[ trixie ]
[ sid ]
[ Source: pytorch-cuda ]
Paketti: python3-torch-cuda (2.6.0+dfsg-6) [contrib]
Links for python3-torch-cuda
Debian-palvelut:
Imuroi lähdekoodipaketti pytorch-cuda:
- [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]
Ylläpitäjät:
External Resources:
- Kotisivu [pytorch.org]
Samankaltaisia paketteja:
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).
Muut pakettiin python3-torch-cuda liittyvät paketit
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- dep: libc6 (>= 2.38)
- GNU-C-kirjasto: jaetut kirjastot
myös näennäispaketti, jonka toteuttaa libc6-udeb
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- dep: libcudart12
- NVIDIA CUDA Runtime Library
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- dep: libgcc-s1 (>= 3.0)
- GCC:n apukirjasto
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- dep: libprotobuf32t64 (>= 3.21.12)
- protocol buffers C++ library
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- dep: libpthreadpool0 (>= 0.0~git20210507.1787867~) [ei ppc64el]
- pthread-based thread pool for C/C++ (shared object)
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- dep: libstdc++6 (>= 12)
- GNU standardi C++ -kirjasto, versio 3
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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~)
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- dep: python3-expecttest
- Expect tests in Python (also known as "golden" tests)
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- dep: python3-filelock
- platform independent file locking module
-
- dep: python3-fsspec
- specification that Python filesystems should adhere to (Python 3)
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- 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
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- dep: python3-networkx
- tool to create, manipulate and study complex networks (Python3)
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- dep: python3-numpy
- Python library for numerical computations (Python 3)
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- dep: python3-packaging
- core utilities for python3 packages
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- dep: python3-pkg-resources
- Package Discovery and Resource Access using pkg_resources
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- dep: python3-psutil
- module providing convenience functions for managing processes (Python3)
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- dep: python3-requests
- elegant and simple HTTP library for Python3, built for human beings
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- dep: python3-sympy
- Computer Algebra System (CAS) in Python (Python 3)
- tai python3-supported-max (<< 3.9)
- Paketti ei saatavilla
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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
- Lista kääntämisen kannalta olennaisista paketeista
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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
Imuroi python3-torch-cuda
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
---|---|---|---|
amd64 | 10,970.3 kt | 66,134.0 kt | [tiedostoluettelo] |
arm64 | 10,062.1 kt | 63,652.0 kt | [tiedostoluettelo] |
ppc64el | 10,483.6 kt | 68,845.0 kt | [tiedostoluettelo] |