kaivu1999 opened a new issue #15017: Issue in using nd.ones((3, 4), ctx=gpu()) , CUDA 10.1 URL: https://github.com/apache/incubator-mxnet/issues/15017 ## Description Not able to use ctx=gpu() in nd.ones() ## Environment info (Required) ``` nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Wed_Apr_24_19:10:27_PDT_2019 Cuda compilation tools, release 10.1, V10.1.168 ``` ``` x = nd.ones((3,4), ctx=gpu()) ``` This leads to the following error ``` [14:03:41] src/imperative/./imperative_utils.h:90: GPU support is disabled. Compile MXNet with USE_CUDA=1 to enable GPU support. Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/kaivalya/ntu/first/lib/python3.5/site-packages/mxnet/ndarray/ndarray.py", line 2421, in ones return _internal._ones(shape=shape, ctx=ctx, dtype=dtype, **kwargs) File "<string>", line 34, in _ones File "/home/kaivalya/ntu/first/lib/python3.5/site-packages/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke ctypes.byref(out_stypes))) File "/home/kaivalya/ntu/first/lib/python3.5/site-packages/mxnet/base.py", line 252, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [14:03:41] src/imperative/imperative.cc:79: Operator _ones is not implemented for GPU. Stack trace returned 10 entries: [bt] (0) /home/kaivalya/ntu/first/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x23d55a) [0x7f85c9fb755a] [bt] (1) /home/kaivalya/ntu/first/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x23dbc1) [0x7f85c9fb7bc1] [bt] (2) /home/kaivalya/ntu/first/lib/python3.5/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)+0x9fb) [0x7f85cc9a8abb] [bt] (3) /home/kaivalya/ntu/first/lib/python3.5/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) [0x7f85cc9a917c] [bt] (4) /home/kaivalya/ntu/first/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x2b34989) [0x7f85cc8ae989] [bt] (5) /home/kaivalya/ntu/first/lib/python3.5/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x6f) [0x7f85cc8aef7f] [bt] (6) /home/kaivalya/ntu/first/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call_unix64+0x4c) [0x7f85e5a6fe20] [bt] (7) /home/kaivalya/ntu/first/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call+0x2eb) [0x7f85e5a6f88b] [bt] (8) /home/kaivalya/ntu/first/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(_ctypes_callproc+0x49a) [0x7f85e5a6a01a] [bt] (9) /home/kaivalya/ntu/first/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(+0x9fcb) [0x7f85e5a5dfcb] ``` Package used (Python/R/Scala/Julia): (I'm using ...) autopep8==1.4.4 backcall==0.1.0 certifi==2019.3.9 chardet==3.0.4 cycler==0.10.0 decorator==4.4.0 graphviz==0.8.4 idna==2.8 ipykernel==5.1.1 ipython==7.5.0 ipython-genutils==0.2.0 jedi==0.13.3 jupyter-client==5.2.4 jupyter-core==4.4.0 kiwisolver==1.1.0 matplotlib==3.0.3 mxnet==1.4.1 mxnet-cu101==1.5.0b20190516 numpy==1.14.6 parso==0.4.0 pexpect==4.7.0 pickleshare==0.7.5 prompt-toolkit==2.0.9 ptyprocess==0.6.0 pycodestyle==2.5.0 Pygments==2.4.0 pyparsing==2.4.0 python-dateutil==2.8.0 pyzmq==18.0.1 requests==2.22.0 six==1.12.0 tornado==6.0.2 traitlets==4.3.2 urllib3==1.25.2 wcwidth==0.1.7 I am new to MXNet and CUDA can someone help me, please?
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