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pyproject.toml
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74 lines (65 loc) · 1.51 KB
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[project]
name = "dreamer4"
version = "0.2.5"
description = "Dreamer 4"
authors = [
{ name = "Phil Wang", email = "lucidrains@gmail.com" }
]
readme = "README.md"
requires-python = ">= 3.9"
license = { file = "LICENSE" }
keywords = [
'artificial intelligence',
'deep learning',
'transformer',
'attention mechanism',
'model-based reinforcement learning',
'world models'
]
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.9',
]
dependencies = [
"accelerate",
"adam-atan2-pytorch>=0.2.2",
"assoc-scan",
"discrete-continuous-embed-readout>=0.1.12",
"einx>=0.3.0",
"einops>=0.8.1",
"ema-pytorch",
"hl-gauss-pytorch",
"hyper-connections>=0.3.12",
"moviepy==1.0.3",
"torch>=2.4",
"torch_einops_utils>=0.0.20",
"torchvision",
"x-mlps-pytorch>=0.0.29",
"vit-pytorch>=1.15.3",
]
[project.urls]
Homepage = "https://pypi.org/project/dreamer4/"
Repository = "https://github.com/lucidrains/dreamer4"
[project.optional-dependencies]
examples = []
test = [
"pytest",
"pytest-shard"
]
[tool.pytest.ini_options]
pythonpath = [
"."
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.rye]
managed = true
dev-dependencies = []
[tool.hatch.metadata]
allow-direct-references = true
[tool.hatch.build.targets.wheel]
packages = ["dreamer4"]