[ sid ]
[ Източник: pytorch-cuda ]
Пакет: python3-torch-cuda (2.4.1-4) [contrib]
Връзки за python3-torch-cuda
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Изтегляне на пакет-източник pytorch-cuda.
Отговорници:
Външни препратки:
- Начална страница [pytorch.org]
Подобни пакети:
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).
Други пакети, свързани с python3-torch-cuda
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- dep: libc6 (>= 2.38)
- GNU C Library: Shared libraries
също и виртуален пакет, предлаган от libc6-udeb
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- dep: libcpp-httplib0.16 (>= 0.16.3+ds)
- C++ HTTP/HTTPS server and client library
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- dep: libcudart12
- NVIDIA CUDA Runtime Library
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- dep: libgcc-s1 (>= 3.0)
- GCC support library
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- dep: libnvtoolsext1 (>= 5.0)
- NVIDIA Tools Extension Library
-
- dep: libonnx1t64 (>= 1.16.2)
- Open Neural Network Exchange (ONNX) (libs)
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- dep: libprotobuf32t64 (>= 3.21.12)
- protocol buffers C++ library
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- dep: libpthreadpool0 (>= 0.0~git20210507.1787867~)
- pthread-based thread pool for C/C++ (shared object)
-
- dep: libstdc++6 (>= 12)
- GNU Standard C++ Library v3
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- dep: libtensorpipe-cuda-0 (>= 0.0~git20220513.bb1473a)
- tensor-aware point-to-point communication primitive for machine learning
-
- dep: libtorch-cuda-2.4 (= 2.4.1-4)
- Tensors and Dynamic neural networks in Python (Shared Objects)
-
- dep: libtorch-cuda-test (= 2.4.1-4)
- Tensors and Dynamic neural networks in Python (Test Binaries)
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.13)
- dep: python3 (>= 3.12~)
-
- 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
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- dep: python3-networkx
- tool to create, manipulate and study complex networks (Python3)
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- dep: python3-numpy (>= 1:1.25.0)
- Fast array facility to the Python language (Python 3)
-
- dep: python3-numpy-abi9
- виртуален пакет, предлаган от python3-numpy
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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)
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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: python3.12
- Interactive high-level object-oriented language (version 3.12)
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- rec: build-essential
- Informational list of build-essential packages
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- rec: libtorch-cuda-dev (= 2.4.1-4)
- Tensors and Dynamic neural networks in Python (Development Files)
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- rec: ninja-build
- small build system closest in spirit to Make
-
- rec: pybind11-dev
- seamless operability between C++11 and Python
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- sug: python3-pytest
- Simple, powerful testing in Python3
Изтегляне на python3-torch-cuda
Архитектура | Големина на пакета | Големина след инсталиране | Файлове |
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arm64 | 10 376,3 кБ | 64 310,0 кБ | [списък на файловете] |