Closed yang963469904 closed 12 months ago
Hi @yang963469904,
it seems that you have several conda installations that interfere with each other: C:\Users\86133\CONDA~1 C:/Users/86133/.conda
I would suggest that you delete one of the two (by deleting the folders), then run in R:
library(reticulate)
reticulate::conda_remove("r-reticulate")
reticulate::conda_remove("r-sjSDM")
reticulate::conda_create(envname = "r-sjsdm", python_version = "3.9")
# CPU Version:
reticulate::conda_install(envname = "r-sjsdm",
packages =c("pytorch", "torchvision", "torchaudio", "cpuonly", "-c", "pytorch"))
# GPU Version:
reticulate::conda_install(envname = "r-sjsdm",
packages =c("pytorch", "torchvision", "torchaudio", "pytorch-cuda=11.7", "-c", "pytorch", "-c" ,"nvidia"))
reticulate::conda_install(envname = "r-sjsdm",
packages = c("pyro-ppl", "torch_optimizer", "madgrad", "tqdm"), pip = TRUE)
Restart Rstudio and load sjSDM.
Thank you for your reply. I currently only have one mini conda installed, and I tried to remove the path C:\Users\86133\CONDA~1, but I couldn't find it on the C drive. I'm wondering if the reason why the previously installed Conda was not completely removed? But I can't find a solution at the moment.
The path I saw in Python is
import torch print(torch.file) C:\Users\86133.conda\envs\r-sjsdm\lib\site-packages\torch__init__.py
But the path at is > install_diagnostic() torch: C:\Users\86133\CONDA~1\envs\r-sjsdm\lib\site-packages\torch__init__.p I'm wondering if it's a problem here.
hm, let's ignore that for now. Have you run the following code?:
library(reticulate)
reticulate::conda_remove("r-sjSDM")
reticulate::conda_create(envname = "r-sjsdm", python_version = "3.9")
# CPU Version:
reticulate::conda_install(envname = "r-sjsdm",
packages =c("pytorch", "torchvision", "torchaudio", "cpuonly", "-c", "pytorch"))
# GPU Version:
reticulate::conda_install(envname = "r-sjsdm",
packages =c("pytorch", "torchvision", "torchaudio", "pytorch-cuda=11.7", "-c", "pytorch", "-c" ,"nvidia"))
reticulate::conda_install(envname = "r-sjsdm",
packages = c("pyro-ppl", "torch_optimizer", "madgrad", "tqdm"), pip = TRUE)
I have tried the code you gave me several times, but the results are all the same.
That's weird, sorry, this might be a stupid question, but you have an NVIDIA GPU, right? Because you have the cuda/gpu torch version installed.
Yes, I am using a laptop, and my GPU is NVIDIA GeForce MX450
Just for the record, could you please reinstall everything with the cpu pytorch version?:
library(reticulate)
reticulate::conda_remove("r-sjSDM")
reticulate::conda_create(envname = "r-sjsdm", python_version = "3.9")
# CPU Version:
reticulate::conda_install(envname = "r-sjsdm",
packages =c("pytorch", "torchvision", "torchaudio", "cpuonly", "-c", "pytorch"))
reticulate::conda_install(envname = "r-sjsdm",
packages = c("pyro-ppl", "torch_optimizer", "madgrad", "tqdm"), pip = TRUE)
Okay, I reinstalled it, but I still can't use SJSDM
install_diagnostic() name python 1 r-sjsdm C:\Users\86133\.conda\envs\r-sjsdm/python.exe 2 base I:\miniconda/python.exe
ENV: r-sjsdm
torch: packages in environment at C:\Users\86133.conda\envs\r-sjsdm:
Name Version Build Channel pytorch 2.1.0 py3.9_cpu_0 pytorch pytorch-mutex 1.0 cpu pytorch pytorch-ranger 0.1.1 pypi_0 pypi torch-optimizer 0.3.0 pypi_0 pypi torchaudio 2.1.0 py39_cpu pytorch torchvision 0.16.0 py39_cpu pytorch
numpy: packages in environment at C:\Users\86133.conda\envs\r-sjsdm:
Name Version Build Channel numpy 1.26.0 py39hddb5d58_0 conda-forge
ENV: base
torch: packages in environment at I:\miniconda:
Name Version Build Channel
numpy: packages in environment at I:\miniconda:
Name Version Build Channel
python: C:/Users/86133/.conda/envs/r-sjsdm/python.exe libpython: C:/Users/86133/.conda/envs/r-sjsdm/python39.dll pythonhome: C:/Users/86133/.conda/envs/r-sjsdm version: 3.9.18 | packaged by conda-forge | (main, Aug 30 2023, 03:40:31) [MSC v.1929 64 bit (AMD64)] Architecture: 64bit numpy: C:/Users/86133/AppData/Roaming/Python/Python39/site-packages/numpy numpy_version: 1.26.0 torch: C:\Users\86133\CONDA~1\envs\r-sjsdm\lib\site-packages\torch__init__.p
NOTE: Python version was forced by use_python() function
active environment : None
user config file : C:\Users\86133\.condarc
populated config files : conda version : 23.5.2 conda-build version : not installed python version : 3.11.4.final.0 virtual packages : __archspec=1=x86_64 cuda=12.2=0 win=0=0 base environment : I:\miniconda (read only) conda av data dir : I:\miniconda\etc\conda conda av metadata url : None channel URLs : https://repo.anaconda.com/pkgs/main/win-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/win-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/msys2/win-64 https://repo.anaconda.com/pkgs/msys2/noarch package cache : I:\miniconda\pkgs C:\Users\86133.conda\pkgs C:\Users\86133\AppData\Local\conda\conda\pkgs envs directories : C:\Users\86133.conda\envs I:\miniconda\envs C:\Users\86133\AppData\Local\conda\conda\envs platform : win-64 user-agent : conda/23.5.2 requests/2.29.0 CPython/3.11.4 Windows/10 Windows/10.0.22000 administrator : False netrc file : None offline mode : False
Ok, maybe we can delete the directory from within R:
unlink("C:\Users\86133\CONDA~1",recursive = TRUE)
Afterwards restart RStudio and load sjSDM
After i delete the directory, I found that my r-sjsdm environment has also been deleted.
Hello,
Thank you for the package! Unfortunately I'm having the same issue as yang. I've followed the suggestions above, and still get the following error each time.
`> library(sjSDM) ── Attaching sjSDM ──────────────────────────────────────────── 1.0.5 ── ✖ torch ✖ torch_optimizer ✖ pyro ✖ madgrad
Torch or other dependencies not found:
Hi @kendrag-csu, @yang963469904,
I think I found something, let's try the latest pytorch and support python version:
library(reticulate)
reticulate::conda_remove("r-sjSDM")
reticulate::conda_create(envname = "r-sjsdm", python_version = "3.11")
# CPU Version:
reticulate::conda_install(envname = "r-sjsdm",
packages =c("pytorch", "torchvision", "torchaudio", "cpuonly", "-c", "pytorch"))
reticulate::conda_install(envname = "r-sjsdm",
packages = c("pyro-ppl", "torch_optimizer", "madgrad", "tqdm"), pip = TRUE)
Thanks very much for your reply. After I reinstalled the system, the problem was solved.
Thank you for providing the package, but I encountered difficulties during installation. The automatic installation display package cannot be used, so I manually downloaded minniconda3 to install pytorch. Display installation success in Python, but cannot be used in r。
── Attaching sjSDM ───────────────────────────────────────────────────────────────────────────── 1.0.5 ── ✖ torch ✖ torch_optimizer ✖ pyro ✖ madgrad
Torch or other dependencies not found:
ENV: pythonProject1
torch: packages in environment at C:\Users\86133.conda\envs\pythonProject1:
Name Version Build Channel
numpy: packages in environment at C:\Users\86133.conda\envs\pythonProject1:
Name Version Build Channel
ENV: r-sjsdm
torch: packages in environment at C:\Users\86133.conda\envs\r-sjsdm:
Name Version Build Channel pytorch-ranger 0.1.1 pypi_0 pypi torch 2.0.1+cu118 pypi_0 pypi torch-optimizer 0.3.0 pypi_0 pypi torchaudio 2.0.2+cu118 pypi_0 pypi torchvision 0.15.2+cu118 pypi_0 pypi
numpy: packages in environment at C:\Users\86133.conda\envs\r-sjsdm:
Name Version Build Channel
ENV: base
torch: packages in environment at I:\miniconda3:
Name Version Build Channel
numpy: packages in environment at I:\miniconda3:
Name Version Build Channel
python: C:/Users/86133/.conda/envs/r-sjsdm/python.exe libpython: C:/Users/86133/.conda/envs/r-sjsdm/python39.dll pythonhome: C:/Users/86133/.conda/envs/r-sjsdm version: 3.9.18 | packaged by conda-forge | (main, Aug 30 2023, 03:40:31) [MSC v.1929 64 bit (AMD64)] Architecture: 64bit numpy: C:/Users/86133/AppData/Roaming/Python/Python39/site-packages/numpy numpy_version: 1.26.0 torch: C:\Users\86133\CONDA~1\envs\r-sjsdm\lib\site-packages\torch__init__.p
NOTE: Python version was forced by use_python() function
populated config files : C:\Users\86133.condarc conda version : 23.5.2 conda-build version : not installed python version : 3.11.4.final.0 virtual packages : __archspec=1=x86_64 cuda=12.2=0 win=0=0 base environment : I:\miniconda3 (read only) conda av data dir : I:\miniconda3\etc\conda conda av metadata url : None channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch https://repo.anaconda.com/pkgs/main/win-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/win-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/msys2/win-64 https://repo.anaconda.com/pkgs/msys2/noarch package cache : I:\miniconda3\pkgs C:\Users\86133.conda\pkgs C:\Users\86133\AppData\Local\conda\conda\pkgs envs directories : C:\Users\86133.conda\envs I:\miniconda3\envs C:\Users\86133\AppData\Local\conda\conda\envs platform : win-64 user-agent : conda/23.5.2 requests/2.29.0 CPython/3.11.4 Windows/10 Windows/10.0.22000 administrator : False netrc file : None offline mode : False