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tusen-ai / simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition
Apache License 2.0
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Segmentation fault: 11 #361

Open gopikrishnabs opened 2 years ago

gopikrishnabs commented 2 years ago

Describe the bug A clear and concise description of what the bug is.

On executing the below command I am facing segmentation fault and I know that there is the other issue similar to this but there is no conclusion or solution.

Using GPU device: with tf.device('/device:GPU:0'): !source activate simpledet && python detection_infer_speed.py --config config/faster_r50v1_fpn_1x.py --shape 800 1333

Without GPU device: !source activate simpledet && python detection_infer_speed.py --config config/faster_r50v1_fpn_1x.py --shape 800 1333

Error message: src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:97: Running performance tests to find the best convolution algorithm, this can take a while... (set the environment variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) 102.16482162475586
Segmentation fault: 11

Which config are you using

I have followed the installation steps and I have also tried install with multiple versions of Mxnet but still no result only the one specified in installation fits I guess and it is giving the above error.

Hardware info I am using Google colab (Pro version) with 32GB ram and GPU enabled device CPU, GPU, Storage(Disk or NFS)

Software info Nvidia P-100 series GPU and CUDA version 11.2 (but I have installed 10.1 still when I check using nvcc command it shows 11.1 anyway that's not an issue I guess as of now)

OS: Ubantu 18.04

How did you set up your MXNet for SimpleDet

I downloaded mxnet using below command: !source activate simpledet && pip install https://1dv.aflat.top/mxnet_cu101-1.6.0b20191214-py2.py3-none-manylinux1_x86_64.whl

Additional context I am trying to resolve this issue from long time any help would be appreciated.

TakeCrown commented 2 years ago

hi bro，did you resolve this problem？