Closed visonpon closed 4 years ago
@visonpon , thank you very much for the feedback. Would you please provide the complete stack traces, and your model files if possible?
Above is the error message, thanks for your quick response.
@visonpon , it seems to be an internal error of MXNet. Would you please provide your model files and corresponding source code?
@linmajia Sorry that it's not convenient for me to upload the model and code, but I test my trained model on my current mxnet, and I also try to convert other simple mxnet models to TensorFlow, everything is normal. Only when I try to convert the new model, it fails.
@visonpon , you may try a different version of MXNet (e.g., 1.2.0).
Platform (like ubuntu 16.04/win10): ubuntu16.04 Python version: python3.6 Source framework with version (like Tensorflow 1.4.1 with GPU): tensorflow1.12 mxnet.1.12, Destination framework with version (like CNTK 2.3 with GPU):
Pre-trained model path (webpath or webdisk path):
Running scripts: python3 -m mmdnn.conversion._scripts.convertToIR -f mxnet -n ./.json -w ./.params -d net --inputShape 3,224,224
error messages like follows: segmentation fault :11 Stack trace returned 10 entries: [bt] (0) /home/csf/anaconda3/envs/tf18/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x31f81a) [0x7f03434c581a] .... Hope can get some help~
thanks~