[ Kaynak: pytorch ]
Paket: python3-torch (2.1.2+dfsg-1)
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:
Deneysel paket
Uyarı: Bu paket deneysel dağıtımdan geliyor. Bu, paketin kararsız veya hatalı olabileceği hatta veri kaybına sebep olabileceği anlamına gelmektedir. Lütfen kullanmadan önce değişim günlüğüne ve muhtemel diğer belgelendirmeye danıştığınızdan emin olun.
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
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- dep: libc6 (>= 2.34)
- GNU C Library: Shared libraries
ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
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- dep: libgcc-s1 (>= 3.0) [riscv64 değil]
- GCC support library
- dep: libgcc-s1 (>= 3.4) [riscv64]
-
- dep: libonnx1 (>= 1.14.1)
- Open Neural Network Exchange (ONNX) (libs)
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- dep: libprotobuf32 (>= 3.21.12)
- protocol buffers C++ library
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- dep: libstdc++6 (>= 13.1)
- GNU Standard C++ Library v3
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- dep: libtorch-test (= 2.1.2+dfsg-1)
- Tensors and Dynamic neural networks in Python (Test Binaries)
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- dep: libtorch2.1 (= 2.1.2+dfsg-1)
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.12)
- dep: python3 (>= 3.11~)
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- dep: python3-astunparse
- AST unparser for Python
-
- 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 (>= 1:1.22.0)
- Python library for numerical computations (Python 3)
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- dep: python3-numpy-abi9
- Paket mevcut değil
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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)
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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: python3.11
- Interactive high-level object-oriented language (version 3.11)
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- rec: build-essential
- Informational list of build-essential packages
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- rec: libtorch-dev (= 2.1.2+dfsg-1)
- 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
python3-torch indir
| Mimari | Paket Boyutu | Kurulu Boyut | Dosyalar |
|---|---|---|---|
| amd64 | 10.701,1 kB | 58.727,0 kB | [dosya listesi] |
| arm64 | 9.697,4 kB | 57.138,0 kB | [dosya listesi] |
| riscv64 | 10.424,1 kB | 52.643,0 kB | [dosya listesi] |
| s390x | 10.155,2 kB | 57.910,0 kB | [dosya listesi] |