Пакет: libtorch-cuda-2.1 (2.1.2+dfsg-3) [contrib]

[ Источник: 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).

Другие пакеты, относящиеся к libtorch-cuda-2.1

• dep: libavcodec60 (>= 7:6.0)

  FFmpeg library with de/encoders for audio/video codecs - runtime files

• dep: libavformat60 (>= 7:6.0)

  FFmpeg library with (de)muxers for multimedia containers - runtime files

• dep: libavutil58 (>= 7:6.0)

  FFmpeg library with functions for simplifying programming - runtime files

• dep: libblas3

  реализация алгоритмов линейной алгебры — библиотека

  или libblas.so.3

  виртуальный пакет, предоставляемый libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.36)

  библиотека GNU C: динамически подключаемые библиотеки
  также виртуальный пакет, предоставляемый libc6-udeb

• dep: libcpuinfo0 (>= 0.0~git20220819.8ec7bd9~)

  CPU INFOrmation library (shared object)

• dep: libcublas12

  NVIDIA cuBLAS Library

• dep: libcublaslt12

  NVIDIA cuBLASLt Library

• dep: libcuda1 (>= 384)

  NVIDIA CUDA Driver Library

  или libcuda.so.1 (>= 384)

  Пакет недоступен

• 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 (>= 3.1.1)

  oneAPI Deep Neural Network Library (oneDNN) (lib)

• dep: libfmt9 (>= 9.1.0+ds1)

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

• dep: libgcc-s1 (>= 3.4)

  вспомогательная библиотека GCC

• dep: libgloo-cuda-0 (>= 0.0~git20230117.1090929)

  Collective communications library (shared object)

• dep: libgomp1 (>= 4.9)

  вспомогательная библиотека GCC OpenMP (GOMP)

• dep: liblapack3

  библиотека подпрограмм линейной алгебры вер. 3 — динамическая версия

  или liblapack.so.3

  виртуальный пакет, предоставляемый libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libleveldb1d (>= 1.23)

  fast key-value storage library

• dep: liblmdb0 (>= 0.9.6)

  Lightning Memory-Mapped Database shared library

• dep: libnccl2 (>= 2.16.5)

  NVIDIA Optimized primitives for inter-GPU communication

• dep: libnuma1 (>= 2.0.11)

  библиотека управления стратегиями NUMA-систем

• dep: libnvrtc12

  CUDA Runtime Compilation (NVIDIA NVRTC Library)

• dep: libnvtoolsext1 (>= 5.0)

  NVIDIA Tools Extension Library

• dep: libonnx1 (>= 1.14.1)

  Open Neural Network Exchange (ONNX) (libs)

• dep: libopencv-calib3d406 (>= 4.6.0+dfsg)

  computer vision Camera Calibration library

• dep: libopencv-contrib406 (>= 4.6.0+dfsg)

  computer vision contrlib library

• dep: libopencv-core406 (>= 4.6.0+dfsg)

  computer vision core library

• dep: libopencv-dnn406 (>= 4.6.0+dfsg)

  computer vision Deep neural network module

• dep: libopencv-features2d406 (>= 4.6.0+dfsg)

  computer vision Feature Detection and Descriptor Extraction library

• dep: libopencv-flann406 (>= 4.6.0+dfsg)

  computer vision Clustering and Search in Multi-Dimensional spaces library

• dep: libopencv-highgui406 (>= 4.6.0+dfsg)

  computer vision High-level GUI and Media I/O library

• dep: libopencv-imgcodecs406 (>= 4.6.0+dfsg)

  computer vision Image Codecs library

• dep: libopencv-imgproc406 (>= 4.6.0+dfsg)

  computer vision Image Processing library

• dep: libopencv-video406 (>= 4.6.0+dfsg)

  computer vision Video analysis library

• dep: libopencv-videoio406 (>= 4.6.0+dfsg)

  computer vision Video I/O library

• dep: libprotobuf32 (>= 3.21.12)

  protocol buffers C++ library

• dep: libpthreadpool0 (>= 0.0~git20210507.1787867~)

  pthread-based thread pool for C/C++

• dep: libsleef3 (>= 3.3)

  SLEEF Vectorized Math Library (libraries)

• dep: libsnappy1v5 (>= 1.1.10)

  fast compression/decompression library

• dep: libstdc++6 (>= 12)

  стандартная библиотека GNU C++ версии 3

• dep: libswresample4 (>= 7:6.0)

  FFmpeg library for audio resampling, rematrixing etc. - runtime files

• dep: libswscale7 (>= 7:6.0)

  FFmpeg library for image scaling and various conversions - runtime files

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

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

• dep: libtinfo6 (>= 6)

  низкоуровневая библиотека для работы с терминалом

• dep: libxnnpack0 (>= 0.0~git20221221.51a9875)

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

• dep: libz3-4 (>= 4.8.12)

  theorem prover from Microsoft Research - runtime libraries

• dep: libzmq5 (>= 3.2.3+dfsg)

  lightweight messaging kernel (shared library)

• dep: libzstd1 (>= 1.5.5)

  быстрый алгоритм сжатия без потерь

• dep: nvidia-cudnn (>= 8.9.2.26~)

  NVIDIA CUDA Deep Neural Network library (install script)

• dep: zlib1g (>= 1:1.2.0)

  библиотека сжатия

• rec: libopenblas0

  Optimized BLAS (linear algebra) library (meta)

  или libblis3

  Пакет недоступен

  или libatlas3-base

  автоматически настроенное ПО для линейной алгебры, общие файлы

  или libmkl-rt

  Intel® MKL: Single Dynamic Library (SDL)

  или libblas3

  реализация алгоритмов линейной алгебры — библиотека

Загрузка libtorch-cuda-2.1

Загрузить для всех доступных архитектур

Архитектура	Размер пакета	В установленном виде	Файлы
amd64	165 431,0 Кб	567 728,0 Кб	[список файлов]