Package: python3-torch-cuda (2.1.2+dfsg-3 and others) [contrib]

[ Source: pytorch-cuda  ]

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).

Other Packages Related to python3-torch-cuda

• dep: libc6 (>= 2.34)

  GNU C könyvtár: megosztott könyvtárak
  also a virtual package provided by libc6-udeb

• dep: libcudart12

  NVIDIA CUDA Runtime Library

• dep: libgcc-s1 (>= 3.0)

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• dep: libnvtoolsext1 (>= 5.0)

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• dep: libonnx1 (>= 1.13.1) [ppc64el]

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  dep: libonnx1 (>= 1.14.1) [amd64]

• dep: libprotobuf32 (>= 3.21.12)

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• dep: libstdc++6 (>= 12)

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• dep: libtorch-cuda-2.0 (= 2.0.1+dfsg-5) [ppc64el]

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: libtorch-cuda-2.1 (= 2.1.2+dfsg-3) [amd64]

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: libtorch-cuda-test (= 2.0.1+dfsg-5) [ppc64el]

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  dep: libtorch-cuda-test (= 2.1.2+dfsg-3) [amd64]

• dep: python3

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  dep: python3 (<< 3.12)

  dep: python3 (>= 3.11~)

• dep: python3-astunparse

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• dep: python3-expecttest [amd64]

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• dep: python3-numpy (>= 1:1.22.0)

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• dep: python3-numpy-abi9

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• dep: python3-sympy

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• dep: python3-yaml

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• dep: python3.11

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• rec: build-essential

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• rec: libtorch-cuda-dev (= 2.0.1+dfsg-5) [ppc64el]

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  rec: libtorch-cuda-dev (= 2.1.2+dfsg-3) [amd64]

• rec: ninja-build

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• rec: pybind11-dev

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• sug: python3-pytest

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Download python3-torch-cuda

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
amd64	2.1.2+dfsg-3	12,116.6 kB	66,903.0 kB	[list of files]
ppc64el	2.0.1+dfsg-5	10,457.6 kB	64,720.0 kB	[list of files]