deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: amd64
Conflicts: python3-torch
Depends: libtorch-cuda-2.4 (= 2.4.1-2), python3 (<< 3.13), python3 (>= 3.12~), python3-astunparse,
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-typing-extensions,
python3-yaml, python3.12:any, python3:any, libc6 (>= 2.38), libcpp-httplib0.16
(>= 0.16.3+ds), libcudart12, libgcc-s1 (>= 3.0), libnvtoolsext1 (>= 5.0), libonnx1t64
(>= 1.16.2), libprotobuf32t64 (>= 3.21.12), libpthreadpool0 (>= 0.0~git20210507.1787867~),
libstdc++6 (>= 12), libtensorpipe-cuda-0 (>= 0.0~git20220513.bb1473a), libtorch-cuda-test
(= 2.4.1-2)
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 CUDA version of PyTorch (Python interface).
Homepage: https://pytorch.org/
Installed-Size: '67045'
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Package: python3-torch-cuda
Priority: optional
Provides: python3-torch-api-2.4
Recommends: libtorch-cuda-dev (= 2.4.1-2), build-essential, ninja-build, pybind11-dev
Replaces: python3-torch
Section: contrib/python
Source: pytorch-cuda
Suggests: python3-pytest
Version: 2.4.1-2
srcpkg_name: pytorch-cuda
srcpkg_version: 2.4.1-2