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docker_build_script_ubuntu.sh
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docker_build_script_ubuntu.sh
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#!/bin/bash
set -o pipefail
set -ex
export DEBIAN_FRONTEND=noninteractive
export PATH=/h2ogpt_conda/bin:$PATH
export HOME=/workspace
export CUDA_HOME=/usr/local/cuda-11.8
# Install linux dependencies
apt-get update && apt-get install -y \
git \
curl \
wget \
software-properties-common \
pandoc \
vim \
libmagic-dev \
poppler-utils \
tesseract-ocr \
libtesseract-dev \
libreoffice \
autoconf \
libtool
# Run upgrades
apt-get upgrade -y
# Install conda
wget https://repo.anaconda.com/miniconda/Miniconda3-py310_23.1.0-1-Linux-x86_64.sh && \
mkdir -p /h2ogpt_conda && \
bash ./Miniconda3-py310_23.1.0-1-Linux-x86_64.sh -b -u -p /h2ogpt_conda && \
conda install python=3.10 pygobject weasyprint -c conda-forge -y
export PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cu118"
bash docs/linux_install.sh
chmod -R a+rwx /h2ogpt_conda
# setup tiktoken cache
export TIKTOKEN_CACHE_DIR=/workspace/tiktoken_cache
python3.10 -c "
import tiktoken
from tiktoken_ext import openai_public
# FakeTokenizer etc. needs tiktoken for general tasks
for enc in openai_public.ENCODING_CONSTRUCTORS:
encoding = tiktoken.get_encoding(enc)
model_encodings = [
'gpt-4',
'gpt-4-0314',
'gpt-4-32k',
'gpt-4-32k-0314',
'gpt-3.5-turbo',
'gpt-3.5-turbo-16k',
'gpt-3.5-turbo-0301',
'text-ada-001',
'ada',
'text-babbage-001',
'babbage',
'text-curie-001',
'curie',
'davinci',
'text-davinci-003',
'text-davinci-002',
'code-davinci-002',
'code-davinci-001',
'code-cushman-002',
'code-cushman-001'
]
for enc in model_encodings:
encoding = tiktoken.encoding_for_model(enc)
print('Done!')
"
############################################################
# vllm server
export VLLM_CACHE=/workspace/.vllm_cache
cd /h2ogpt_conda
python -m venv vllm_env --system-site-packages
# gputil is for rayWorker in vllm to run as non-root
# below required outside docker:
# apt-get install libnccl2
/h2ogpt_conda/vllm_env/bin/python -m pip install https://github.com/vllm-project/vllm/releases/download/v0.2.7/vllm-0.2.7+cu118-cp310-cp310-manylinux1_x86_64.whl
/h2ogpt_conda/vllm_env/bin/python -m pip install mosaicml-turbo
#/h2ogpt_conda/vllm_env/bin/python -m pip install megablocks==0.5.0
/h2ogpt_conda/vllm_env/bin/python -m pip install https://h2o-release.s3.amazonaws.com/h2ogpt/triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
/h2ogpt_conda/vllm_env/bin/python -m pip install https://h2o-release.s3.amazonaws.com/h2ogpt/megablocks-0.5.0-cp310-cp310-linux_x86_64.whl
# 1006.9 RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx
/h2ogpt_conda/vllm_env/bin/python -m pip install ray pandas gputil==1.4.0 fschat==0.2.34 flash-attn==2.4.2 autoawq==0.1.8 uvicorn[standard]
mkdir $VLLM_CACHE
chmod -R a+rwx /h2ogpt_conda
# Make sure old python location works in case using scripts from old documentation
mkdir -p /h2ogpt_conda/envs/vllm/bin
ln -s /h2ogpt_conda/vllm_env/bin/python3.10 /h2ogpt_conda/envs/vllm/bin/python3.10
# Track build info
cd /workspace && make build_info.txt git_hash.txt
cp /workspace/build_info.txt /build_info.txt
cp /workspace/git_hash.txt /git_hash.txt
mkdir -p /workspace/save
chmod -R a+rwx /workspace/save
# Cleanup
rm -rf /workspace/Miniconda3-py310_23.1.0-1-Linux-x86_64.sh
rm -rf /workspace/.cache/pip