xmake.lua 1.4 KB

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  1. package("frugally-deep")
  2. set_kind("library", {headeronly = true})
  3. set_homepage("https://github.com/Dobiasd/frugally-deep")
  4. set_description("Header-only library for using Keras (TensorFlow) models in C++.")
  5. set_license("MIT")
  6. add_urls("https://github.com/Dobiasd/frugally-deep/archive/refs/tags/$(version).tar.gz",
  7. "https://github.com/Dobiasd/frugally-deep.git")
  8. add_versions("v0.16.0", "5ffe8dddb43a645094b2ca1d48e4ee78e685fbef3c89f08cea8425a39dad9865")
  9. add_versions("v0.15.31", "49bf5e30ad2d33e464433afbc8b6fe8536fc959474004a1ce2ac03d7c54bc8ba")
  10. add_versions("v0.15.29", "032cd525d4a7b9b3ebe28fd5e3984ac3e569da496f65d52c81030aabd9d0c52e")
  11. if is_plat("linux", "bsd") then
  12. add_syslinks("pthread")
  13. end
  14. add_deps("cmake")
  15. add_deps("functionalplus", "eigen")
  16. add_deps("nlohmann_json", {configs = {cmake = true}})
  17. on_install("windows", "macosx", "linux", "mingw", "cross", function (package)
  18. import("package.tools.cmake").install(package)
  19. end)
  20. on_test(function (package)
  21. local cxflags
  22. if package:is_plat("mingw") then
  23. cxflags = "-Wa,-mbig-obj"
  24. end
  25. assert(package:check_cxxsnippets({test = [[
  26. #include <fdeep/fdeep.hpp>
  27. void test() {
  28. const auto model = fdeep::load_model("fdeep_model.json");
  29. }
  30. ]]}, {configs = {languages = "c++14", cxflags = cxflags}}))
  31. end)