pytorch 1.13.1+dfsg-4 source package in Ubuntu
Changelog
pytorch (1.13.1+dfsg-4) unstable; urgency=medium
[ Aron Xu ]
* Disable CI on salsa, unable to complete a build
[ Mo Zhou ]
* Switch back to Generic BLAS against correctly build against it.
We have update-alternatives for the BLAS/LAPACK backends.
https://wiki.debian.org/DebianScience/LinearAlgebraLibraries
* Only in this way can both Numpy and Torch consistently load the
same BLAS implementation, lest bad things such as threading library
collision happen.
-- Mo Zhou <email address hidden> Tue, 14 Mar 2023 13:21:37 -0400
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
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pytorch_1.13.1+dfsg-4.dsc | 3.3 KiB | 0c8c5dc52df6a728a8d00d87b5c042ec9a6b96a8ce4d58ab9de44b307b4402de |
| pytorch_1.13.1+dfsg.orig.tar.xz | 17.5 MiB | d0355588b8528566d477e6ebf1b4d9d036a6fd75711339f66b27472ce5879dc7 |
| pytorch_1.13.1+dfsg-4.debian.tar.xz | 189.2 KiB | b0b4b35b25901dc303005ab42e58f2c634e7ca978a667fdc819bc058165bd112 |
Available diffs
- diff from 1.13.1+dfsg-3 to 1.13.1+dfsg-4 (1.2 KiB)
No changes file available.
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
- libtorch1.13: No summary available for libtorch1.13 in ubuntu mantic.
No description available for libtorch1.13 in ubuntu mantic.
- libtorch1.13-dbgsym: No summary available for libtorch1.13-dbgsym in ubuntu mantic.
No description available for libtorch1.13-dbgsym in ubuntu mantic.
- 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
