Accepted pytorch 2.14.1+dfsg-1~exp1 (arm64 source) into experimental

Debian FTP Masters Sat, 10 Oct 2026 23:12:12 -0700
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512

Format: 1.8
Date: Thu, 08 Oct 2026 18:00:33 +0800
Binary: libtorch2.14 libtorch2.14-dbgsym libtorch-dev libtorch-test 
libtorch-test-dbgsym python3-torch python3-torch-dbgsym
Source: pytorch
Architecture: arm64 source
Version: 2.14.1+dfsg-1~exp1
Distribution: experimental
Urgency: medium
Maintainer: Debian Deep Learning Team <[email protected]>
Changed-By: Aron Xu <[email protected]>
Description: 
 libtorch2.14 - Tensors and Dynamic neural networks in Python (Shared Objects)
 libtorch-dev - Tensors and Dynamic neural networks in Python (Development 
Files)
 libtorch-test - Tensors and Dynamic neural networks in Python (Test Binaries)
 python3-torch - Tensors and Dynamic neural networks in Python (Python 
Interface)
Changes:
 pytorch (2.14.1+dfsg-1~exp1) experimental; urgency=medium
 .
   * New upstream release.
   * d/patches/2000-version.patch: rebase onto 2.14.1.
   * Incorporate concurrent packaging changes recorded with their original
     credits in 2.12.1+dfsg-2 below.
   * d/{control,control.cuda,control.rocm,rules}: bump SONAME to 2.14 and set
     PATCH to 1 so SOVERSION_FULL matches the 2.14.1 shared objects.
   * d/control{,.cuda}: build against llvm-22, matching d/control.rocm.
   * d/patches: drop 0001-c10d-add-missing-Utils.hpp-include-in-GlooDeviceFact,
     applied upstream, and refresh the rest of the queue against 2.14.0.
   * d/p/1020-dirtyhack.patch: drop the FMT_NO_UNIQUE_ADDRESS block along with
     the vendored fmt add_subdirectory it depends on, re-seat the option
     default and SOVERSION hunks, and drop the setup.py and
     tools/setup_helpers/cmake.py hunks: 2.14.0 turned setup.py into a
     deprecation shim and removed the setuptools helpers.
   * d/p/2310-disable-non-portable-flags.patch: upstream refactored the
     -march=native logic into _get_cpu_arch_cflags() and added a
     config.cpp.march knob; suppress only the host auto-detection path.
   * d/p/1050-use-system-httplib.patch: re-seat the torch_cpu link line.
   * d/p/2090-drop-six-from-pyproject.patch: follow the rewritten
     [build-system] and [dependency-groups] tables.
   * d/p/2330-gloo-skip-half-bfloat16-without-torch-dtypes.patch: follow the
     move of ProcessGroupGlooDetail.hpp into c10d/gloo/.
   * Upstream now builds through scikit-build-core and asks for >= 1.0, while
     sid ships 0.11.6:
     - d/p/2500-scikit-build-core-0.11-compat.patch: lower the floor and write
       pyproject.toml and tools/metadata against the 0.11 schema (per-field
       metadata providers, no [tool.scikit-build.env] table); 1.x still
       accepts the result.
     - d/p/2510-license-files-dfsg.patch: drop the license-files glob that
       matches nothing after the +dfsg repack; pyproject_metadata refuses it.
     - d/rules: export CMAKE_BUILD_PARALLEL_LEVEL from MAX_JOBS and default
       CC/CXX to gcc/g++ for the CPU build, pass cmake.build-type=RelWithDebInfo
       and verbose logging through pip --config-settings so scikit-build-core
       neither falls back to Release nor strips at install time, keep its
       TMPDIR staging tree under build/, and drop the unused PYTORCH_VERSION,
       DEB_OVERRIDE_CAFFE2_PY_PATH and USE_FBGEMM_GENAI exports.
     - d/rules: feed dh_python3 the requirements files without the "-r"
       include (upstream renamed --requirement) and without the build-only
       entries, so scikit-build-core, spin, pip, build, wheel and six no
       longer leak into python3-torch's Depends (see #1136994, fixed in
       2.12.0+dfsg2-2 for the pyproject side only).
     - d/control{,.cuda,.rocm}: build-depend on python3-scikit-build-core and
       python3-typing-extensions (>= 4.10); drop the unused python3-cffi.
   * d/p/1045-filemirroring-cutedsl-optional.patch: the new
     cmake/FileMirroring.cmake aborts CUDA configures when third_party/cutlass
     is missing; the +dfsg repack strips it, so ship no vendored CuTeDSL
     kernel instead of failing.
   * d/rules: clean what a 2.14.0 build writes into the source tree
     (torch/version.py, torch/headeronly/version.h, compile_commands.json, the
     CUPTI stubs) instead of the 2.13-era in-tree install artifacts, and
     remove the copied third_party/googletest.
   * d/kineto: bump embedded snapshot to 15f4784a, the revision upstream pins
     for 2.14.0 (dynolog became an in-tree header copy; roctracer support and
     the CUPTI range profiler are gone), and re-seat both record patches for
     kineto's KINETO_BACKEND selector.
   * d/copyright: cover the newly vendored third_party/perfetto (Apache-2.0,
     with the embedded OpenBSD tree.h under BSD-2-Clause), the NVIDIA cutedsl
     templates and aten/src/ATen/native/TunableOp.h; drop the stanza for the
     deleted c10/util/Array.h; follow the kineto snapshot paths.
   * d/control{,.cuda,.rocm}: require python3-setuptools (>= 77.0.0) and
     python3-packaging (>= 24.2)
   * d/README.Source: refresh the dependency snapshot against v2.14.0.
   * d/tests/control: predict the 2.14.0 test set from the sources: upstream
     added four c10 and ATen tests, so the set goes 109 -> 113. The build
     regenerates the file and fails on any mismatch.
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pytorch_2.14.1+dfsg-1~exp1.debian.tar.xz
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pytorch_2.14.1+dfsg-1~exp1_source.buildinfo
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Description: PGP signature
Accepted pytorch 2.14.1+dfsg-1~exp1 (arm64 source) into experimental

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