JONGGON opened a new issue #16752: Gluon hybridize is not perfect. URL: https://github.com/apache/incubator-mxnet/issues/16752 ## Description (A clear and concise description of what the bug is.) I am implementing yolov3. If hybridize is not active, no problem will occur. When active, the following error is generated: not one output from hybrid_block If you output multiple results, The backward operation doesn't seem to find the right address. ### Error Message Traceback (most recent call last): File "/home/jg/Downloads/GLUON-Detector/Yolov3_Detector/main.py", line 154, in <module> plot_class_thresh=plot_class_thresh) File "/home/jg/Downloads/GLUON-Detector/Yolov3_Detector/train.py", line 353, in run autograd.backward(total_loss) File "/home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/autograd.py", line 267, in backward ctypes.c_void_p(0))) File "/home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/base.py", line 253, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: Error in operator node_0_backward: [01:34:41] src/imperative/./imperative_utils.h:753: Check failed: g.GetAttr<size_t>("storage_type_num_unknown_nodes") == 0U (6 vs. 0) : Stack trace: [bt] (0) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x4b09db) [0x7f8c50b709db] [bt] (1) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x263d4d7) [0x7f8c52cfd4d7] [bt] (2) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x263e52f) [0x7f8c52cfe52f] [bt] (3) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2618805) [0x7f8c52cd8805] [bt] (4) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2619730) [0x7f8c52cd9730] [bt] (5) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x261d2a5) [0x7f8c52cdd2a5] [bt] (6) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x263d5ef) [0x7f8c52cfd5ef] [bt] (7) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::Imperative::Backward(std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, bool, bool, bool)+0x326c) [0x7f8c52d3361c] [bt] (8) /home/jg/anaconda3/envs/mxnetcuda/lib/python3.6/site-packages/mxnet/libmxnet.so(MXAutogradBackwardEx+0x573) [0x7f8c52c23043] ## To Reproduce (If you developed your own code, please provide a short script that reproduces the error. For existing examples, please provide link.) ### Steps to reproduce (Paste the commands you ran that produced the error.) 1. 2. ## What have you tried to solve it? 1. 2. ## Environment We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below: ``` curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python # paste outputs here ```
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