文件名称:ThArrays.jl:PyTorch的C ++后端的Julia接口,专注于Tensor,AD和JIT
文件大小:109KB
文件格式:ZIP
更新时间:2024-02-24 19:59:03
deep-learning julia torch pytorch TheJuliaLanguageJulia
ThArrays.jl:PyTorch的C ++后端的Julia接口,专注于Tensor,AD和JIT
【文件预览】:
ThArrays.jl-master
----Project.toml(588B)
----.gitignore(555B)
----csrc()
--------torch_api.cpp(14KB)
--------torch_api_generated.cpp.h(257KB)
--------torch_capi_script.cpp(1KB)
--------torch_capi_tensor.h(2KB)
--------example_app.cpp(1KB)
--------torch_capi_scalar.cpp(2KB)
--------torch_api_generated.h(91KB)
--------torch_api.h(4KB)
--------torch_capi.h(476B)
--------torch_capi_tensor.cpp(5KB)
--------torch_capi_scalar.h(491B)
--------torch_capi_script.h(646B)
--------CMakeLists.txt(696B)
----src()
--------ThArrays.jl(1KB)
--------compat()
--------ad.jl(2KB)
--------scalar.jl(1KB)
--------common-methods.jl(3KB)
--------th-jit.jl(2KB)
--------thc()
--------tensor.jl(8KB)
----LICENSE(1KB)
----deps()
--------gh-update-to-release(2KB)
--------build_dylib_macos.sh(1KB)
--------build.jl(3KB)
--------build_tarballs.jl(2KB)
--------build_dylib.sh(2KB)
----.github()
--------workflows()
----README.md(1KB)
----docs()
--------Project.toml(59B)
--------src()
--------make.jl(471B)
--------python-api-tensor.txt(2KB)
----test()
--------tensor-creation.jl(794B)
--------issues.jl(529B)
--------grad.jl(1KB)
--------scalar-creation.jl(401B)
--------tensor-indexing.jl(1KB)
--------tensor-arrayif.jl(881B)
--------th_tr_mixed.jl(1KB)
--------simple-script.jl(374B)
--------runtests.jl(190B)