refiners/pyproject.toml
Benjamin Trom 282578ddc0 add Segment Anything (SAM) to foundational models
Note: dense prompts (i.e. masks) support is still partial (see MaskEncoder)

Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
2023-09-21 11:44:30 +02:00

68 lines
2.1 KiB
TOML

[tool.poetry]
name = "refiners"
version = "0.1.0"
description = "The simplest way to train and run adapters on top of foundational models"
authors = [
"The Finegrain Team <bonjour@lagon.tech>",
]
license = "MIT"
readme = "README.md"
packages = [{include = "refiners", from = "src"}]
[tool.poetry.dependencies]
python = ">=3.10,<3.12"
jaxtyping = "^0.2.14"
torch = "^2.0.0"
safetensors = "^0.3.0"
numpy = "^1.24.2"
pillow = "^9.5.0"
datasets = {version = "^2.14.0", optional = true}
tomli = {version = "^2.0.1", optional = true}
wandb = {version = "^0.15.7", optional = true}
loguru = {version = "^0.7.0", optional = true}
bitsandbytes = {version = "^0.41.0", optional = true}
prodigyopt = {version = "^1.0", optional = true}
pydantic = {version = "~2.0.3", optional = true}
scipy = {version = "^1.11.1", optional = true}
torchvision = {version = "^0.15.2", optional = true}
diffusers = {version = "^0.18.0", optional = true}
transformers = {version = "^4.27.4", optional = true}
piq = {version = "^0.7.1", optional = true}
invisible-watermark = {version = "^0.2.0", optional = true}
segment-anything = {git = "https://github.com/facebookresearch/segment-anything", optional = true}
[tool.poetry.extras]
training = ["datasets", "tomli", "wandb", "loguru", "bitsandbytes", "prodigyopt", "pydantic", "scipy", "torchvision"]
conversion = ["diffusers", "transformers", "segment-anything"]
test = ["diffusers", "transformers", "piq", "invisible-watermark", "segment-anything"]
[tool.poetry.group.dev.dependencies]
black = "^23.1.0"
pytest = "^7.2.2"
isort = "^5.12.0"
ipykernel = "^6.22.0"
pyright = "^1.1.318"
ruff = "^0.0.281"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.black]
line-length = 120
preview = true
[tool.ruff]
ignore = [
"F722", # forward-annotation-syntax-error, because of Jaxtyping
"E731", # do-not-assign-lambda
"E501", # line-too-long, because Black (https://beta.ruff.rs/docs/faq/#is-ruff-compatible-with-black)
]
line-length = 120
[tool.pyright]
include = ["src/refiners", "tests", "scripts"]
strict = ["*"]
exclude = ["**/__pycache__"]
reportMissingTypeStubs = "warning"