KellenSunderland opened a new pull request #13899: fix bug in profiler tutorial when using cpu URL: https://github.com/apache/incubator-mxnet/pull/13899 ## Description ## When using cpu only, it produces error because test_utils.list_gpus() always returns at least empty array, and do not goes to the exception and context will be set as gpu. So I used if else statement to get context properly and it works fine. For the reference below is the code of test_utils.py python/mxnet/test_utils.py ```python def list_gpus(): """Return a list of GPUs Returns ------- list of int: If there are n GPUs, then return a list [0,1,...,n-1]. Otherwise returns []. """ re = '' nvidia_smi = ['nvidia-smi', '/usr/bin/nvidia-smi', '/usr/local/nvidia/bin/nvidia-smi'] for cmd in nvidia_smi: try: re = subprocess.check_output([cmd, "-L"], universal_newlines=True) except (subprocess.CalledProcessError, OSError): pass return range(len([i for i in re.split('\n') if 'GPU' in i])) ``` and Error message run_training_iteration(*next(itr)) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "<stdin>", line 5, in run_training_iteration File "/home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/ndarray/ndarray.py", line 2135, in as_in_context return self.copyto(context) File "/home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/ndarray/ndarray.py", line 2084, in copyto return _internal._copyto(self, out=hret) File "<string>", line 25, in _copyto File "/home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke ctypes.byref(out_stypes))) File "/home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/base.py", line 252, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [03:59:09] src/ndarray/ndarray.cc:1270: GPU is not enabled Stack trace returned 10 entries: [bt] (0) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x21f5a4) [0x7fd2f7def5a4] [bt] (1) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x21f981) [0x7fd2f7def981] [bt] (2) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/libmxnet.so(mxnet::CopyFromTo(mxnet::NDArray const&, mxnet::NDArray const&, int, bool)+0x723) [0x7fd2fa8bc323] [bt] (3) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/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&)::{lambda(mxnet::RunContext)#1}::operator()(mxnet::RunContext) const+0x110) [0x7fd2fa763ba0] [bt] (4) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/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&)+0x3ca) [0x7fd2fa76ee5a] [bt] (5) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/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)+0x839) [0x7fd2fa7748a9] [bt] (6) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/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&)+0x38c) [0x7fd2fa77512c] [bt] (7) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2ab24f9) [0x7fd2fa6824f9] [bt] (8) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x6f) [0x7fd2fa682aef] [bt] (9) /home/ubuntu/anaconda3/envs/mxnet_p27/lib/python2.7/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7fd3097dcec0] ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [x] Changes are complete (i.e. I finished coding on this PR)
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