libtorch 2.7.1

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Dependencies

vcpkg-cmake-config

vcpkg-get-python-packages

Used By

Features

cuda - Build with CUDA GPU backend

Dependencies

features: [cuda]

platform: linux

platform: linux

features: [cuda]

platform: linux

dist - Use distributed with MPI, Gloo, libuv, TensorPipe

Dependencies

platform: linux

features: [mpi]

platform: linux

default features: disabled

platform: windows | osx

platform: linux

gflags - Build with gflags

Dependencies

glog - Build with glog

Dependencies

llvm - Build with LLVM

Dependencies

mpi - Build with MPI

Dependencies

nnpack - Build with NNPack

Dependencies

opencv - Build with OpenCV

Dependencies

vulkan - Build with Vulkan GPU backend

Dependencies

vulkan-memory-allocator

zstd - Build with ZSTD

Dependencies

Available Versions

2.7.1#0
2.1.2#12
2.1.2#11
2.1.2#10
2.1.2#9
2.1.2#8
2.1.2#7
2.1.2#6
2.1.2#5
2.1.2#4
2.1.2#3
2.1.2#2
2.1.2#1
2.1.2#0
1.12.1#5
1.12.1#4
1.12.1#3
1.12.1#2
1.12.1#1
1.12.1#0

Port Content

This package supports the following triplets:

(windows & !static) | osx | linux

In classic mode, run the following vcpkg command:

 vcpkg install libtorch

In manifest mode, run the following vcpkg command in your project directory:

 vcpkg add port libtorch