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20 changes: 13 additions & 7 deletions jupyter/trustyai/ubi9-python-3.12/pylock.toml
Original file line number Diff line number Diff line change
Expand Up @@ -4235,14 +4235,20 @@ wheels = [{ url = "https://files.pythonhosted.org/packages/70/26/2591b48412bde75
[[packages]]
name = "triton"
version = "3.3.1"
marker = "platform_machine != 'ppc64le' and sys_platform == 'linux'"
marker = "platform_machine != 'ppc64le'"
wheels = [
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{ url = "https://files.pythonhosted.org/packages/21/2f/3e56ea7b58f80ff68899b1dbe810ff257c9d177d288c6b0f55bf2fe4eb50/triton-3.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", upload-time = 2025-05-29T23:39:44Z, size = 155689937, hashes = { sha256 = "b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b" } },
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]

[[packages]]
Expand Down
14 changes: 14 additions & 0 deletions jupyter/trustyai/ubi9-python-3.12/pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,19 @@ dependencies = [
# PyTorch packages
"torch==2.7.1+cu128; platform_machine != 'ppc64le'",

# Triton here is a dependency of torch, and is just being
# explicitly re-declared so that the index to pull it from can be
# customized. Although torch was being pulled from the PyTorch
# index, all of its dependencies are still defaulting to coming
# from PyPI (or whatever default index is used for a build). In
# the triton case, PyPI only has x86_64 wheels for this version,
# but the PyTorch index has both x86_64 and aarch64 wheels,
# matching the arches that are available for torch.
#
# Since it's a dependency of torch, I've also added same platform
# exclusion marker to omit for ppc64le.
"triton==3.3.1; platform_machine != 'ppc64le'",

# TrustyAI packages
# More information available at:
# - https://pypi.org/project/trustyai/
Expand Down Expand Up @@ -64,6 +77,7 @@ environments = [

[tool.uv.sources]
torch = { index = "pytorch-cuda" }
triton = { index = "pytorch-cuda" }

[[tool.uv.index]]
name = "pytorch-cuda"
Expand Down
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