skynet/docker/Dockerfile.runtime+cuda

from nvidia/cuda:11.7.0-devel-ubuntu20.04
from python:3.11

env DEBIAN_FRONTEND=noninteractive

run apt-get update && \
    apt-get install -y ffmpeg libsm6 libxext6

workdir /skynet

copy requirements.cuda* ./

run pip install -U pip ninja
run pip install -v -r requirements.cuda.0.txt
run pip install -v -r requirements.cuda.1.txt
run pip install -v -r requirements.cuda.2.txt

copy requirements.txt requirements.txt
copy pytest.ini pytest.ini
copy setup.py setup.py
copy skynet skynet

run pip install -e . -r requirements.txt

env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128
env NVIDIA_VISIBLE_DEVICES=all
env HF_HOME /hf_home

copy tests tests
First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00			`from nvidia/cuda:11.7.0-devel-ubuntu20.04`
Drop separate reqs file for tests Update docker containers Create cli helpers for interacting with skynet Add test Begin adding hyperion api to telegram frontend 2023-05-27 20:50:47 +00:00			`from python:3.11`
First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00
			`env DEBIAN_FRONTEND=noninteractive`

Add upscaler 2022-12-24 13:39:40 +00:00			`run apt-get update && \`
			`apt-get install -y ffmpeg libsm6 libxext6`

First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00			`workdir /skynet`

Rework dgpu client to be single task Add a lot of dgpu real image gen tests Modified docker files and environment to allow for quick test relaunch without image rebuild Rename package from skynet_bot to skynet Drop tractor usage cause cuda is oriented to just a single proc managing gpu resources Add ackwnoledge phase to image request for quick gpu disconnected type scenarios Add click entry point for dgpu Add posibility to reuse postgres_db fixture on same session by checking if schema init has been already done 2022-12-17 14:39:42 +00:00			`copy requirements.cuda* ./`
First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00
			`run pip install -U pip ninja`
Separate cuda build in a third step 2023-01-16 03:25:16 +00:00			`run pip install -v -r requirements.cuda.0.txt`
First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00			`run pip install -v -r requirements.cuda.1.txt`
Separate cuda build in a third step 2023-01-16 03:25:16 +00:00			`run pip install -v -r requirements.cuda.2.txt`
First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00
Rework dgpu client to be single task Add a lot of dgpu real image gen tests Modified docker files and environment to allow for quick test relaunch without image rebuild Rename package from skynet_bot to skynet Drop tractor usage cause cuda is oriented to just a single proc managing gpu resources Add ackwnoledge phase to image request for quick gpu disconnected type scenarios Add click entry point for dgpu Add posibility to reuse postgres_db fixture on same session by checking if schema init has been already done 2022-12-17 14:39:42 +00:00			`copy requirements.txt requirements.txt`
			`copy pytest.ini pytest.ini`
			`copy setup.py setup.py`
			`copy skynet skynet`

Drop separate reqs file for tests Update docker containers Create cli helpers for interacting with skynet Add test Begin adding hyperion api to telegram frontend 2023-05-27 20:50:47 +00:00			`run pip install -e . -r requirements.txt`
First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00
Rework dgpu client to be single task Add a lot of dgpu real image gen tests Modified docker files and environment to allow for quick test relaunch without image rebuild Rename package from skynet_bot to skynet Drop tractor usage cause cuda is oriented to just a single proc managing gpu resources Add ackwnoledge phase to image request for quick gpu disconnected type scenarios Add click entry point for dgpu Add posibility to reuse postgres_db fixture on same session by checking if schema init has been already done 2022-12-17 14:39:42 +00:00			`env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128`
First decupled architecture, still working on integrating tractor gpu workers 2022-12-10 21:18:03 +00:00			`env NVIDIA_VISIBLE_DEVICES=all`
			`env HF_HOME /hf_home`

Rework dgpu client to be single task Add a lot of dgpu real image gen tests Modified docker files and environment to allow for quick test relaunch without image rebuild Rename package from skynet_bot to skynet Drop tractor usage cause cuda is oriented to just a single proc managing gpu resources Add ackwnoledge phase to image request for quick gpu disconnected type scenarios Add click entry point for dgpu Add posibility to reuse postgres_db fixture on same session by checking if schema init has been already done 2022-12-17 14:39:42 +00:00			`copy tests tests`