pytorch 2.1.2+dfsg-2 source package in Ubuntu
Changelog
pytorch (2.1.2+dfsg-2) unstable; urgency=medium [ Petter Reinholdtsen ] * Added patch numbering scheme README and rename patches to follow suit. [ Mo Zhou ] * Correct wrong patch numberings. * Control: Does not compile against sleef from git. * Upload to unstable. (Closes: #1060097) -- Mo Zhou <email address hidden> Tue, 13 Feb 2024 13:22:09 -0500
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 | |
|---|---|---|---|---|
| Noble | proposed | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pytorch_2.1.2+dfsg-2.dsc | 3.7 KiB | 3a18c3d8c597f437bf48a031781f9ed32559ee5e5d6864b1f85c6a7a37732a7f |
| pytorch_2.1.2+dfsg.orig.tar.xz | 23.5 MiB | d06c9830a346f424595f07ef9943179905c753ffcd4eb5111f1f3a576b0b0ba7 |
| pytorch_2.1.2+dfsg-2.debian.tar.xz | 424.8 KiB | 8cd58332fc0e6610dd5ddeb597b6449e1d2e0d481936b9aa3a64a1a549f67b4a |
Available diffs
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
- 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
