Comments (5)
- you need to change batch size to 1 in config file because 1050ti only have 4gb memory.
- use gdb or pdb to find problem location, I can't find problem in my environment, please provide more information.
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Do you modify files in SparseConvNet? I think your problem may due to this. pretrained model doesn't support SparseConvNet master, you need to follow README.md to modify some line after you install SparseConvNet.
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That could be the issue.
Installing in a conda env I get the error.
g++ /tmp/tmp5yesv3u8.cc -o tmp5yesv3u8 -I/usr/include -L/usr/lib64 -lcudart /tmp/tmp5yesv3u8.cc:4:23: error: ‘::main’ must return ‘int’ void main(){ ^ g++ /tmp/tmpvyirytjp.cc -o tmpvyirytjp -I/usr/include -L/usr/lib64 -lcudart /tmp/tmpvyirytjp.cc:4:23: error: ‘::main’ must return ‘int’ void main(){ ^ Traceback (most recent call last): File "/home/code/second.pytorch/second/core/non_max_suppression/nms_cpu.py", line 10, in <module> from second.core.non_max_suppression.nms import ( ModuleNotFoundError: No module named 'second.core.non_max_suppression.nms'
Would you like me to create an installation script to replicate the install steps exactly? Might need to specify the pip versions as well.
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@swarmt g++ error should be a problem during finding cuda arch, see this.. I have change the code to int main()...
and fixed a serious bug, remember to update the code.
No, the install step only contains three step: 1) install dependencies. 2) install SparseConvNet. 3) prepare dataset.
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Excellent. I think we can call it fixed.
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