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"lit"] -tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"] -tutorials = ["matplotlib", "pandas", "tabulate"] +build = ["cmake (>=3.20)", "lit"] +tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"] +tutorials = ["matplotlib", "pandas", "tabulate", "torch"] [[package]] name = "twine" @@ -3019,4 +3036,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8" -content-hash = "905c11953f7c5bf2aee79a51627f61845143f97e50ea28da4f1e6b70f17f2b9e" +content-hash = "36ed98a6123551cfe1f0ab116b5e8aef70ffee8f86563faf61e607828e6dac6a" diff --git a/python/pyproject.toml b/python/pyproject.toml index 0c16a50..a83cc03 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -12,29 +12,8 @@ importlib-metadata = ">=5.1.0" numpy = [{ version = ">=1.20,<1.25", python = ">=3.8,<3.9" }, { version = ">=1.24", python = ">=3.9,<3.12" }, { version = ">=1.26", python = ">=3.12,<3.13" }] -python = ">=3.8" -torch = ">=1.10" # See PyTorch 2 fix below -# PyTorch 2.1.0 Bug Fix PyTorch didn't put their dependencies metadata into all wheels for 2.1.0, so -# it doesn't work with Poetry. This is a known bug - the workaround is to place them manually here -# (from the one wheel that did correctly list them). This was broken in 2.0.1 and the fix wasn't -# made for 2.1.0, however Meta are aware of the issue and once it is fixed (and the torch version -# requirement bumped) this should be removed. Note also the python version is used to specify that -# this is only added where v2 torch is installed (as per the torch version requirement above). -# https://github.com/pytorch/pytorch/issues/100974 -# https://github.com/python-poetry/poetry/issues/7902#issuecomment-1583078794 -nvidia-cuda-nvrtc-cu12 = { version = "==12.1.105", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-cuda-runtime-cu12 = { version = "==12.1.105", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-cuda-cupti-cu12 = { version = "==12.1.105", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-cudnn-cu12 = { version = "==8.9.2.26", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-cublas-cu12 = { version = "==12.1.3.1", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-cufft-cu12 = { version = "==11.0.2.54", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-curand-cu12 = { version = "==10.3.2.106", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-cusolver-cu12 = { version = "==11.4.5.107", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-cusparse-cu12 = { version = "==12.1.0.106", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-nccl-cu12 = { version = "==2.18.1", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -nvidia-nvtx-cu12 = { version = "==12.1.105", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -triton = { version = "==2.1.0", markers = "platform_system == 'Linux' and platform_machine == 'x86_64'" } -# End PyTorch 2.1.0 Bug Fix +python = ">=3.8" +torch = ">=2.1.1" [tool.poetry.group.dev.dependencies] autopep8 = ">=2.0" @@ -44,7 +23,6 @@ pytest = ">=7.2" snapshottest = ">=0.6" twine = ">=4.0.1" - [tool.poetry.group.jupyter.dependencies] jupyterlab = ">=3.5"