Gahow Wang
b0e397ca81
Eliminate the per-step GPU↔host roundtrip of every parameter/gradient. - optim.cu: adamw_step (m/v on device, in-place param update), sumsq_accum (block-reduced global grad sum-of-squares), scale_inplace. - GpuAdamW: device m/v state per param; step launches the kernel reading each param's .grad() and rewriting the param buffer in place — no host roundtrip. Host AdamW kept as the torch-parity reference. - clip_grad_norm_gpu: device sum-of-squares reduction (only the scalar norm comes back), in-place rescale of grads by pre_scale·clip_factor. - train_loop: use GpuAdamW + clip_grad_norm_gpu. - test: GPU AdamW vs host reference parity (max abs err < 1e-6). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
47 lines
1.6 KiB
Rust
47 lines
1.6 KiB
Rust
use std::env;
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use std::path::Path;
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use std::process::Command;
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fn main() {
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println!("cargo:rustc-check-cfg=cfg(no_cuda)");
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println!("cargo:rerun-if-changed=../../csrc/");
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let cuda_path = env::var("CUDA_HOME")
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.or_else(|_| env::var("CUDA_PATH"))
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.unwrap_or_else(|_| "/usr/local/cuda".to_string());
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// Locally there is no nvcc / GPU. Detect that and skip the CUDA build so
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// `cargo check`/`cargo build` of host-side Rust still works. The `no_cuda`
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// cfg makes the FFI bindings + smoke test compile (but not run) without nvcc.
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if !nvcc_available(&cuda_path) {
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println!("cargo:warning=nvcc not found — skipping CUDA compilation (host-only build).");
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println!("cargo:rustc-cfg=no_cuda");
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return;
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}
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println!("cargo:rustc-link-search=native={cuda_path}/lib64");
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println!("cargo:rustc-link-lib=dylib=cudart");
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println!("cargo:rustc-link-lib=dylib=cuda");
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// cuBLAS is used only as a correctness reference for the hand-written GEMM.
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println!("cargo:rustc-link-lib=dylib=cublas");
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cc::Build::new()
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.cuda(true)
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.cudart("shared")
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.flag("-gencode=arch=compute_120,code=sm_120")
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.file("../../csrc/test/vecadd.cu")
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.file("../../csrc/ops/elementwise.cu")
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.file("../../csrc/ops/gemm.cu")
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.file("../../csrc/ops/nn.cu")
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.file("../../csrc/ops/model.cu")
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.file("../../csrc/ops/optim.cu")
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.compile("xtrain_cuda_kernels");
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}
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fn nvcc_available(cuda_path: &str) -> bool {
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if Command::new("nvcc").arg("--version").output().is_ok() {
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return true;
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}
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Path::new(&format!("{cuda_path}/bin/nvcc")).exists()
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}
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