deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: arm64
Conflicts: python3-torch-cuda
Depends: libtorch2.5 (= 2.5.1+dfsg-1), python3 (<< 3.13), python3 (>= 3.12~), python3-expecttest,
python3-filelock, python3-fsspec, python3-hypothesis, python3-jinja2, python3-networkx,
python3-numpy (>= 1:1.25.0), python3-numpy-abi9, python3-packaging, python3-pkg-resources,
python3-psutil, python3-requests, python3-sympy | python3-supported-max (<< 3.8)
| python3-supported-min (>= 3.9), python3-sympy | python3-supported-max (<< 3.9),
python3-typing-extensions, python3-yaml, python3.12:any, python3:any, libc6 (>=
2.38), libcpp-httplib0.16 (>= 0.16.3+ds), libgcc-s1 (>= 3.0), libonnx1t64 (>=
1.16.2), libopenmpi3t64 (>= 5.0.5), libprotobuf32t64 (>= 3.21.12), libpthreadpool0
(>= 0.0~git20210507.1787867~), libstdc++6 (>= 14), libtensorpipe0 (>= 0.0~git20220513.bb1473a),
libtorch-test (= 2.5.1+dfsg-1)
Description: |-
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).
Homepage: https://pytorch.org/
Installed-Size: '66392'
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Package: python3-torch
Priority: optional
Provides: python3-torch-api-2.5
Recommends: libtorch-dev (= 2.5.1+dfsg-1), build-essential, ninja-build, pybind11-dev
Replaces: python3-torch-cuda
Section: python
Source: pytorch
Suggests: python3-pytest
Version: 2.5.1+dfsg-1
srcpkg_name: pytorch
srcpkg_version: 2.5.1+dfsg-1