chore(dependencies): pin torch to CPU wheel on Linux x86_64#4473
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PyPI's torch 2.8.0 wheel for Linux x86_64 transitively installs the proprietary NVIDIA CUDA shared libraries (nvidia-*-cu12), which are not ASF-compatible for binary redistribution. Pin to the CPU-only wheel from PyTorch's CPU index on that platform via a PEP 508 marker; other platforms continue to resolve torch 2.8.0 from PyPI, which is already a CPU build on macOS/Windows/Linux-aarch64. GPU users install the CUDA wheel themselves post-install. Closes apache#4472. Generated-by: Claude Code (Claude Opus 4.7) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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…nt deps Removes entries that are no longer bundled after the following upstream PRs: - apache#4463 drop `twittered` (and its Sonar/jtidy/Maven-tooling transitive chain) - apache#4474 drop `python-lsp-server` (and its pylint/rope/astroid chain + extras) - apache#4475 drop `jschardet` from the frontend - apache#4473 pin torch to CPU wheel on Linux x86_64 (removes nvidia-*-cu12) - apache#4386 drop `mysql-connector-java` Adds entries for newly-bundled deps surfaced by the reconciliation: - `org.eclipse.collections` + `-api` under EDL-1.0 - Python `imageio` under BSD-2-Clause - Python `lazy-loader`, `scikit-image`, `tifffile` under BSD-3-Clause Also drops the now-redundant NOTICE-binary W3C block for xml-apis, the entire NVIDIA CUDA section in LICENSE-binary, and the Java HTML Tidy License section. Verified: the checker reports zero STALE/ADDED across JVM, Python, and npm ecosystems against a fresh `sbt dist` / frontend build / pip install. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
bobbai00
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Apr 23, 2026
…nt deps Removes entries that are no longer bundled after the following upstream PRs: - apache#4463 drop `twittered` (and its Sonar/jtidy/Maven-tooling transitive chain) - apache#4474 drop `python-lsp-server` (and its pylint/rope/astroid chain + extras) - apache#4475 drop `jschardet` from the frontend - apache#4473 pin torch to CPU wheel on Linux x86_64 (removes nvidia-*-cu12) - apache#4386 drop `mysql-connector-java` Adds entries for newly-bundled deps surfaced by the reconciliation: - `org.eclipse.collections` + `-api` under EDL-1.0 - Python `imageio` under BSD-2-Clause - Python `lazy-loader`, `scikit-image`, `tifffile` under BSD-3-Clause Also drops the now-redundant NOTICE-binary W3C block for xml-apis, the entire NVIDIA CUDA section in LICENSE-binary, and the Java HTML Tidy License section. Verified: the checker reports zero STALE/ADDED across JVM, Python, and npm ecosystems against a fresh `sbt dist` / frontend build / pip install. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
yangzhang75
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) ### What changes were proposed in this PR? Pin torch to PyTorch's CPU wheel on Linux x86_64 so the proprietary NVIDIA CUDA libraries (`nvidia-*-cu12`) are not installed. Other platforms fall through to plain `torch==2.8.0` from PyPI, which is already a CPU build. ### Any related issues, documentation, discussions? Closes apache#4472. ### How was this PR tested? `pip install --dry-run -r amber/operator-requirements.txt` installs no `nvidia-*` or `triton` packages on either macOS (picks plain 2.8.0) or Linux x86_64 (picks 2.8.0+cpu). ### Was this PR authored or co-authored using generative AI tooling? Generated-by: Claude Code (Claude Opus 4.7) --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Co-authored-by: Xinyuan Lin <xinyual3@uci.edu>
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What changes were proposed in this PR?
Pin torch to PyTorch's CPU wheel on Linux x86_64 so the proprietary NVIDIA CUDA libraries (
nvidia-*-cu12) are not installed.Other platforms fall through to plain
torch==2.8.0from PyPI, which is already a CPU build.Any related issues, documentation, discussions?
Closes #4472.
How was this PR tested?
pip install --dry-run -r amber/operator-requirements.txtinstalls nonvidia-*ortritonpackages on either macOS (picks plain 2.8.0) or Linux x86_64 (picks 2.8.0+cpu).Was this PR authored or co-authored using generative AI tooling?
Generated-by: Claude Code (Claude Opus 4.7)