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skynet
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skynet/pyproject.toml

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Switch to using poetry package manager
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[tool.poetry]
name = 'skynet'
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version = '0.1a12'
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description = 'Decentralized compute platform'
authors = ['Guillermo Rodriguez <guillermo@telos.net>']
license = 'AGPL'
readme = 'README.md'
[tool.poetry.dependencies]
python = '>=3.10,<3.12'
pytz = '^2023.3.post1'
trio = '^0.22.2'
asks = '^3.0.0'
Start using msgspec for message serialization/deseraliazation Add new pipeline_for_v2 that loads based on ModelParams struct Fix cli to new protocol_v2 Fix worker code to new protocol_v2 Switch to pdbplus Split cuda_utils and normal utils
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toml = '^0.10.2'
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Pillow = '^10.0.1'
docker = '^6.1.3'
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ueosio = {git = 'https://github.com/EOSArgentina/ueosio.git', rev = '543ab0a8b4b515d4b34ff02f1af4252b34ebd554'}
py-leap = {git = 'https://github.com/guilledk/py-leap.git', rev = 'multi_push_action'}
msgspec = '^0.18.4'
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[tool.poetry.group.frontend]
optional = true
[tool.poetry.group.frontend.dependencies]
triopg = {version = '^0.6.0'}
aiohttp = {version = '^3.8.5'}
psycopg2-binary = {version = '^2.9.7'}
pyTelegramBotAPI = {version = '^4.14.0'}
'discord.py' = {version = '^2.3.2'}
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.dev.dependencies]
Start using msgspec for message serialization/deseraliazation Add new pipeline_for_v2 that loads based on ModelParams struct Fix cli to new protocol_v2 Fix worker code to new protocol_v2 Switch to pdbplus Split cuda_utils and normal utils
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pdbplus = {version = '^1.5.0'}
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pytest = {version = '^7.4.2'}
[tool.poetry.group.cuda]
optional = true
[tool.poetry.group.cuda.dependencies]
Add venv to dockerignore Improve readme Improve dockerization as ipfs cli exec runs not needed anymore Fix pyproject toml for gpu workers Add more sections on example config Drop and siomplify many cli commands, try to use config.ini for everything now Use more dynamic imports on cli to speed up startup Improve model pipelines to allow low mem cards to run big models Add upscaler download to `skynet download` cmd
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torch = {version = '2.0.1+cu118', source = 'torch'}
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scipy = {version = '^1.11.2'}
Add venv to dockerignore Improve readme Improve dockerization as ipfs cli exec runs not needed anymore Fix pyproject toml for gpu workers Add more sections on example config Drop and siomplify many cli commands, try to use config.ini for everything now Use more dynamic imports on cli to speed up startup Improve model pipelines to allow low mem cards to run big models Add upscaler download to `skynet download` cmd
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numba = {version = '0.57.0'}
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quart = {version = '^0.19.3'}
Start using msgspec for message serialization/deseraliazation Add new pipeline_for_v2 that loads based on ModelParams struct Fix cli to new protocol_v2 Fix worker code to new protocol_v2 Switch to pdbplus Split cuda_utils and normal utils
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compel = {version = '^2.0.2'}
Add venv to dockerignore Improve readme Improve dockerization as ipfs cli exec runs not needed anymore Fix pyproject toml for gpu workers Add more sections on example config Drop and siomplify many cli commands, try to use config.ini for everything now Use more dynamic imports on cli to speed up startup Improve model pipelines to allow low mem cards to run big models Add upscaler download to `skynet download` cmd
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triton = {version = '2.0.0', source = 'torch'}
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basicsr = {version = '^1.4.2'}
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xformers = {version = '^0.0.22'}
hypercorn = {version = '^0.14.4'}
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diffusers = {version = '^0.21.2'}
realesrgan = {version = '^0.3.0'}
Fix missing quart dep
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quart-trio = {version = '^0.11.0'}
Add venv to dockerignore Improve readme Improve dockerization as ipfs cli exec runs not needed anymore Fix pyproject toml for gpu workers Add more sections on example config Drop and siomplify many cli commands, try to use config.ini for everything now Use more dynamic imports on cli to speed up startup Improve model pipelines to allow low mem cards to run big models Add upscaler download to `skynet download` cmd
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torchvision = {version = '0.15.2+cu118', source = 'torch'}
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accelerate = {version = '^0.23.0'}
transformers = {version = '^4.33.2'}
huggingface-hub = {version = '^0.17.3'}
invisible-watermark = {version = '^0.2.0'}
[[tool.poetry.source]]
name = 'torch'
Add venv to dockerignore Improve readme Improve dockerization as ipfs cli exec runs not needed anymore Fix pyproject toml for gpu workers Add more sections on example config Drop and siomplify many cli commands, try to use config.ini for everything now Use more dynamic imports on cli to speed up startup Improve model pipelines to allow low mem cards to run big models Add upscaler download to `skynet download` cmd
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url = 'https://download.pytorch.org/whl/cu118'
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priority = 'explicit'
[build-system]
Add venv to dockerignore Improve readme Improve dockerization as ipfs cli exec runs not needed anymore Fix pyproject toml for gpu workers Add more sections on example config Drop and siomplify many cli commands, try to use config.ini for everything now Use more dynamic imports on cli to speed up startup Improve model pipelines to allow low mem cards to run big models Add upscaler download to `skynet download` cmd
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requires = ['poetry-core', 'cython']
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build-backend = 'poetry.core.masonry.api'
Add venv to dockerignore Improve readme Improve dockerization as ipfs cli exec runs not needed anymore Fix pyproject toml for gpu workers Add more sections on example config Drop and siomplify many cli commands, try to use config.ini for everything now Use more dynamic imports on cli to speed up startup Improve model pipelines to allow low mem cards to run big models Add upscaler download to `skynet download` cmd
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[tool.poetry.scripts]
skynet = 'skynet.cli:skynet'