\site-packages\torch_scatter-1.4.0-py3.7.egg-info running install_scripts writing list of installed files to 'C:\Users\yanlo\AppData\Local\Temp\pip-record-k9tuj500\install-record.txt' done Removing source in C:\Users\yanlo\AppData\Local\Temp\pip-install-xj9ejn1v\torch-scatter Successfully installed torch-scatter-1.4.0 Cleaning up... Removed build tracker 'C:\\Users\\yanlo\\AppData\\Local\\Temp\\pip-req-tracker-dou3e1gq' Config variable 'Py_DEBUG' is unset, Python ABI tag may be incorrect Config variable 'WITH_PYMALLOC' is unset, Python ABI tag may be incorrect 1 location(s) to search for versions of pip: * https://pypi.org/simple/pip/ Getting page https://pypi.org/simple/pip/ Starting new HTTPS connection (1): pypi.org:443 https://pypi.org:443 "GET /simple/pip/ HTTP/1.1" 200 12329 Analyzing links from page https://pypi.org/simple/pip/ Found link https://files.pythonhosted.org/packages/3d/9d/1e313763bdfb6a48977b65829c6ce2a43eaae29ea2f907c8bbef024a7219/pip-0.2.tar.gz#sha256=88bb8d029e1bf4acd0e04d300104b7440086f94cc1c e1c5c3c31e3293aee1f81 (from https://pypi.org/simple/pip/), version: 0.2 Found link https://files.pythonhosted.org/packages/18/ad/c0fe6cdfe1643a19ef027c7168572dac6283b80a384ddf21b75b921877da/pip-0.2.1.tar.gz#sha256=83522005c1266cc2de97e65072ff7554ac0f30ad3 69c3b02ff3a764b962048da (from https://pypi.org/simple/pip/), version: 0.2.1 Found link https://files.pythonhosted.org/packages/17/05/f66144ef69b436d07f8eeeb28b7f77137f80de4bf60349ec6f0f9509e801/pip-0.3.tar.gz#sha256=183c72455cb7f8860ac1376f8c4f14d7f545aeab8ee 7c22cd4caf79f35a2ed47 (from https://pypi.org/simple/pip/), version: 0.3 Found link https://files.pythonhosted.org/packages/0a/bb/d087c9a1415f8726e683791c0b2943c53f2b76e69f527f2e2b2e9f9e7b5c/pip-0.3.1.tar.gz#sha256=34ce534f17065c78f980702928e988a6b6b2d8a98 51aae5f1571a1feb9bb58d8 (from https://pypi.org/simple/pip/), version: 0.3.1 Found link https://files.pythonhosted.org/packages/cf/c3/153571aaac6cf999f4bb09c019b1ff379b7b599ea833813a41c784eec995/pip-0.4.tar.gz#sha256=28fc67558874f71fddda7168f73595f1650523dce3b c5bf189713ecdfc1e456e (from https://pypi.org/simple/pip/), version: 0.4 Found link 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https://files.pythonhosted.org/packages/ce/ea/9b445176a65ae4ba22dce1d93e4b5fe182f953df71a145f557cffaffc1bf/pip-19.3.1.tar.gz#sha256=21207d76c1031e517668898a6b46a9fb1501c7a4 710ef5dfd6a40ad9e6757ea7 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 19.3.1 (pytorch) D:\yanlonghao\ANN\pytorch_geometric-master\examples>python gat.py Traceback (most recent call last): File "gat.py", line 5, in from torch_geometric.datasets import Planetoid File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_geometric\__init__.py", line 3, in import torch_geometric.nn File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_geometric\nn\__init__.py", line 2, in from .data_parallel import DataParallel File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_geometric\nn\data_parallel.py", line 5, in from torch_geometric.data import Batch File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_geometric\data\__init__.py", line 1, in from .data import Data File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_geometric\data\data.py", line 7, in from torch_sparse import coalesce File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_sparse\__init__.py", line 2, in from .coalesce import coalesce File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_sparse\coalesce.py", line 2, in import torch_scatter File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_scatter\__init__.py", line 3, in from .mul import scatter_mul File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_scatter\mul.py", line 3, in from torch_scatter.utils.ext import get_func File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch_scatter\utils\ext.py", line 5, in import torch_scatter.scatter_cuda ModuleNotFoundError: No module named 'torch_scatter.scatter_cuda'

[wutaiqiang]

@loganyan 你的问题我也遇到了，应该是cuda，pytorch版本的问题，可以到readme里面打开作者给的.whl链接，具体可以查看https://zhuanlan.zhihu.com/p/106872864

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