running question

[gden138]

请问一下，这个错误怎么解决？是我的mxnet没有安装好吗？第一次用mxnet，查资料也没解决，请大神帮忙。谢谢。
Traceback (most recent call last):
File "/home/cy/pycharm-community-2019.1/helpers/pydev/pydevd.py", line 1741, in
main()
File "/home/cy/pycharm-community-2019.1/helpers/pydev/pydevd.py", line 1735, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "/home/cy/pycharm-community-2019.1/helpers/pydev/pydevd.py", line 1135, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "/home/cy/pycharm-community-2019.1/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/cy/PycharmProjects/ResidualAttentionNetwork-master/train_cifar.py", line 160, in
net.initialize(init=mx.init.MSRAPrelu(), ctx=ctx) #ctx=1
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/gluon/block.py", line 502, in initialize
self.collect_params().initialize(init, ctx, verbose, force_reinit)
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/gluon/parameter.py", line 813, in initialize
v.initialize(None, ctx, init, force_reinit=force_reinit)
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/gluon/parameter.py", line 391, in initialize
self._finish_deferred_init()
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/gluon/parameter.py", line 285, in _finish_deferred_init
self._init_impl(data, ctx)
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/gluon/parameter.py", line 297, in _init_impl
self._data = [data.copyto(ctx) for ctx in self._ctx_list]
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/gluon/parameter.py", line 297, in
self._data = [data.copyto(ctx) for ctx in self._ctx_list]
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/ndarray/ndarray.py", line 2077, in copyto
return _internal._copyto(self, out=hret)
File "", line 25, in _copyto
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke
ctypes.byref(out_stypes)))
File "/home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/base.py", line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [11:06:56] src/ndarray/ndarray.cc:1279: GPU is not enabled

Stack trace returned 10 entries:
[bt] (0) /home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x21d8d4) [0x7fd8e83998d4]
[bt] (1) /home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x21dcb1) [0x7fd8e8399cb1]
[bt] (2) /home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::CopyFromTo(mxnet::NDArray const&, mxnet::NDArray const&, int, bool)+0x723) [0x7fd8eaec6f23]
[bt] (3) /home/cy/anaconda3/envs/mxnet/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&)::{lambda(mxnet::RunContext)#1}::operator()(mxnet::RunContext) const+0x110) [0x7fd8ead6d8c0]
[bt] (4) /home/cy/anaconda3/envs/mxnet/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&)+0x3ca) [0x7fd8ead78b7a]
[bt] (5) /home/cy/anaconda3/envs/mxnet/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) [0x7fd8ead7e5c9]
[bt] (6) /home/cy/anaconda3/envs/mxnet/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) [0x7fd8ead7ee4c]
[bt] (7) /home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x2b0ec09) [0x7fd8eac8ac09]
[bt] (8) /home/cy/anaconda3/envs/mxnet/lib/python3.5/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x6f) [0x7fd8eac8b1ff]
[bt] (9) /home/cy/anaconda3/envs/mxnet/lib/python3.5/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7fd94b496ec0]

Process finished with exit code 1