[ Източник: pytorch ]
Пакет: python3-torch (1.7.1-7)
Връзки за python3-torch
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Изтегляне на пакет-източник pytorch.
Отговорници:
Външни препратки:
- Начална страница [pytorch.org]
Подобни пакети:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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 and Caffe2 (Python interface).
Други пакети, свързани с python3-torch
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- dep: libc6 (>= 2.30)
- GNU C Library: Shared libraries
също и виртуален пакет, предлаган от libc6-udeb
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- dep: libdnnl2 (>= 2.0) [amd64]
- oneAPI Deep Neural Network Library (oneDNN) (lib)
-
- dep: libgcc-s1 (>= 3.0) [amd64, s390x]
- GCC support library
- dep: libgcc-s1 (>= 3.5) [armhf]
- dep: libgcc-s1 (>= 4.2) [arm64, ppc64el]
-
- dep: libgloo0 (>= 0.0~git20200918.3dc0328) [не armhf]
- Collective communications library (shared object)
-
- dep: libgoogle-glog0v5 (>= 0.4.0)
- library that implements application-level logging.
-
- dep: libonnx1 (>= 1.7.0+dfsg)
- Open Neural Network Exchange (ONNX) (libs)
-
- dep: libprotobuf23 (>= 3.12.4)
- protocol buffers C++ library
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- dep: libstdc++6 (>= 9)
- GNU Standard C++ Library v3
-
- dep: libtorch1.7 (= 1.7.1-7)
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
- dep: libunwind8 [amd64]
- library to determine the call-chain of a program - runtime
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.10)
- dep: python3 (>= 3.9~)
-
- dep: python3-future
- Clean single-source support for Python 3 and 2 - Python 3.x
-
- dep: python3-numpy (>= 1:1.16.0~rc1)
- Fast array facility to the Python 3 language
-
- dep: python3-numpy-abi9
- виртуален пакет, предлаган от python3-numpy
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- dep: python3-pkg-resources
- Package Discovery and Resource Access using pkg_resources
-
- dep: python3-requests
- elegant and simple HTTP library for Python3, built for human beings
-
- dep: python3-six
- Python 2 and 3 compatibility library (Python 3 interface)
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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
-
- dep: python3.9
- Interactive high-level object-oriented language (version 3.9)
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- rec: build-essential
- Informational list of build-essential packages
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- rec: libtorch-dev (= 1.7.1-7)
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
- 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-hypothesis
- advanced Quickcheck style testing library for Python 3
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- sug: python3-pytest
- Simple, powerful testing in Python3
Изтегляне на python3-torch
| Архитектура | Големина на пакета | Големина след инсталиране | Файлове |
|---|---|---|---|
| amd64 | 6 014,0 кБ | 31 382,0 кБ | [списък на файловете] |
| arm64 | 5 298,5 кБ | 29 426,0 кБ | [списък на файловете] |
| armhf | 5 111,5 кБ | 23 484,0 кБ | [списък на файловете] |
| ppc64el | 5 701,0 кБ | 33 700,0 кБ | [списък на файловете] |
| s390x | 5 374,6 кБ | 31 332,0 кБ | [списък на файловете] |