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Update build-xformers.sh

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Cyberes 2022-11-10 00:49:25 -07:00
parent 26e79282f7
commit 4905a76b0c
1 changed files with 21 additions and 30 deletions
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other/build-xformers.sh
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#!/bin/bash #!/bin/bash
# ONLY USE ON A PAPERSPACE NOTEBOOK SOURCE=${BASH_SOURCE[0]}
while [ -L "$SOURCE" ]; do
DIR=$( cd -P "$( dirname "$SOURCE" )" >/dev/null 2>&1 && pwd )
SOURCE=$(readlink "$SOURCE")
[[ $SOURCE != /* ]] && SOURCE=$DIR/$SOURCE
done
DIR=$( cd -P "$( dirname "$SOURCE" )" >/dev/null 2>&1 && pwd )
if [[ -z $1 ]] git config --system core.longpaths true
then git clone https://github.com/facebookresearch/xformers.git
echo -e "You need to set your cuda arch. Go to https://developer.nvidia.com/cuda-gpus and find your GPU.\nThen run this again like this:\n./build-xformers.sh [your cuda arch here]" cd xformers
exit git submodule update --init --recursive
fi pip install -r requirements.txt
# Completly remove cuda from your system
# The container comes with cuda 11.2 installed which pytorch is incompatable with
# We MUST install cuda 11.3
apt update apt update
apt purge -y cuda* apt purge -y cuda*
apt autoremove --purge -y apt autoremove --purge -y
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004-keyring.gpg -O /usr/share/keyrings/cuda-archive-keyring.gpg wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004-keyring.gpg -O /usr/share/keyrings/cuda-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg] https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /" | sudo tee /etc/apt/sources.list.d/cuda-ubuntu2004-x86_64.list echo "deb [signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg] https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /" | sudo tee /etc/apt/sources.list.d/cuda-ubuntu2004-x86_64.list
apt update apt update && apt install -y cuda-command-line-tools-11-3 cuda-compat-11-3 cuda-minimal-build-11-3 cuda-compiler-11-3 cuda-libraries-dev-11-3 cuda-cupti-dev-11-3 cuda-cupti-11-3 cuda-nvcc-11-3 cuda-cudart-dev-11-3 cuda-libraries-11-3 cuda-cudart-11-3 cuda-gdb-11-3 cuda-cuobjdump-11-3 cuda-cuxxfilt-11-3 cuda-driver-dev-11-3 cuda-memcheck-11-3 cuda-nvdisasm-11-3 cuda-nvml-dev-11-3 cuda-nvprof-11-3 cuda-nvprune-11-3 cuda-nvrtc-dev-11-3 cuda-nvrtc-11-3 cuda-nvtx-11-3 cuda-sanitizer-11-3
apt install -y cuda-command-line-tools-11-3 cuda-compat-11-3 cuda-minimal-build-11-3 cuda-compiler-11-3 cuda-libraries-dev-11-3 cuda-cupti-dev-11-3 cuda-cupti-11-3 cuda-nvcc-11-3 cuda-cudart-dev-11-3 cuda-libraries-11-3 cuda-cudart-11-3 cuda-gdb-11-3 cuda-cuobjdump-11-3 cuda-cuxxfilt-11-3 cuda-driver-dev-11-3 cuda-memcheck-11-3 cuda-nvdisasm-11-3 cuda-nvml-dev-11-3 cuda-nvprof-11-3 cuda-nvprune-11-3 cuda-nvrtc-dev-11-3 cuda-nvrtc-11-3 cuda-nvtx-11-3 cuda-sanitizer-11-3
# Download xformers source pip uninstall -y torch torchvision torchaudio # Remove existing pytorch install.
cd /notebooks/ pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
git config --system core.longpaths true pip install ninja
git clone https://github.com/facebookresearch/xformers.git XFORMERS_DISABLE_FLASH_ATTN=1 NVCC_FLAGS="--use_fast_math -DXFORMERS_MEM_EFF_ATTENTION_DISABLE_BACKWARD" MAX_JOBS=8 python setup.py bdist_wheel --universal
cd /notebooks/xformers
git submodule update --init --recursive
# Build xformers echo -e "\n\n\nOutput whl:"
apt install -y python3.9-venv find "$DIR/xformers" -name *.whl
python3 -m venv venv_xformers
source ./venv_xformers/bin/activate echo -e "Now do:\npip install --force-reinstall [path to the .whl file]"
pip uninstall -y torch torchvision torchaudio # Remove existing pytorch install.
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113 # Install pytorch for cuda 11.3
pip install setuptools==49.6.0 # This was suggested by anon
# nvidia-smi -L | perl -lane 'while (/^GPU\s[0-9]+:\s(.*?)\s\(UUID:.*?\)$/g) {printf "%s\n", $1}' # Get your GPU version and set the right cuda arch
# https://developer.nvidia.com/cuda-gpus
export TORCH_CUDA_ARCH_LIST=$1
pip install -r requirements.txt
pip install -e .