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pytorch package

pytorch 2.1.2+dfsg-4ubuntu1 source package in Ubuntu

Changelog

pytorch (2.1.2+dfsg-4ubuntu1) oracular; urgency=medium

  * Fix FTBFS with LLVM 18. (LP: #2067720)
    - d/p/0011-Update-caffe2-with-LLVM-18-API-change-109408.patch:
    - d/p/0012-Fix-build-for-llvm-18-115652.patch:
    - d/p/0013-Update-for-an-API-change-in-LLVM-18.-117086.patch:
    - d/p/0014-Replaced-getInt8PtrTy-with-getUnqual-113455.patch:
    - d/p/0015-Update-apis-incompatible-with-llvm-versions-in-codeg.patch:
    - d/p/0016-Revert-upstream-commit-32643bc9266271ebf3b935573189e.patch:
      Backport patches from upstream to fix the issue.

 -- Sergio Durigan Junior <email address hidden>  Mon, 10 Jun 2024 14:38:33 -0400

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Uploaded by:
Sergio Durigan Junior
Uploaded to:
Oracular
Original maintainer:
Ubuntu Developers
Architectures:
amd64 arm64 mips64el ppc64el s390x kfreebsd-amd64 riscv64
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
pytorch_2.1.2+dfsg.orig.tar.xz 23.5 MiB d06c9830a346f424595f07ef9943179905c753ffcd4eb5111f1f3a576b0b0ba7
pytorch_2.1.2+dfsg-4ubuntu1.debian.tar.xz 428.2 KiB fca596fa4c556246dedcf2a1a91a380acac6fb784524075d8405d764409fd500
pytorch_2.1.2+dfsg-4ubuntu1.dsc 3.6 KiB cbd8027c70d85a41dd4eb064be657562955531e7a026ad710a65a7521e89299b

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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 (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 (Test Binaries).

libtorch-test-dbgsym: debug symbols for libtorch-test
libtorch2.1: 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 (Shared Objects).

libtorch2.1-dbgsym: debug symbols for libtorch2.1
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 (Python interface).

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