Files
foxhunt/crates/ml-alpha/build.rs
jgrusewski d3b60b2ef3 build(ml-alpha): multi-cubin build.rs + placeholder kernels + local MappedF32Buffer
Cargo.toml: drops gbdt; adds memmap2 + approx; keeps ml-core only
(cannot depend on ml: would cycle since ml depends on ml-alpha for
the Mamba2 gate baseline).

build.rs: compiles 7 cubins (mamba2_alpha + 6 new placeholders)
with -O3 --use_fast_math --ftz --fmad. Skips kernels whose source
isn't present yet so partial check-ins work. Every env::var paired
with rerun-if-env-changed per the canonical build pearl.

src/pinned_mem.rs: local copy of MappedF32Buffer (mirrors
ml::cuda_pipeline::mapped_pinned::MappedF32Buffer). Drives the only
permitted CPU<->GPU path per feedback_no_htod_htoh_only_mapped_pinned.
Eventually the move-to-ml-core refactor will deduplicate; out of
scope for the Phase A branch.

Addendum: updates the import path to ml_alpha::pinned_mem.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-16 21:35:35 +02:00

105 lines
3.0 KiB
Rust

//! Pre-compile all ml-alpha CUDA kernels into arch-specific cubins.
//!
//! Per `feedback_no_nvrtc.md`: no runtime kernel compilation.
//! Per `pearl_build_rs_rerun_if_env_changed.md`: every `std::env::var`
//! is paired with `cargo:rerun-if-env-changed`.
use std::path::{Path, PathBuf};
use std::process::Command;
const KERNELS: &[&str] = &[
"mamba2_alpha_kernel", // gate reference (Phase A->Mamba2 baseline)
"snap_feature_assemble",
"cfc_step",
"multi_horizon_heads",
"projection",
"bce_loss_multi_horizon",
"adamw_step",
];
fn main() {
println!("cargo:rerun-if-changed=build.rs");
println!("cargo:rerun-if-env-changed=CARGO_FEATURE_CUDA");
if std::env::var("CARGO_FEATURE_CUDA").is_err() {
eprintln!(" ml-alpha: cuda feature disabled, skipping kernel build");
return;
}
println!("cargo:rerun-if-env-changed=CUDA_COMPUTE_CAP");
println!("cargo:rerun-if-env-changed=CUDA_HOME");
let cap = std::env::var("CUDA_COMPUTE_CAP").unwrap_or_else(|_| "80".to_string());
let arch = format!("sm_{cap}");
let nvcc = match find_nvcc() {
Some(p) => p,
None => {
eprintln!(" ml-alpha: nvcc not found, skipping kernel build (set CUDA_HOME or install CUDA toolkit)");
return;
}
};
let out = PathBuf::from(std::env::var("OUT_DIR").expect("OUT_DIR not set by cargo"));
for k in KERNELS {
let src = PathBuf::from(format!("cuda/{k}.cu"));
if !src.exists() {
eprintln!(" ml-alpha: skipping {k} — source not yet present");
continue;
}
println!("cargo:rerun-if-changed={}", src.display());
let cubin = out.join(format!("{k}.cubin"));
compile(&nvcc, &src, &cubin, &arch);
}
}
fn compile(nvcc: &Path, src: &Path, cubin: &Path, arch: &str) {
let status = Command::new(nvcc)
.args([
"-cubin",
&format!("-arch={arch}"),
"-O3",
"--use_fast_math",
"--ftz=true",
"--fmad=true",
"-o",
cubin.to_str().unwrap(),
src.to_str().unwrap(),
])
.status()
.unwrap_or_else(|e| panic!("nvcc spawn failed for {}: {e}", src.display()));
if !status.success() {
panic!(
"nvcc failed for {} (exit {})",
src.display(),
status.code().unwrap_or(-1)
);
}
eprintln!(
" ml-alpha: compiled {} -> {} ({arch})",
src.display(),
cubin.display()
);
}
fn find_nvcc() -> Option<PathBuf> {
if let Ok(home) = std::env::var("CUDA_HOME") {
let p = PathBuf::from(home).join("bin/nvcc");
if p.exists() {
return Some(p);
}
}
for cand in ["/usr/local/cuda/bin/nvcc", "/usr/bin/nvcc"] {
let p = PathBuf::from(cand);
if p.exists() {
return Some(p);
}
}
Command::new("nvcc")
.arg("--version")
.output()
.ok()
.filter(|o| o.status.success())
.map(|_| PathBuf::from("nvcc"))
}