pedro-abundio-wang opened a new issue #16527: ErrStr:no kernel image is available for execution on the device URL: https://github.com/apache/incubator-mxnet/issues/16527 Environment Info: I have install CUDA 10.0, and use mxnet-numpy download from offical support http://numpy.mxnet.io Runing the following code ,then i got the error info : ` x = np.ones((2, 3), ctx=npx.gpu()) x ` `MXNetError: [11:41:41] src/operator/contrib/./.././../common/../operator/mxnet_op.h:794: Check failed: err == cudaSuccess (48 vs. 0) : Name: mxnet_generic_kernel ErrStr:no kernel image is available for execution on the device Stack trace: [bt] (0) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x52f66b) [0x7f023876466b] [bt] (1) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x32ca2fc) [0x7f023b4ff2fc] [bt] (2) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x3bb1d64) [0x7f023bde6d64] [bt] (3) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::imperative::PushFCompute(std::function<void (nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&)> const&, nnvm::Op const*, nnvm::NodeAttrs const&, mxnet::Context const&, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::Resource, std::allocator<mxnet::Resource> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<unsigned int, std::allocator<unsigned int> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&)::{lambda(mxnet::RunContext)#1}::operator()(mxnet::RunContext) const+0x307) [0x7f023aa1f067] [bt] (4) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2735e14) [0x7f023a96ae14] [bt] (5) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x27437a9) [0x7f023a9787a9] [bt] (6) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2746c10) [0x7f023a97bc10] [bt] (7) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2746ea6) [0x7f023a97bea6] [bt] (8) /home/pedro/miniconda3/envs/d2l-numpy/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2741fb4) [0x7f023a976fb4]`
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
