venkat-kittu commented on issue #17231: cannot quantization example URL: https://github.com/apache/incubator-mxnet/issues/17231#issuecomment-596350249 I am also facing the same Issue, but I am getting the segmentation fault error while quantizing the network with calib-mode="entropy", but for calib-mode="naive" it worked fine. My mxnet version is 1.6.0, which I downloaded using pip as follows pip3 install mxnet-cu101mkl Below is the command I have executed and error I got **python imagenet_gen_qsym_mkldnn.py --model=vgg19 --num-calib-batches=782 --calib-mode=entropy** INFO:logger:Collecting layer sg_mkldnn_conv_act_12_output histogram of shape (32, 512, 14, 14) Segmentation fault: 11 Stack trace: [bt] (0) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41a8280) [0x7fec58aab280] [bt] (1) /lib/x86_64-linux-gnu/libc.so.6(+0x3ef20) [0x7fecb3e05f20] [bt] (2) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x3addaef) [0x7fec583e0aef] [bt] (3) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::NDArray::Reorder2Default() const+0x4fe) [0x7fec583e402e] [bt] (4) /opt/conda/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&)::{lambda(mxnet::RunContext)#1}::operator()(mxnet::RunContext) const+0x482) [0x7fec582795b2] [bt] (5) /opt/conda/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&)+0x463) [0x7fec58279c13] [bt] (6) /opt/conda/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)+0x481) [0x7fec5827b711] [bt] (7) /opt/conda/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&)+0x25b) [0x7fec5827be4b] [bt] (8) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x3839f1f) [0x7fec5813cf1f] Segmentation fault: 11 Stack trace: [bt] (0) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41a8280) [0x7fec58aab280] [bt] (1) /lib/x86_64-linux-gnu/libc.so.6(+0x3ef20) [0x7fecb3e05f20] [bt] (2) /opt/conda/lib/python3.6/site-packages/mxnet/libmkldnn.so.1(+0x232392) [0x7fecaf3b5392] [bt] (3) /opt/conda/lib/python3.6/site-packages/mxnet/libmkldnn.so.1(mkldnn_memory_create+0xc0) [0x7fecaf3b70e0] [bt] (4) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x70b13b) [0x7fec5500e13b] [bt] (5) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x3ac5770) [0x7fec583c8770] [bt] (6) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::NDArray::Chunk::SetMKLMem(mxnet::TShape const&, int)+0x2b4) [0x7fec583ccb84] [bt] (7) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::NDArray::GetMKLDNNData() const+0x70) [0x7fec583d1ae0] [bt] (8) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::op::SgMKLDNNConvOperator::Forward(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&)+0x1cb7) [0x7fec5523d147]
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
