[ Kaynak: pytorch ]
Paket: python3-torch (2.6.0+dfsg-9)
python3-torch için bağlantılar
Debian Kaynakları:
- Hata Raporları
- Developer Information
- Debian Değişim Günlüğü
- Telif Hakkı Dosyası
- Debian Yama Takipçisi
pytorch Kaynak Paketini İndir:
Geliştiriciler:
Dış Kaynaklar:
- Ana Sayfa [pytorch.org]
Benzer paketler:
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).
python3-torch ile İlgili Diğer Paketler
|
|
|
|
-
- dep: libc6 (>= 2.38)
- GNU C Library: Shared libraries
ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
-
- dep: libgcc-s1 (>= 3.0) [riscv64 değil]
- GCC support library
- dep: libgcc-s1 (>= 3.4) [riscv64]
-
- dep: libopenmpi40 (>= 5.0.8)
- high performance message passing library -- shared library
-
- dep: libprotobuf32t64 (>= 3.21.12)
- protocol buffers C++ library
-
- dep: libpthreadpool0 (>= 0.0~git20210507.1787867~) [amd64, arm64]
- pthread-based thread pool for C/C++ (shared object)
-
- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
-
- dep: libtensorpipe0 (>= 0.0~git20250815.af0118d)
- tensor-aware P2P comm primitive for machine learning (shared library)
-
- dep: libtorch-test (= 2.6.0+dfsg-9)
- Tensors and Dynamic neural networks in Python (Test Binaries)
-
- dep: libtorch2.6 (= 2.6.0+dfsg-9)
- Tensors and Dynamic neural networks in Python (Shared Objects)
-
- 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
- Package Discovery and Resource Access using pkg_resources
-
- dep: python3-psutil
- module providing convenience functions for managing processes (Python3)
-
- dep: python3-requests
- elegant and simple HTTP library for Python3, built for human beings
-
- dep: python3-sympy
- Computer Algebra System (CAS) in Python (Python 3)
- ya da python3-supported-max (<< 3.9)
- Paket mevcut değil
-
- dep: python3-typing-extensions
- Backported and Experimental Type Hints for Python
-
- dep: python3-yaml
- YAML parser and emitter for Python3
-
- dep: python3.13
- Interactive high-level object-oriented language (version 3.13)
-
- rec: build-essential
- Informational list of build-essential packages
-
- rec: libtorch-dev (= 2.6.0+dfsg-9)
- Tensors and Dynamic neural networks in Python (Development Files)
-
- rec: ninja-build
- small build system closest in spirit to Make
-
- rec: pybind11-dev
- seamless operability between C++11 and Python
-
- sug: python3-pytest
- Simple, powerful testing in Python3
python3-torch indir
| Mimari | Paket Boyutu | Kurulu Boyut | Dosyalar |
|---|---|---|---|
| amd64 | 11.149,9 kB | 66.396,0 kB | [dosya listesi] |
| arm64 | 10.175,9 kB | 65.021,0 kB | [dosya listesi] |
| ppc64el | 10.555,2 kB | 69.245,0 kB | [dosya listesi] |
| riscv64 | 10.938,6 kB | 60.560,0 kB | [dosya listesi] |
| s390x | 10.667,4 kB | 65.380,0 kB | [dosya listesi] |