[ trixie ]
[ sid ]
[ ソース: pytorch-cuda ]
パッケージ: python3-torch-cuda (2.6.0+dfsg-6) [contrib]
python3-torch-cuda に関するリンク
Debian の資源:
pytorch-cuda ソースパッケージをダウンロード:
- [pytorch-cuda_2.6.0+dfsg-6.dsc]
- [pytorch-cuda_2.6.0+dfsg.orig.tar.xz]
- [pytorch-cuda_2.6.0+dfsg-6.debian.tar.xz]
メンテナ:
外部の資源:
- ホームページ [pytorch.org]
類似のパッケージ:
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).
その他の python3-torch-cuda 関連パッケージ
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- dep: libc6 (>= 2.38)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
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- dep: libcudart12
- NVIDIA CUDA Runtime Library
-
- dep: libgcc-s1 (>= 3.0)
- GCC 共有ライブラリ
-
- dep: libprotobuf32t64 (>= 3.21.12)
- protocol buffers C++ library
-
- dep: libpthreadpool0 (>= 0.0~git20210507.1787867~) [ppc64el 以外]
- pthread-based thread pool for C/C++ (shared object)
-
- dep: libstdc++6 (>= 12)
- GNU 標準 C++ ライブラリ v3
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- dep: libtensorpipe-cuda-0 (>= 0.0~git20220513.bb1473a)
- tensor-aware point-to-point communication primitive for machine learning
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- dep: libtorch-cuda-2.6 (= 2.6.0+dfsg-6)
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: libtorch-cuda-test (= 2.6.0+dfsg-6)
- Tensors and Dynamic neural networks in Python (Test Binaries)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.13~)
-
- dep: python3-expecttest
- Expect tests in Python (also known as "golden" tests)
-
- dep: python3-filelock
- platform independent file locking module
-
- dep: python3-fsspec
- specification that Python filesystems should adhere to (Python 3)
-
- dep: python3-hypothesis
- advanced Quickcheck style testing library for Python 3
-
- dep: python3-jinja2
- small but fast and easy to use stand-alone template engine
-
- dep: python3-networkx
- tool to create, manipulate and study complex networks (Python3)
-
- dep: python3-numpy
- Python library for numerical computations (Python 3)
-
- dep: python3-packaging
- core utilities for python3 packages
-
- dep: python3-pkg-resources
- pkg_resources を用いたパッケージ検索およびリソースアクセス
-
- dep: python3-psutil
- module providing convenience functions for managing processes (Python3)
-
- dep: python3-requests
- 人間のために作られた、Python 3 向けの洗練された単純な HTTP ライブラリ
-
- dep: python3-sympy
- Computer Algebra System (CAS) in Python (Python 3)
- または python3-supported-max (<< 3.9)
- パッケージは利用できません
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- dep: python3-typing-extensions
- Backported and Experimental Type Hints for Python
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- dep: python3-yaml
- YAML parser and emitter for Python3
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- dep: python3.13
- Interactive high-level object-oriented language (version 3.13)
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- rec: build-essential
- build-essential なパッケージの一覧情報
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- rec: libtorch-cuda-dev (= 2.6.0+dfsg-6)
- Tensors and Dynamic neural networks in Python (Development Files)
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- rec: ninja-build
- small build system closest in spirit to Make
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- rec: pybind11-dev
- seamless operability between C++11 and Python
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- sug: python3-pytest
- Simple, powerful testing in Python3