I cloned a project from github which is NVlabs/wetectron.
And I follow the instruction to set the environment.
The ninja version is 220.127.116.11
conda version is 4.4.10
I use the following commend to download pytorch:
conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch
so I got pytorch-1.11.0 and cuda-10.2
And then I clone the apex from nvidia, things still work pretty well now
and when I install the ninja with symbolic links
fatal error: THC/THC.h: No such file or directory
and another error is
I search in google but I didn’t found anything useful.
I am not sure about it was caused by version or I can just simply download the file and paste it somewhere
The TH/THC namespace is dead and apex also removed it already, so you should update apex to the latest version.
Really appreciate for your help, but I think the problem is not caused by apex. I removed the conda environment and clone the apex using
git clone GitHub - NVIDIA/apex: A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
and install it follow the commend as follow:
pip install -v --disable-pip-version-check --no-cache-dir --global-option="–cpp_ext" --global-option="–cuda_ext" ./
The error is still the same, but I found that, it is some csrc/cuda/***.cu file couldn’t find the THC, for example :SigmoidFocalLoss_cuda.cu deform_pool_cuda.cu ROIPool_cuda.cu. Maybe I can find a newer version of these function somewhere? Or any advice I can solve if.
I might have misunderstood the issue as I thought you are running into the building error in apex.
Based on the function names, it seems you are trying to build
maskrcnn_benchmark, which still uses the deprecated import here so you might either want to update it or skip its build.
Thank you for your help, I think I have solve the problem. It is caused by version of torch and cudatool. I reinstall pytorch for many times from 1.01 to 1.4 to 1.6 and the project can work now. Besides, I wonder why when I use conda commend to install pytorch and I get the cpu only version.
i am currently facing the same problem, can you tell me what version of cuda and pytorch you used so i could solve it ?
Hi there, I have the same issue with building the mmdetection. Could you tell me how can I update it?
Thank you so much
You could check which deprecated
TH(C) methods are currently used in the code base and migrate them to the new
ATen API. I would guess that the majority of actual function names should be equal but in a new namespace now (or without the
TH tag in their name).
Cuda verison is 10.2, pytorch version is 1.6.0. remember to use the pip install commend from official website to install pytorch.