Tengine-Convert-Tools
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Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.
这个结果是来自https://github.com/OAID/Tengine-Convert-Tools转换的 模型地址:链接: https://pan.baidu.com/s/1ZE6uKQANCYF-0LUZdB9Ugg 提取码: 3z8p 另外有一个问题是,我的模型已经固定了输入为1X4X768,但是pointnet的输入点云个数的不确定的,我能否用dynamic_asix的onnx模型,比如batch_sizeX4Xnum 的输入,转换为tmfile格式?
---- Tengine Convert Tool ---- Version : v1.0, 17:35:03 Jun 30 2021 Status : float32 These 3ops are not supported {REDUCE_MAX,EXP,SUM,} Create graph failed
转换onnx模型的时候出现段错误,请问怎么提交模型用于debug修复
Hi, I cloned the lastest version of the the Tengine-Convert-Tools from https://github.com/OAID/Tengine-Convert-Tools, the rebuild it successfully. Yet,error shows below.  Do you know what version of the covert code is...
cmake 3.21.2 libprotoc 3.17.3 ubuntu 16.04 32-bit [ 83%] Building CXX object tools/CMakeFiles/convert_tool.dir/caffe/caffe_serializer.cpp.o /home/user/tengine/Tengine-Convert-Tools/tools/caffe/caffe_serializer.cpp: In member function ‘bool TEngine::CaffeSingle::LoadBinaryFile(const char*, te_caffe::NetParameter&)’: /home/user/tengine/Tengine-Convert-Tools/tools/caffe/caffe_serializer.cpp:169:57: error: no matching function for call to ‘google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int,...
https://github.com/OAID/Tengine/issues/1046
转换yolov5s.onnx模型直接失败,segment fault, 是onnx的 slice 不支持吗? Tengine-Convert-Tools 版本master commit : 51ddcda yolov5s 模型来源https://github.com/ultralytics/yolov5.git ,采用yolov5s 权重 
add identity op
onnx转tengine发生段错误,web版本输出RuntimeError: memory access out of bounds 模型: onnx modelzoo里面的ultraface https://github.com/onnx/models/tree/master/vision/body_analysis/ultraface
