code wiki / _hdl_build / nx_intfp_mla_gradcheck_gate.nx
nx_intfp_mla_gradcheck_gate.nx
buildroot/runtime/_hdl_build/nx_intfp_mla_gradcheck_gate.nx
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nx_intfp_mla_gradcheck_gate.nx -- 2026 FRONTIER: MLA (Multi-head Latent Attention, DeepSeek's marquee KV-
compression) in Q20 INTEGER, gradchecked, NO float. Instead of storing full K,V, x is DOWN-projected to a small
latent c (dim LC<DM), and K,V are UP-projected from c -- so the KV cache is just c (LC-dim), a big compression.
Full causal attention on the reconstructed K,V, full backward through the bottleneck. Gradcheck the DOWN-proj
Wdkv (the compression novelty -- its gradient flows through BOTH the K and V up-projections and all of attention)
plus Wuk, Wuv, Wq. license_tier: ORIGINAL
dependencies 1 imports · 0 importers
imports: nx_syscalls.nx
imported by: nobody (leaf or entry point)
call flow from main pre-order; caps 40 nodes / depth 6 declared; ↻ = already shown
structs
| none |
consts
| 13 | const S: i64 = 16777216 // Q24 -- Q/K gradients flow thru softmax and are tiny; need the extra bits (as attention gate) |
| 14 | const T: i64 = 3 |
| 15 | const DM: i64 = 4 |
| 16 | const LC: i64 = 2 // latent (compressed) dim < DM -- the KV-cache size |
| 17 | const SCALE: i64 = 8388608 // 1/sqrt(4)=0.5 |
functions
| 9 | func w(s: *u8) -> i64 { var n: i64=0; while s[n]!=(0 as u8){n=n+1} sys_write(1,s,n); return 0 } |
| 10 | func wn(v: i64) -> i64 { if v==0 { sys_write(1,"0" as *u8,1); return 0 } var m: i64=v; if m<0{sys_write(1,"-" as *u8,1);m=0-m} let t: *u8=sys_mmap(24); var k: i64=0; while m>0{t[k]=(48+(m%10)) as u8;m=m/10;k=k+1} let o: *u8=sys_mmap(24); var q: i64=k-1; var i: i64=0; while q>=0{o[i]=t[q];i=i+1;q=q-1} sys_write(1,o,i); return 0 } |
| 11 | func iabs(v: i64) -> i64 { if v<0 { return 0-v } return v } called by 1: gcheck |
| 20 | func fp_exp(xq: i64) -> i64 { let y: i64=(xq*24204406)/S; var yi: i64=0; if y>=0 { yi=y/S } else { yi=0-(((0-y)+S-1)/S) } let yf: i64=y-yi*S; var p: i64=161380; p=931144+(p*yf)/S; p=4030770+(p*yf)/S; p=11632166+(p*yf)/S; p=S+(p*yf)/S; if yi>=0 { if yi>=31 { return 2000000000 } return p*(1<<yi) } let k: i64=0-yi; if k>=31 { return 0 } return p/(1<<k) } called by 1: mla_fwd |
| 23 | func mla_fwd(P: *i64) -> i64 |
| 35 | func mla_bwd(P: *i64) -> i64 |
| 58 | func gcheck(name: *u8, P: *i64, Wt: *i64, dW: *i64, ncell: i64) -> i64 |
| 75 | func main() -> i64 |