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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 <debian-ai@lists.debian.org>
Changed-By: Aron Xu <aron@debian.org>
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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