PistonY opened a new issue #14712: Conv3DTranspose not work in Ubuntu. URL: https://github.com/apache/incubator-mxnet/issues/14712 This is my code ```python import mxnet from mxnet import nd from mxnet.gluon import nn ab = nd.random.normal(shape=(1, 64, 16, 16, 16)) fra = nn.Conv3DTranspose(channels=128, kernel_size=3, padding=1) fra.initialize() print(fra(ab)) ``` But report a cudnn not exist bug, and I make sure my cudnn is installed, I also tried nvidia-docker (official) also not work too, ``` Traceback (most recent call last): File "/home/piston/PycharmProjects/iqiyi-cvic/match/test.py", line 11, in <module> print(fra(ab)) File "/home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/ndarray/ndarray.py", line 193, in __repr__ return '\n%s\n<%s %s @%s>' % (str(self.asnumpy()), File "/home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/ndarray/ndarray.py", line 1992, in asnumpy ctypes.c_size_t(data.size))) File "/home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/base.py", line 252, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [18:05:51] src/operator/nn/./deconvolution-inl.h:221: If not using CUDNN, only 1D or 2D Deconvolution is supported Stack trace returned 10 entries: [bt] (0) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x4271f2) [0x7fa8257401f2] [bt] (1) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x4277d8) [0x7fa8257407d8] [bt] (2) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x998492) [0x7fa825cb1492] [bt] (3) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x99fff9) [0x7fa825cb8ff9] [bt] (4) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::FallBackCompute(std::function<void (nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&)>, 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&)+0xb6a) [0x7fa825782f4a] [bt] (5) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x988b87) [0x7fa825ca1b87] [bt] (6) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(std::_Function_handler<void (mxnet::RunContext), 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}>::_M_invoke(std::_Any_data const&, mxnet::RunContext)+0x127) [0x7fa828552947] [bt] (7) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x319be3d) [0x7fa8284b4e3d] [bt] (8) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x31a7bfb) [0x7fa8284c0bfb] [bt] (9) /home/piston/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x31aad14) [0x7fa8284c3d14] ```
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