Torch_jll.jl (v1.10.2+1)

This is an autogenerated package constructed using BinaryBuilder.jl.

The originating build_tarballs.jl script can be found on Yggdrasil, the community build tree.

Bug Reports

If you have any issue, please report it to the Yggdrasil bug tracker.

Documentation

For more details about JLL packages and how to use them, see BinaryBuilder.jl documentation.

Sources

The tarballs for Torch_jll.jl have been built from these sources:

• git repository: https://github.com/pytorch/pytorch.git (revision: 71f889c7d265b9636b93ede9d651c0a9c4bee191)
• file: https://micromamba.snakepit.net/api/micromamba/linux-64/0.21.1 (SHA256 checksum: c907423887b43bec4e8b24f17471262c8087b7095683f41dcef4a4e24e9a3bbd)
• files in directory, relative to originating build_tarballs.jl: ./bundled

Platforms

Torch_jll.jl is available for the following platforms:

• Linux x86_64 {cuda=11.3, cxxstring_abi=cxx11, libc=glibc} (x86_64-linux-gnu-cxx11-cuda+11.3)

Dependencies

The following JLL packages are required by Torch_jll.jl:

• CPUInfo_jll
• CUDA_Runtime_jll
• CUDNN_jll
• CompilerSupportLibraries_jll
• Gloo_jll
• LAPACK_jll
• NVTX_jll
• OpenBLAS32_jll
• PThreadPool_jll
• SLEEF_jll
• XNNPACK_jll
• protoc_jll

Products

The code bindings within this package are autogenerated from the following Products:

• FileProduct: declarations_yaml
• LibraryProduct: libtorch
• LibraryProduct: libtorch_cpu