[tool.poetry] name = "reproducible" version = "0.0.1" description = "Reproducible Machine Learning Environment" authors = ["Leni Aniva "] readme = "README.md" include = [] packages = [{ include = "reproducible" }] [tool.poetry.scripts] reproducible = "reproducible.util:main" [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" [tool.poetry.dependencies] python = "^3.11" numpy = "^1.26" #torch = { url = "https://download.pytorch.org/whl/cu118/torch-2.2.1+cu118-cp311-cp311-linux_x86_64.whl" } torch = { version = "^2.2.0", source = "pytorch-cu118" } torch-geometric = "^2.5.2" #pyg-lib = { git = "https://github.com/pyg-team/pyg-lib.git", tag = "0.4.0" } #torch-cluster = { version = "1.6.3" } #torch-scatter = { version = "2.1.2" } #torch-sparse = { version = "0.6.18" } #torch-spline-conv = { version = "1.2.2" } #pyg-lib = { version = "0.4.0", source = "pyg-torch220-cu118" } #torch-cluster = { version = "1.6.3", source = "pyg-torch220-cu118" } #torch-scatter = { version = "2.1.2", source = "pyg-torch220-cu118" } #torch-sparse = { version = "0.6.18", source = "pyg-torch220-cu118" } #torch-spline-conv = { version = "1.2.2", source = "pyg-torch220-cu118" } [[tool.poetry.source]] name = "pytorch-cu118" url = "https://download.pytorch.org/whl/cu118" priority = "explicit" #[[tool.poetry.source]] #name = "pyg-torch220-cu118" #url = "git+https://github.com/pyg-team/pyg-lib.git" #url = "https://data.pyg.org/whl/torch-2.2.0+cu118.html" #priority = "explicit" #[[tool.poetry.source]] #name = "PyPI" #priority = "primary"