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build.zig
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const builtin = @import("builtin");
const std = @import("std");
const opencl = false;
pub fn build(b: *std.Build) void {
const target = b.standardTargetOptions(.{});
const optimize = b.standardOptimizeOption(.{});
const exe = b.addExecutable(.{
.name = "simple-feed-forward-neural-networks-in-zig",
.root_source_file = b.path("src/main.zig"),
.target = target,
.optimize = optimize,
});
if (opencl) {
exe.addIncludePath(b.path("libs/opencl-headers"));
if (builtin.os.tag == .windows) {
std.debug.print("Windows detected, adding default CUDA SDK x64 lib search path. Change this in build.zig if needed...", .{});
exe.addLibraryPath(.{ .cwd_relative = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.6/lib/x64" });
//TODO : amd support?
}
exe.linkSystemLibrary("c");
if (builtin.os.tag == .linux) {
exe.linkSystemLibrary("OpenCL");
}
}
// This declares intent for the executable to be installed into the
// standard location when the user invokes the "install" step (the default
// step when running `zig build`).
b.installArtifact(exe);
const run_cmd = b.addRunArtifact(exe);
run_cmd.step.dependOn(b.getInstallStep());
if (b.args) |args| {
run_cmd.addArgs(args);
}
const run_step = b.step("run", "Run the app");
run_step.dependOn(&run_cmd.step);
const unit_tests = b.addTest(.{
.root_source_file = b.path("src/main.zig"),
.target = target,
.optimize = optimize,
});
const run_unit_tests = b.addRunArtifact(unit_tests);
const test_step = b.step("test", "Run unit tests");
test_step.dependOn(&run_unit_tests.step);
}