Package: python3-torch
Source: pytorch
Version: 2.12.1+dfsg-1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Installed-Size: 70311
Depends: libtorch2.12 (= 2.12.1+dfsg-1), python3 (<< 3.15), python3 (>= 3.14~), python3-build, python3-expecttest, python3-filelock, python3-fsspec, python3-hypothesis, python3-jinja2, python3-networkx, python3-numpy, python3-packaging, python3-pip, python3-psutil, python3-requests, python3-setuptools, python3-six, python3-sympy, python3-typing-extensions, python3-wheel, python3-yaml, python3.14:any, python3:any, libc6 (>= 2.38), libgcc-s1 (>= 3.0), libopenmpi40 (>= 5.0.10), libprotobuf32t64 (>= 3.21.12), libsleef3 (>= 3.6.1-1~), libstdc++6 (>= 14), libtensorpipe0 (>= 0.0~git20250815.af0118d), libtorch-test (= 2.12.1+dfsg-1)
Recommends: libtorch-dev (= 2.12.1+dfsg-1), build-essential, ninja-build, pybind11-dev
Suggests: python3-pytest
Conflicts: python3-torch-cuda
Replaces: python3-torch-cuda
Provides: python3-torch-api-2.12
Section: python
Priority: optional
Homepage: https://pytorch.org/
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).
