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pytorch package

pytorch 1.13.1+dfsg-1 source package in Ubuntu

Changelog

pytorch (1.13.1+dfsg-1) unstable; urgency=medium

  [ Aron Xu ]
  * Team upload.
  * New upstream version 1.13.1 (Closes: #1027851)
    Fixes CVE-2022-45907.
  * d/rules: remove only build/ directory
  * d/rules: USE_ITT = OFF
  * Bump SOVERSION to 1.13
  * d/control: add versioned build-dep to ideep
  * debian: carry kineto 20210224.0703c78 for header-only use
  * dirtyhack.patch: refresh and add hack of kineto
  * 80272.patch: merged upstream, removing
  * cherry-pick upstream py3.11 compatibility patches
  * Update autopkgtest control file
  * d/upstream/metadata: add Bug-Database

  [ Andreas Tille ]
  * Fix watch file

  [ Mo Zhou ]
  * Add fmtlib-revert.patch
  * Update flatbuffers patch

 -- Aron Xu <email address hidden>  Sat, 28 Jan 2023 23:31:42 +0800

Upload details

Uploaded by:
Debian Deep Learning Team
Uploaded to:
Sid
Original maintainer:
Debian Deep Learning Team
Architectures:
amd64 arm64 mips64el ppc64el s390x kfreebsd-amd64 riscv64
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
pytorch_1.13.1+dfsg-1.dsc 3.0 KiB f5d8ac2fb8ec5d8c14af4fa0032265b59afc7dd87238ce35868efcf475d843db
pytorch_1.13.1+dfsg.orig.tar.xz 17.5 MiB d0355588b8528566d477e6ebf1b4d9d036a6fd75711339f66b27472ce5879dc7
pytorch_1.13.1+dfsg-1.debian.tar.xz 189.5 KiB 448f67c093e161fbe80da7eeea3980954ad340e8eb914f976b722fd1bcfa15b4

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Binary packages built by this source

libtorch-dev: Tensors and Dynamic neural networks in Python (Development Files)

 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Development files).

libtorch-test: Tensors and Dynamic neural networks in Python (Test Binaries)

 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Test Binaries).

libtorch-test-dbgsym: debug symbols for libtorch-test
libtorch1.13: Tensors and Dynamic neural networks in Python (Shared Objects)

 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Shared Objects).

libtorch1.13-dbgsym: debug symbols for libtorch1.13
python3-torch: Tensors and Dynamic neural networks in Python (Python Interface)

 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Python interface).

python3-torch-dbgsym: debug symbols for python3-torch