Trying to run ComfyUI in FreeBSD using the miniconda installer and the Linuxulator : failed.

Hello.

Trying to run ComfyUI in FreeBSD using the miniconda installer and the Linuxulator , but it failes.

```
pytorch) I have no name!@marietto:/usr/home/marietto$ conda create --name pytorch python=3.12
WARNING: A conda environment already exists at '/home/marietto/miniconda3/envs/pytorch'
Remove existing environment (y/[n])? y

Collecting package metadata (current_repodata.json): done
Solving environment: done

==> WARNING: A newer version of conda exists. <==
current version: 22.11.1
latest version: 25.3.1

Please update conda by running

$ conda update -n base -c defaults conda

Or to minimize the number of packages updated during conda update use

conda install conda=25.3.1

## Package Plan ##

environment location: /home/marietto/miniconda3/envs/pytorch

added / updated specs:
- python=3.12

The following NEW packages will be INSTALLED:

_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
_openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu
bzip2 pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6
ca-certificates pkgs/main/linux-64::ca-certificates-2025.2.25-h06a4308_0
expat pkgs/main/linux-64::expat-2.7.1-h6a678d5_0
ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0
libffi pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1
libgcc-ng pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1
libgomp pkgs/main/linux-64::libgomp-11.2.0-h1234567_1
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1
libuuid pkgs/main/linux-64::libuuid-1.41.5-h5eee18b_0
ncurses pkgs/main/linux-64::ncurses-6.4-h6a678d5_0
openssl pkgs/main/linux-64::openssl-3.0.16-h5eee18b_0
pip pkgs/main/noarch::pip-25.1-pyhc872135_2
python pkgs/main/linux-64::python-3.12.9-h5148396_0
readline pkgs/main/linux-64::readline-8.2-h5eee18b_0
setuptools pkgs/main/linux-64::setuptools-78.1.1-py312h06a4308_0
sqlite pkgs/main/linux-64::sqlite-3.45.3-h5eee18b_0
tk pkgs/main/linux-64::tk-8.6.14-h39e8969_0
tzdata pkgs/main/noarch::tzdata-2025b-h04d1e81_0
wheel pkgs/main/linux-64::wheel-0.45.1-py312h06a4308_0
xz pkgs/main/linux-64::xz-5.6.4-h5eee18b_1
zlib pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1

Proceed ([y]/n)? y

Downloading and Extracting Packages

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate pytorch
#
# To deactivate an active environment, use
#
# $ conda deactivate

(pytorch) I have no name!@marietto:/usr/home/marietto$ pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121

Looking in indexes: https://download.pytorch.org/whl/nightly/cu121
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.6.0.dev20241112%2Bcu121-cp312-cp312-linux_x86_64.whl (767.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 767.9/767.9 MB 9.9 MB/s eta 0:00:00
Collecting torchvision
Downloading https://download.pytorch.org/whl/nightly/cu121/torchvision-0.20.0.dev20241112%2Bcu121-cp312-cp312-linux_x86_64.whl (7.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.4/7.4 MB 8.0 MB/s eta 0:00:00
Collecting torchaudio
Downloading https://download.pytorch.org/whl/nightly/cu121/torchaudio-2.5.0.dev20241112%2Bcu121-cp312-cp312-linux_x86_64.whl (3.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 10.8 MB/s eta 0:00:00
Collecting filelock (from torch)
Using cached https://download.pytorch.org/whl/nightly/filelock-3.16.1-py3-none-any.whl (16 kB)
Collecting typing-extensions>=4.10.0 (from torch)
Using cached https://download.pytorch.org/whl/nightly/typing_extensions-4.12.2-py3-none-any.whl (37 kB)
Collecting networkx (from torch)
Using cached https://download.pytorch.org/whl/nightly/networkx-3.4.2-py3-none-any.whl (1.7 MB)
Collecting jinja2 (from torch)
Using cached https://download.pytorch.org/whl/nightly/jinja2-3.1.4-py3-none-any.whl (133 kB)
Collecting fsspec (from torch)
Using cached https://download.pytorch.org/whl/nightly/fsspec-2024.10.0-py3-none-any.whl (179 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 11.0 MB/s eta 0:00:00
Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 823.6/823.6 kB 9.2 MB/s eta 0:00:00
Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.1/14.1 MB 11.1 MB/s eta 0:00:00
Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 664.8/664.8 MB 10.1 MB/s eta 0:00:00
Collecting nvidia-cublas-cu12==12.1.3.1 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 410.6/410.6 MB 10.4 MB/s eta 0:00:00
Collecting nvidia-cufft-cu12==11.0.2.54 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.6/121.6 MB 10.8 MB/s eta 0:00:00
Collecting nvidia-curand-cu12==10.3.2.106 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.5/56.5 MB 11.1 MB/s eta 0:00:00
Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 124.2/124.2 MB 10.8 MB/s eta 0:00:00
Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 196.0/196.0 MB 10.9 MB/s eta 0:00:00
Collecting nvidia-cusparselt-cu12==0.6.2 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl (150.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 150.1/150.1 MB 10.9 MB/s eta 0:00:00
Collecting nvidia-nccl-cu12==2.21.5 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl (188.7 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 188.7/188.7 MB 10.9 MB/s eta 0:00:00
Collecting nvidia-nvtx-cu12==12.1.105 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
Collecting pytorch-triton==3.1.0+cf34004b8a (from torch)
Downloading https://download.pytorch.org/whl/nightly/pytorch_triton-3.1.0%2Bcf34004b8a-cp312-cp312-linux_x86_64.whl (239.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 239.6/239.6 MB 10.9 MB/s eta 0:00:00
Requirement already satisfied: setuptools in /home/marietto/miniconda3/envs/pytorch/lib/python3.12/site-packages (from torch) (78.1.1)
Collecting sympy==1.13.1 (from torch)
Downloading https://download.pytorch.org/whl/nightly/sympy-1.13.1-py3-none-any.whl (6.2 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.2/6.2 MB 11.0 MB/s eta 0:00:00
Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nvjitlink_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (19.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.8/19.8 MB 10.5 MB/s eta 0:00:00
Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch)
Using cached https://download.pytorch.org/whl/nightly/mpmath-1.3.0-py3-none-any.whl (536 kB)
Collecting numpy (from torchvision)
Using cached https://download.pytorch.org/whl/nightly/numpy-2.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.0 MB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
Using cached https://download.pytorch.org/whl/nightly/pillow-11.0.0-cp312-cp312-manylinux_2_28_x86_64.whl (4.4 MB)
Collecting MarkupSafe>=2.0 (from jinja2->torch)
Using cached https://download.pytorch.org/whl/nightly/MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (28 kB)

Installing collected packages: nvidia-cusparselt-cu12, mpmath, typing-extensions, sympy, pillow, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, MarkupSafe, fsspec, filelock, pytorch-triton, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch, torchvision, torchaudio
Successfully installed MarkupSafe-2.1.5 filelock-3.16.1 fsspec-2024.10.0 jinja2-3.1.4 mpmath-1.3.0 networkx-3.4.2 numpy-2.1.2 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-cusparselt-cu12-0.6.2 nvidia-nccl-cu12-2.21.5 nvidia-nvjitlink-cu12-12.1.105 nvidia-nvtx-cu12-12.1.105 pillow-11.0.0 pytorch-triton-3.1.0+cf34004b8a sympy-1.13.1 torch-2.6.0.dev20241112+cu121 torchaudio-2.5.0.dev20241112+cu121 torchvision-0.20.0.dev20241112+cu121 typing-extensions-4.12.2

(pytorch) I have no name!@marietto:/usr/home/marietto$ LD_PRELOAD="./dummy-uvm.so" python3 -c 'import torch; print(torch.cuda.is_available())'

/home/marietto/miniconda3/envs/pytorch/lib/python3.12/site-packages/torch/cuda/__init__.py:129: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 304: OS call failed or operation not supported on this OS (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:109.)
return torch._C._cuda_getDeviceCount() > 0
False

(pytorch) I have no name!@marietto:/usr/home/marietto$ nvidia-smi

Thu May 8 11:52:22 2025
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.154.05 Driver Version: 545.23.06 CUDA Version: 12.3 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce GTX 1060 3GB Off | 00000000:01:00.0 On | N/A |
| 53% 32C P8 10W / 120W | 344MiB / 3072MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce RTX 2080 Ti Off | 00000000:02:00.0 Off | N/A |
| 31% 34C P8 20W / 250W | 1MiB / 11264MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 4128 G al/libexec/Xorg 154MiB |
| 0 ... ... 2678784 G :0.0 N/A |
+---------------------------------------------------------------------------------------+
```