pytorch 1.13.1+dfsg-2 source package in Ubuntu

Changelog

pytorch (1.13.1+dfsg-2) unstable; urgency=medium

  * Team upload.
  * d/tests/control: disable never passed py-tests

 -- Aron Xu <email address hidden>  Mon, 30 Jan 2023 21:54:24 +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-2.dsc 2.9 KiB 891a8ff19ce797c4870398cea0a2caa2820f5adf98834413299d92b354fd5f99
pytorch_1.13.1+dfsg.orig.tar.xz 17.5 MiB d0355588b8528566d477e6ebf1b4d9d036a6fd75711339f66b27472ce5879dc7
pytorch_1.13.1+dfsg-2.debian.tar.xz 188.9 KiB 580557f2cdff6f4f16bb432392ea45f4bf843d1b6800291cd535071e6b980e96

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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