/home/zxl/mywork/MANA-AI/smoke_mono_3d/smoke/csrc/cuda/dcn_v2_cuda.cu(127):
error: identifier "THCudaBlas_SgemmBatched" is undefined
/home/zxl/mywork/MANA-AI/smoke_mono_3d/smoke/csrc/cuda/dcn_v2_cuda.cu(275): error: identifier "THCudaBlas_Sgemm" is undefined
/home/zxl/mywork/MANA-AI/smoke_mono_3d/smoke/csrc/cuda/dcn_v2_cuda.cu(329): error: identifier "THCudaBlas_Sgemv" is undefined
3 errors detected in the compilation of "/home/zxl/mywork/MANA-AI/smoke_mono_3d/smoke/csrc/cuda/dcn_v2_cuda.cu".
error: command '/usr/local/cuda-11.1/bin/nvcc' failed with exit status 1
The following methods are found online
git clone https://github.com/jinfagang/DCNv2_latest.git
cd DCNv2_latest
python setup.py build develop
CUDA 11.1 + PyTorch 1.8.1 or 1.9.0 can build successfully, but execute the test program
What puzzled me most was that the following instructions were run successfully in all three environments
(py38torch171-smoke) zxl@R9000P:~/mywork/MANA-AI/DCNv2_latest$ python
Python 3.8.10 (default, Jun 4 2021, 15:09:15)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.__version__
'1.7.1'
>>> torch.cuda.is_available()
True
>>>
(py38torch181-smoke) zxl@R9000P:~/mywork/MANA-AI/DCNv2_la00m$ python
Python 3.8.10 (default, Jun 4 2021, 15:09:15)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.__version__
'1.8.1+cu111'
>>> torch.cuda.is_available()
True
>>>
(py38torch190-smoke) zxl@R9000P:~/mywork/MANA-AI/DCNv2_latest$ python
Python 3.8.10 (default, Jun 4 2021, 15:09:15)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.__version__
'1.9.0+cu111'
>>> torch.cuda.is_available()
True
>>>
I've been researching all day but have no success. Can you configure the environment on the RTX30 series graphics card CUDA 11.1? Thanks a lot!
as i know smoke requirements Ubuntu 16.04 Python 3.7 Pytorch 1.3.1 CUDA 10.0
but my PC is RTX3070 GPU,only support cuda11.1 and more up version ,So I try to configure the environment as follows:
ubuntu18.04 python 3.8 pytorch1.8.1和1.9.0 CUDA11.1
Run under PyTorch 1.8.1 and 1.9.0 environments:
error as below
The following methods are found online
CUDA 11.1 + PyTorch 1.8.1 or 1.9.0 can build successfully, but execute the test program
error as below
What puzzled me most was that the following instructions were run successfully in all three environments
I've been researching all day but have no success. Can you configure the environment on the RTX30 series graphics card CUDA 11.1? Thanks a lot!