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[ Източник: pytorch ]
Пакет: libtorch2.6 (2.6.0+dfsg-7)
Връзки за libtorch2.6
Ресурси за Debian:
- Доклади за грешки
- Developer Information
- Журнал на промените в Debian
- Авторски права
- Управление на кръпките в Debian
Изтегляне на пакет-източник pytorch.
Отговорници:
- Debian Deep Learning Team (Страница за QA, Пощенски архив)
- Mo Zhou (Страница за QA)
- Shengqi Chen (Страница за QA)
Външни препратки:
- Начална страница [pytorch.org]
Подобни пакети:
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 CPU-only version of PyTorch (Shared Objects).
Други пакети, свързани с libtorch2.6
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- 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, s390x]
- CPU INFOrmation library (shared object)
-
- dep: libdnnl3.6 (>= 3.6.0~) [amd64, arm64]
- 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, s390x]
- GCC support library
- dep: libgcc-s1 (>= 4.3) [amd64]
- dep: libgcc-s1 (>= 4.5) [arm64, riscv64]
-
- dep: libgloo0 (>= 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: libnuma1 (>= 2.0.11)
- Libraries for controlling NUMA policy
-
- dep: libonnx1t64 (>= 1.17.0)
- Open Neural Network Exchange (ONNX) (libs)
-
- dep: libopenmpi40 (>= 5.0.7)
- high performance message passing library -- shared library
-
- dep: libprotobuf32t64 (>= 3.21.12)
- protocol buffers C++ library
-
- dep: libpthreadpool0 (>= 0.0~git20210507.1787867~) [amd64, arm64]
- 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 (>= 14)
- GNU Standard C++ Library v3
-
- dep: libtensorpipe0 (>= 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) [amd64, arm64]
- 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: 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 libtorch2.6
Архитектура | Големина на пакета | Големина след инсталиране | Файлове |
---|---|---|---|
amd64 | 56 693,0 кБ | 276 548,0 кБ | [списък на файловете] |
arm64 | 43 508,9 кБ | 229 164,0 кБ | [списък на файловете] |
ppc64el | 48 532,5 кБ | 274 409,0 кБ | [списък на файловете] |
riscv64 | 47 697,2 кБ | 200 478,0 кБ | [списък на файловете] |
s390x | 52 077,1 кБ | 277 128,0 кБ | [списък на файловете] |