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questions-with-mxnet-learning's Issues
MXNetError: src/ndarray/ndarray.cc:1279: GPU is not enabled
Stack trace returned 10 entries:
[bt] (0) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x23d55a) [0x7fb16298b55a]
[bt] (1) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x23dbc1) [0x7fb16298bbc1]
[bt] (2) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::CopyFromTo(mxnet::NDArray const&, mxnet::NDArray const&, int, bool)+0x723) [0x7fb1654c1623]
[bt] (3) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::imperative::PushFComputeEx(std::function<void (nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray > const&, std::vector<mxnet::OpReqType, std::allocatormxnet::OpReqType > const&, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray > const&)> const&, nnvm::Op const*, nnvm::NodeAttrs const&, mxnet::Context const&, std::vector<mxnet::engine::Var*, std::allocatormxnet::engine::Var* > const&, std::vector<mxnet::engine::Var*, std::allocatormxnet::engine::Var* > const&, std::vector<mxnet::Resource, std::allocatormxnet::Resource > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::OpReqType, std::allocatormxnet::OpReqType > const&)+0x47e) [0x7fb16537759e]
[bt] (4) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::Imperative::InvokeOp(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::OpReqType, std::allocatormxnet::OpReqType > const&, mxnet::DispatchMode, mxnet::OpStatePtr)+0x839) [0x7fb16537c8f9]
[bt] (5) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::Imperative::Invoke(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&)+0x38c) [0x7fb16537d17c]
[bt] (6) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x2b34989) [0x7fb165282989]
[bt] (7) /home/leo/anaconda3/lib/python3.5/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x6f) [0x7fb165282f7f]
[bt] (8) /home/leo/anaconda3/lib/python3.5/lib-dynload/_ctypes.so(ffi_call_unix64+0x4c) [0x7fb18e292370]
[bt] (9) /home/leo/anaconda3/lib/python3.5/lib-dynload/_ctypes.so(ffi_call+0x1f5) [0x7fb18e291b15]
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