Vmamba Env Doctor

VMamba Environment Doctor

This skill provides a step-by-step guide to set up a stable, verified environment for VMamba, along with solutions to the most common setup errors.

When to Use This Skill

• User asks for help installing VMamba or its dependencies (mmcv, mmsegmentation, selective_scan).
• User reports a compilation error with nvcc or gcc.
• User sees ImportError: libc10.so: cannot open shared object file.
• User encounters ModuleNotFoundError: No module named 'torch' when running pip install ..
• User faces conflicts between NumPy 2.x and OpenCV or PyTorch.

Verified Stable Environment

Use the following combination to avoid most compatibility issues:

• Python: 3.10
• PyTorch: 2.1.0
• CUDA: 11.8
• gcc/g++: 11
• mmengine: 0.10.1
• mmcv: 2.1.0
• mmsegmentation: 1.2.2
• mmdet: 3.3.0
• mmpretrain: 1.2.0
• numpy: 1.26.4
• opencv-python-headless: 4.10.0.84

Step-by-Step Setup Instructions

Provide these commands to the user to create a clean environment:

# 1. Create and activate conda environment
conda create -n vmamba python=3.10 -y
conda activate vmamba

# 2. Install PyTorch 2.1.0 with CUDA 11.8
conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=11.8 -c pytorch -c nvidia -y

# 3. Fix MKL symbol error (iJIT_NotifyEvent)
conda install "mkl<2024.1" "intel-openmp<2024.1" -c conda-forge -y

# 4. Verify PyTorch installation
python -c "import torch; print(torch.__version__); print(torch.cuda.is_available()); print(torch.version.cuda)"

# 5. Install OpenMMLab packages
python -m pip install --upgrade pip
python -m pip install setuptools==81.0.0 wheel
python -m pip install -U openmim
mim install mmengine==0.10.1
mim install mmcv==2.1.0
python -m pip install mmsegmentation==1.2.2 mmdet==3.3.0 mmpretrain==1.2.0

# 6. Fix NumPy and OpenCV compatibility
python -m pip install numpy==1.26.4
python -m pip uninstall -y opencv-python opencv-python-headless
python -m pip install --no-cache-dir opencv-python-headless==4.10.0.84

# 7. Compile selective_scan with gcc-11
# (Ensure gcc-11 and g++-11 are installed: sudo apt install gcc-11 g++-11)
export CC=gcc-11
export CXX=g++-11
cd kernels/selective_scan
pip install . --no-build-isolation

# 8. Verify selective_scan import
python -c "import torch; import selective_scan_cuda_oflex; print('selective_scan OK')"