Created
June 6, 2019 18:17
-
-
Save Laurawly/4cfe15314b6380e4d7876afc00860b6c to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Traceback (most recent call last): | |
File "demo.py", line 19, in <module> | |
classifier = gcv.model_zoo.get_model('resnet50_v1d', pretrained=True, ctx=ctx) | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/gluoncv-0.5.0-py3.6.egg/gluoncv/model_zoo/model_zoo.py", line 241, in get_model | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/gluoncv-0.5.0-py3.6.egg/gluoncv/model_zoo/resnetv1b.py", line 629, in resnet50_v1d | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/gluon/block.py", line 402, in load_parameters | |
params[name]._load_init(loaded[name], ctx) | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/gluon/parameter.py", line 271, in _load_init | |
self._init_impl(data, ctx) | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/gluon/parameter.py", line 311, in _init_impl | |
self._data = [data.copyto(ctx) for ctx in self._ctx_list] | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/gluon/parameter.py", line 311, in <listcomp> | |
self._data = [data.copyto(ctx) for ctx in self._ctx_list] | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 2093, in copyto | |
return _internal._copyto(self, out=hret) | |
File "<string>", line 25, in _copyto | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke | |
ctypes.byref(out_stypes))) | |
File "/home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/base.py", line 253, in check_call | |
raise MXNetError(py_str(_LIB.MXGetLastError())) | |
mxnet.base.MXNetError: [11:16:04] src/ndarray/ndarray.cc:1280: GPU is not enabled | |
Stack trace: | |
[bt] (0) /home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x4c) [0x7f7a976d5c] | |
[bt] (1) /home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::CopyFromTo(mxnet::NDArray const&, mxnet::NDArray const&, int, bool)+0x550) [0x7f7bf6a9a0] | |
[bt] (2) /home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::imperative::PushFComputeEx(std::function<void (nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > 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<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&)+0x364) [0x7f7befc344] | |
[bt] (3) /home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::Imperative::InvokeOp(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, mxnet::DispatchMode, mxnet::OpStatePtr)+0x6d8) [0x7f7beed4d8] | |
[bt] (4) /home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::Imperative::Invoke(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&)+0x234) [0x7f7beedb54] | |
[bt] (5) /home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/libmxnet.so(MXImperativeInvokeImpl(void*, int, void**, int*, void***, int, char const**, char const**)+0x4e0) [0x7f7c472b90] | |
[bt] (6) /home/laurawly/workspace/install/lib/python3.6/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x1dc) [0x7f7c474414] | |
[bt] (7) /usr/lib/aarch64-linux-gnu/libffi.so.6(ffi_call_SYSV+0x64) [0x7f81f56d28] | |
[bt] (8) /usr/lib/aarch64-linux-gnu/libffi.so.6(ffi_call+0xc8) [0x7f81f57698] |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment