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package("frugally-deep")
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set_kind("library", {headeronly = true})
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set_homepage("https://github.com/Dobiasd/frugally-deep")
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set_description("Header-only library for using Keras (TensorFlow) models in C++.")
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set_license("MIT")
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add_urls("https://github.com/Dobiasd/frugally-deep/archive/refs/tags/$(version).tar.gz",
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"https://github.com/Dobiasd/frugally-deep.git")
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add_versions("v0.16.0", "5ffe8dddb43a645094b2ca1d48e4ee78e685fbef3c89f08cea8425a39dad9865")
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add_versions("v0.15.31", "49bf5e30ad2d33e464433afbc8b6fe8536fc959474004a1ce2ac03d7c54bc8ba")
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add_versions("v0.15.29", "032cd525d4a7b9b3ebe28fd5e3984ac3e569da496f65d52c81030aabd9d0c52e")
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if is_plat("linux", "bsd") then
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add_syslinks("pthread")
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end
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add_deps("cmake")
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add_deps("functionalplus", "eigen")
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add_deps("nlohmann_json", {configs = {cmake = true}})
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on_install("windows", "macosx", "linux", "mingw", "cross", function (package)
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import("package.tools.cmake").install(package)
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end)
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on_test(function (package)
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local cxflags
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if package:is_plat("mingw") then
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cxflags = "-Wa,-mbig-obj"
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end
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assert(package:check_cxxsnippets({test = [[
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#include <fdeep/fdeep.hpp>
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void test() {
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const auto model = fdeep::load_model("fdeep_model.json");
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}
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]]}, {configs = {languages = "c++14", cxflags = cxflags}}))
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end)
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