apivovarov opened a new issue #15151: SSD INT8 ARMv8 Operator _sg_mkldnn_conv is not registered URL: https://github.com/apache/incubator-mxnet/issues/15151 I tried to use quantized SSD model `ssd_512_mobilenet1.0_voc_int8` on ARMv8. Error: ``` Traceback (most recent call last): File "./run-gluoncv.py", line 11, in <module> net = model_zoo.get_model('ssd_512_mobilenet1.0_voc_int8', pretrained=True) File "/usr/local/lib/python3.5/dist-packages/gluoncv/model_zoo/model_zoo.py", line 231, in get_model net = _models[name](**kwargs) File "/usr/local/lib/python3.5/dist-packages/gluoncv/model_zoo/quantized/quantized.py", line 45, in func sym_net = SymbolBlock.imports(json_file, ['data'], None, ctx=ctx) File "/usr/local/lib/python3.5/dist-packages/mxnet/gluon/block.py", line 1018, in imports sym = symbol.load(symbol_file) File "/usr/local/lib/python3.5/dist-packages/mxnet/symbol/symbol.py", line 2728, in load check_call(_LIB.MXSymbolCreateFromFile(c_str(fname), ctypes.byref(handle))) File "/usr/local/lib/python3.5/dist-packages/mxnet/base.py", line 253, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: Failed loading Op quantized_sg_mkldnn_conv_bn_relu_0 of type _sg_mkldnn_conv: [21:05:05] ../3rdparty/tvm/nnvm/src/core/op.cc:74: Check failed: op != nullptr: Operator _sg_mkldnn_conv is not registered Stack trace: [bt] (0) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(nnvm::Op::Get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0x328) [0xffffa069d5d0] [bt] (1) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x232d29c) [0xffffa06e429c] [bt] (2) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(dmlc::JSONObjectReadHelper::ReadAllFields(dmlc::JSONReader*)+0xd0) [0xffffa06e8258] [bt] (3) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2329a48) [0xffffa06e0a48] [bt] (4) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x232aa80) [0xffffa06e1a80] [bt] (5) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(std::_Function_handler<nnvm::Graph (nnvm::Graph), nnvm::Graph (*)(nnvm::Graph)>::_M_invoke(std::_Any_data const&, nnvm::Graph&&)+0xcc) [0xffff9ed2efbc] [bt] (6) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(nnvm::ApplyPasses(nnvm::Graph, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&)+0x28c) [0xffffa06a0194] [bt] (7) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(mxnet::LoadLegacyJSONPass(nnvm::Graph)+0x44c) [0xffff9ed35294] [bt] (8) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(std::_Function_handler<nnvm::Graph (nnvm::Graph), nnvm::Graph (*)(nnvm::Graph)>::_M_invoke(std::_Any_data const&, nnvm::Graph&&)+0xcc) [0xffff9ed2efbc] ``` I built `libmxnet.so` on aarch64 cpu without MKL support incubator-mxnet version 134a3e8c (Jun 4): ``` cmake -GNinja \ -DUSE_CUDA=OFF \ -DUSE_MKL_IF_AVAILABLE=OFF \ -DCMAKE_BUILD_TYPE=Release \ -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache \ -DCMAKE_C_COMPILER_LAUNCHER=ccache \ -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ .. ninja -j16 ``` run inference script: ```
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