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libtorch

v2.1.2#2Latest

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Install

Run the following Vcpkg command to install the port.

Usage

Usage details are not available for this port.

Features

libtorch[cuda]≥v2.1.2#0
All
Build with CUDA GPU backend
Default Feature
- windows & !x86
Feature Dependencies
- cuda
  All
- cudnn
  All
- magma
  All
libtorch[dist]≥v1.12.1#0
All
Use distributed with MPI, Gloo, libuv, TensorPipe
Feature Dependencies
- gloo
  linux
- libtorch
  linux
  - libtorch[mpi]
    All
- libuv
  windows | osx
- tensorpipe
  linux | osx
libtorch[fftw3]≥v2.1.2#0
All
Build with fftw3
Default Feature
- All
Feature Dependencies
- fftw3
  All
libtorch[leveldb]≥v1.12.1#0
All
Build with LevelDB
Feature Dependencies
- leveldb
  All
- snappy
  All
libtorch[llvm]≥v2.1.2#0
All
Build with LLVM
Feature Dependencies
- llvm
  All
libtorch[mpi]≥v2.1.2#0
All
Build with MPI
Feature Dependencies
- mpi
  All
libtorch[nnpack]≥v1.12.1#0
linux | osx
Build with NNPack
Feature Dependencies
- nnpack
  All
libtorch[opencv]≥v1.12.1#0
All
Build with OpenCV 3.x
Default Feature
- All
Feature Dependencies
- opencv
  All
libtorch[vulkan]≥v1.12.1#0
All
Build with Vulkan GPU backend
Feature Dependencies
- vulkan
  All
- vulkan-loader
  All
- vulkan-memory-allocator
  All
libtorch[xnnpack]≥v1.12.1#0
All
Build with XNNPack
Default Feature
- All
Feature Dependencies
- fxdiv
  !windows
- xnnpack
  All
libtorch[zstd]≥v1.12.1#0
All
Build with ZSTD
Default Feature
- All
Feature Dependencies
- zstd
  All

Dependencies

Version

v2.1.2#2

Publication

Mar 25, 2024

Supports

(windows & !static) | osx | linux

Homepage

Subtree

License

Complex license

Definition

Manifest