INSTALLATION.md

🛠️ Installation

• Clone this repository:

  git clone https://github.com/OpenGVLab/InternVL.git

• Create a conda virtual environment and activate it:

  conda create -n internvl python=3.9 -y
  conda activate internvl

• Install PyTorch>=2.0 and torchvision>=0.15.2 with CUDA>=11.6:

  For examples, to install torch==2.0.1 with CUDA==11.8:

  conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
  # or
  pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118

• Install flash-attn==2.3.6:

  pip install flash-attn==2.3.6 --no-build-isolation

  Alternatively you can compile from source:

  git clone https://github.com/Dao-AILab/flash-attention.git
  cd flash-attention
  git checkout v2.3.6
  python setup.py install

• Install timm==0.9.12 and mmcv-full==1.6.2:

  pip install timm==0.9.12
  pip install -U openmim
  mim install mmcv-full==1.6.2  # (optional, for mmsegmentation)

• Install transformers==4.37.2:

  pip install transformers==4.37.2

• Install apex (optional):

  git clone https://github.com/NVIDIA/apex.git
  git checkout 2386a912164b0c5cfcd8be7a2b890fbac5607c82  # https://github.com/NVIDIA/apex/issues/1735
  pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./

  If you meet ModuleNotFoundError: No module named 'fused_layer_norm_cuda', please note that this is because apex's CUDA extensions are not being installed successfully. You can try to uninstall apex and the code will default to the PyTorch version of RMSNorm; Or, if you want to use apex, try adding a few lines to setup.py, like this, and then recompiling.

  

• Install other requirements:

  pip install opencv-python termcolor yacs pyyaml scipy
  pip install deepspeed==0.13.5
  pip install pycocoevalcap tqdm