using pytorch1.11, I still can not compile DCNv2 because of #include <ATen/ceil_div.h> about dcnv2_latest HOT 11 OPEN

Try to use the previous version. i.e. git checkout fa9b2fd
Please read the README carefully.

from dcnv2_latest.

try python3 setup.py build develop without sudo...

from dcnv2_latest.

try python3 setup.py build develop without sudo...

Thank you very much. I find when add sudo，the compiler use the default environment(python3.6) instead of python3.8 which I bulid for the project(python3.8)

from dcnv2_latest.

I do have the same error as @xiao-pengyou
fatal error: ATen/ceil_div.h: No such file or directory
In my case, I am using a conda environment developed with Pytorch LTS 1.8.2 and Cudatoolkit 11.1 Nvidia 3050Ti

try python3 setup.py build develop without sudo...

@Natsu-Akatsuki Tried this way, but still, the issue remains.

What exactly would be the bug causing this error?

from dcnv2_latest.

I do have the same error as @xiao-pengyou fatal error: ATen/ceil_div.h: No such file or directory In my case, I am using a conda environment developed with Pytorch LTS 1.8.2 and Cudatoolkit 11.1 Nvidia 3050Ti

try python3 setup.py build develop without sudo...

@Natsu-Akatsuki Tried this way, but still, the issue remains.

What exactly would be the bug causing this error?

However, DCnv2 got successfully compiled with Cudatoolkit 11.3 with PyTorch stable 1.11.0.

from dcnv2_latest.

What I mean is that the lateset version of DCNv2 only support pytorch 1.11.+.
On the other hand, when you use pytorch 1.8.2 you need to use previous version.

from dcnv2_latest.

What I mean is that the lateset version of DCNv2 only support pytorch 1.11.+. On the other hand, when you use pytorch 1.8.2 you need to use previous version.

You can find the latest DCNv2 in the issue ,which support Pytorch 1.12, or other version support 1.6, 1.7, 1.8.

from dcnv2_latest.

What I mean is that the lateset version of DCNv2 only support pytorch 1.11.+. On the other hand, when you use pytorch 1.8.2 you need to use previous version.

For the previous version of DCNv2, PyTorch 1.8.2 was not supported and supported only versions <=1.7.0.
The issue with that was, PyTorch 1.7.0 is not supported with Cudatoolkit 11.1 which is the oldest compatible version with CUDA SDK 8.6.
So as far as I understood the issue, conceptually the previous DCNv2 is no longer supported with newer GPU architectures.

from dcnv2_latest.

Just add #ifdef macro flags to check for the version of PyTorch before the ATen library include.

from dcnv2_latest.