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libtorch v2.1.2

Created
Updated

Tensors and Dynamic neural networks in Python with strong GPU acceleration

# License

Unspecified

# Supported Platforms

(windows & !static) | osx | linux

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

# Features

Default features: cuda , opencv , zstd

# cuda

Build with CUDA GPU backend

Dependencies:
and 8 transitive dependencies:
Host Dependencies:
2 transitive dependencies:

# dist

Use distributed with MPI, Gloo, libuv, TensorPipe

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

# leveldb

Build with LevelDB

Dependencies:

No transitive dependencies.

Host Dependencies:
2 transitive dependencies:

# llvm

Build with LLVM

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

# mpi

Build with MPI

Dependencies:
and 2 transitive dependencies:
Host Dependencies:

No dependencies.

# nnpack

Build with NNPack

Supports: linux | osx
  • ✅ linux
  • ✅ osx
  • ❌ windows-dynamic
Dependencies:
and 5 transitive dependencies:
Host Dependencies:
2 transitive dependencies:

# opencv default

Build with OpenCV 3.x

Dependencies:
and 49 transitive dependencies:
Host Dependencies:
6 transitive dependencies:

# vulkan

Build with Vulkan GPU backend

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

# zstd default

Build with ZSTD

Dependencies:

No transitive dependencies.

Host Dependencies:
2 transitive dependencies:

# Dependencies

and 10 transitive dependencies:

# Host Dependencies

and 18 transitive dependencies:

# Dependents

# Host Dependents

No dependents.

# Contributors

  • PARK DongHa's avatar PARK DongHa
  • jim wang's avatar jim wang
  • Lily Wang's avatar Lily Wang
  • MonicaLiu's avatar MonicaLiu
  • Ómar Högni Guðmarsson's avatar Ómar Högni Guðmarsson
  • Alexander Neumann's avatar Alexander Neumann
  • Jia Yue Hua's avatar Jia Yue Hua
  • Billy O'Neal's avatar Billy O'Neal
  • miyanyan's avatar miyanyan

# Changelog

# Source