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b/pyproject.toml index cb5d4e9f..9e25282b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,6 +15,11 @@ classifiers = [ "Programming Language :: Python :: 3.11", ] +[[tool.poetry.source]] +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +priority = "explicit" + [tool.poetry.dependencies] python = ">=3.8,<3.12" parameterspace = ">=0.7.2,<0.9" @@ -25,6 +30,7 @@ statsmodels = {version = "^0.13.2", optional = true} dask = {version = "^2023.1.0", optional = true} distributed = {version = "^2023.1.0", optional = true} pandas = {version = "^1.2.4", optional = true} +torch = {version = ">=1.12", optional = true, source = "pytorch-cpu"} botorch = {version = "^0.7.1", optional = true} pymoo = {version = "^0.6.0.1", optional = true} @@ -47,10 +53,10 @@ types-toml = "^0.10.7" kaleido = "0.2.1" # pin hard, because 0.2.1post1 fails to install [tool.poetry.extras] -all = ["numpy", "plotly", "scipy", "statsmodels", "dask", "distributed", "pandas", "botorch", "pymoo"] +all = ["numpy", "plotly", "scipy", "statsmodels", "dask", "distributed", "pandas", "torch", "botorch", "pymoo"] hyperband = ["numpy"] bohb = ["numpy", "scipy", "statsmodels"] -botorch = ["botorch"] +botorch = ["torch", "botorch"] space-fill = ["numpy", "scipy"] dask = ["dask", "distributed"] visualization = ["plotly", "scipy", "pandas", "pymoo"]