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libtorchv2.13.0

Updated

Tensors and Dynamic neural networks in Python with strong GPU acceleration

#License

Not declared in the port manifest

#Supported Platforms

(windows & !static) | osx | linux

  • ✅linux
  • ✅osx
  • ✅windows-dynamic
  • ❌uwp
  • ❌windows-static

#Features

Default feature: blas

#blasdefault

BLAS/LAPACK backend (openblas on linux/windows, Accelerate on macOS). On by default; disable with [core,...] when using [mkl] instead.

Dependencies:
and 4 transitive dependencies:
Host Dependencies:
2 transitive dependencies:

#cuda

Build with CUDA GPU backend

Platforms: (windows & x64 & !staticcrt) | (linux & x64)
  • ✅linux
  • ✅windows-x64-dynamic
  • ❌osx
  • ❌windows-arm64-dynamic
  • ❌windows-x86-dynamic
Dependencies:
and 9 transitive dependencies:
Host Dependencies:
2 transitive dependencies:

#dist

Use distributed training/inference (Gloo, MPI, libuv, TensorPipe)

Platforms: (linux & x64) | windows
  • ✅linux
  • ✅windows-dynamic
  • ❌osx
Dependencies:
and 4 transitive dependencies:
Host Dependencies:
6 transitive dependencies:

#gflags

Build with gflags

Dependencies:

No transitive dependencies.

Host Dependencies:
2 transitive dependencies:

#glog

Build with glog

Dependencies:
and one transitive dependency:
Host Dependencies:
2 transitive dependencies:

#llvm

Build with LLVM

Dependencies:
and 3 transitive dependencies:
Host Dependencies:
3 transitive dependencies:

#mkl

Intel performance backend: use oneMKL for BLAS/LAPACK and enable oneDNN (MKLDNN) CPU acceleration via ideep. Mutually exclusive with [blas] (the openblas default-feature) — install as libtorch[core,mkl,...] to skip the openblas backend, otherwise both backends get built and only MKL is linked.

Platforms: (windows | linux) & x64 & !uwp
  • ✅linux
  • ✅windows-x64-dynamic
  • ❌osx
  • ❌windows-arm64-dynamic
  • ❌windows-x86-dynamic
Dependencies:

No transitive dependencies.

Host Dependencies:
2 transitive dependencies:

#vulkan

Build with Vulkan GPU backend

Dependencies:
and one transitive dependency:
Host Dependencies:
and 5 transitive dependencies:

#Dependencies

and 18 transitive dependencies:

#Host Dependencies

and 7 transitive dependencies:

#Used By

No ports use this.

#Host Tool For

No ports use this.

#Contributors

  • PARK DongHa's avatarPARK DongHa
  • jim wang's avatarjim wang
  • Lily Wang's avatarLily Wang
  • MonicaLiu's avatarMonicaLiu
  • Ómar Högni Guðmarsson's avatarÓmar Högni Guðmarsson
  • Alexander Neumann's avatarAlexander Neumann
  • Jia Yue Hua's avatarJia Yue Hua
  • Billy O'Neal's avatarBilly O'Neal
  • miyanyan's avatarmiyanyan
  • JoergAtGithub's avatarJoergAtGithub
  • Stefano Sinigardi's avatarStefano Sinigardi
  • Mengna-Li's avatarMengna-Li
  • Steve Brain's avatarSteve Brain

#Changelog

  • a29317a
    a29317a[libtorch] Update to 2.13 (#52815)
  • 32305df
    32305df[libtorch] update to 2.12 with dependencies (#52108)
  • 29ff5b8
    29ff5b8[libtorch] [xnnpack] [qnnpack] [cpuinfo][fbgemm] (#46649)
  • 52d831c
    52d831c[libtorch] remove cuda from default features (#42917)
  • cbf6fe2
    cbf6fe2[opencv] add missing features to defaults and improve test matrix (#42371)
  • e1118ae
    e1118ae[libtorch] Include <chrono> for high_resolution_clock (#43234)
  • 4413468
    4413468[sleef] Update to version 3.7 (#42706)
  • 8cbc1d7
    8cbc1d7[Libtorch] remove abs compiler path (#42729)
  • 88a0bf8
    88a0bf8[onnx] Update onnx to 1.16.2 and fix downstream (#40067)
  • 6152303
    6152303[libtorch] Fix libtorch[core] compilation error (#40795)
Show 12 earlier changes

#Port Files