pytorch 2.1.2+dfsg-4ubuntu2 source package in Ubuntu
Changelog
pytorch (2.1.2+dfsg-4ubuntu2) oracular; urgency=medium * Add explicit (build)dependency on python3-packaging. -- Matthias Klose <email address hidden> Thu, 18 Jul 2024 13:12:45 +0200
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Oracular
- Original maintainer:
- Ubuntu Developers
- Architectures:
- amd64 arm64 mips64el ppc64el s390x kfreebsd-amd64 riscv64
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pytorch_2.1.2+dfsg.orig.tar.xz | 23.5 MiB | d06c9830a346f424595f07ef9943179905c753ffcd4eb5111f1f3a576b0b0ba7 |
| pytorch_2.1.2+dfsg-4ubuntu2.debian.tar.xz | 428.3 KiB | d2d2a98b90499e4e712a7d0b212ecf1232fd12cb018f642d518fec3c4ece5b4d |
| pytorch_2.1.2+dfsg-4ubuntu2.dsc | 3.6 KiB | 62a638ce929d21c07ed1772bbea05fcb9cb284a81b6cfe9c301dd5bed4c4dc56 |
Available diffs
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
