Paket: libtorch-cuda-2.6 (2.6.0+dfsg-6) [contrib]

[ Källkod: pytorch-cuda  ]

Tensors and Dynamic neural networks in Python (Shared Objects)

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 (Shared Objects).

Andra paket besläktade med libtorch-cuda-2.6

• dep: libblas3

  Basic Linear Algebra Reference implementations, shared library

  eller libblas.so.3

  virtuellt paket som tillhandahålls av libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.38)

  GNU C-bibliotek: Delade bibliotek
  också ett virtuellt paket som tillhandahålls av libc6-udeb

• dep: libcpp-httplib0.18 (>= 0.18.7)

  C++ HTTP/HTTPS server and client library

• dep: libcpuinfo0 (>= 0.0~git20230113.6481e8b~) [ej ppc64el]

  CPU INFOrmation library (shared object)

• dep: libcublas12

  NVIDIA cuBLAS Library

• dep: libcublaslt12

  NVIDIA cuBLASLt Library

• dep: libcuda1 (>= 525)

  NVIDIA CUDA Driver Library

  eller libcuda.so.1 (>= 525)

  Paketet inte tillgängligt

• dep: libcudart12

  NVIDIA CUDA Runtime Library

• dep: libcufft11

  NVIDIA cuFFT Library

• dep: libcurand10

  NVIDIA cuRAND Library

• dep: libcusolver11

  NVIDIA cuSOLVER Library

• dep: libcusparse12

  NVIDIA cuSPARSE Library

• dep: libdnnl3.6 (>= 3.6.0~) [ej ppc64el]

  oneAPI Deep Neural Network Library (oneDNN) (lib)

• dep: libfmt10 (>= 10.1.1+ds1)

  fast type-safe C++ formatting library -- library

• dep: libgcc-s1 (>= 4.2) [ppc64el]

  GCC stödbibliotek

  dep: libgcc-s1 (>= 4.3) [amd64]

  dep: libgcc-s1 (>= 4.5) [arm64]

• dep: libgloo-cuda-0 (>= 0.0~git20231202.5354032)

  Collective communications library (shared object)

• dep: libgomp1 (>= 4.9)

  GCC OpenMP (GOMP) support library

• dep: liblapack3

  Library of linear algebra routines 3 - shared version

  eller liblapack.so.3

  virtuellt paket som tillhandahålls av libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libnccl2 (>= 2.22.3)

  NVIDIA Optimized primitives for inter-GPU communication

• dep: libnuma1 (>= 2.0.11)

  Libraries for controlling NUMA policy

• dep: libnvrtc12

  CUDA Runtime Compilation (NVIDIA NVRTC Library)

• dep: libnvtoolsext1 (>= 5.0)

  NVIDIA Tools Extension Library

• dep: libonnx1t64 (>= 1.17.0)

  Open Neural Network Exchange (ONNX) (libs)

• dep: libprotobuf32t64 (>= 3.21.12)

  protocol buffers C++ library

• dep: libpthreadpool0 (>= 0.0~git20210507.1787867~) [ej ppc64el]

  pthread-based thread pool for C/C++ (shared object)

• dep: libsleef3 (>= 3.6.1) [ej amd64]

  SLEEF Vectorized Math Library (libraries)

  dep: libsleef3 (>= 3.6.1-1~) [amd64]

• dep: libstdc++6 (>= 12)

  GNU standardbibliotek v3 för C++

• dep: libtensorpipe-cuda-0 (>= 0.0~git20220513.bb1473a)

  tensor-aware point-to-point communication primitive for machine learning

• dep: libvulkan1 (>= 1.2.131.2)

  Vulkan loader library

• dep: libxnnpack0.20241108 (>= 0.0~git20241108.4ea82e5) [ej ppc64el]

  High-efficiency floating-point neural network inference operators (libs)

• dep: libz3-4 (>= 4.13.3)

  theorem prover from Microsoft Research - runtime libraries

• dep: libzstd1 (>= 1.5.5)

  fast lossless compression algorithm

• dep: nvidia-cudnn (>= 9.0.0.312~)

  NVIDIA CUDA Deep Neural Network library (install script)

• dep: zlib1g (>= 1:1.2.0)

  Kompressionsbibliotek - körtidspaket

• rec: libopenblas0

  Optimized BLAS (linear algebra) library (meta)

  eller libblis3

  Paketet inte tillgängligt

  eller libatlas3-base

  Automatically Tuned Linear Algebra Software, generic shared

  eller libmkl-rt

  Intel® MKL: Single Dynamic Library (SDL)

  eller libblas3

  Basic Linear Algebra Reference implementations, shared library

Hämta libtorch-cuda-2.6

Hämtningar för alla tillgängliga arkitekturer

Arkitektur	Paketstorlek	Installerad storlek	Filer
amd64	482.388,9 kbyte	1.425.426,0 kbyte	[filförteckning]
arm64	467.551,2 kbyte	1.373.783,0 kbyte	[filförteckning]
ppc64el	474.378,4 kbyte	1.434.224,0 kbyte	[filförteckning]