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

[ Източник: 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).

Други пакети, свързани с libtorch-cuda-2.6

• dep: libblas3

  Basic Linear Algebra Reference implementations, shared library

  или libblas.so.3

  виртуален пакет, предлаган от libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.38)

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6-udeb

• dep: libcpp-httplib0.18 (>= 0.18.7)

  C++ HTTP/HTTPS server and client library

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

  CPU INFOrmation library (shared object)

• dep: libcublas12

  NVIDIA cuBLAS Library

• dep: libcublaslt12

  NVIDIA cuBLASLt Library

• dep: libcuda1 (>= 525)

  NVIDIA CUDA Driver Library

  или libcuda.so.1 (>= 525)

  Пакетът не е наличен

• 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~) [не 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 support library

  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

  или liblapack.so.3

  виртуален пакет, предлаган от 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~) [не ppc64el]

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

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

  SLEEF Vectorized Math Library (libraries)

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

• dep: libstdc++6 (>= 12)

  GNU Standard C++ Library v3

• 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) [не 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)

  compression library - runtime

• rec: libopenblas0

  Optimized BLAS (linear algebra) library (meta)

  или libblis3

  Пакетът не е наличен

  или libatlas3-base

  Automatically Tuned Linear Algebra Software, generic shared

  или libmkl-rt

  Intel® MKL: Single Dynamic Library (SDL)

  или libblas3

  Basic Linear Algebra Reference implementations, shared library

Изтегляне на libtorch-cuda-2.6

Изтегляне за всички налични архитектури

Архитектура	Големина на пакета	Големина след инсталиране	Файлове
amd64	482 388,9 кБ	1 425 426,0 кБ	[списък на файловете]
arm64	467 551,2 кБ	1 373 783,0 кБ	[списък на файловете]
ppc64el	474 378,4 кБ	1 434 224,0 кБ	[списък на файловете]