code wiki / _hdl_build / nx_nofloat_scale2_gate.nx
nx_nofloat_scale2_gate.nx
buildroot/runtime/_hdl_build/nx_nofloat_scale2_gate.nx
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nx_nofloat_scale2_gate.nx -- R4 DEPTH test: does a 2-BLOCK no-float LM reach the richer-grammar floor where
the single block plateaued (ppl ~8.5)? Empirical (the lesson: TEST, don't assert). Same richer grammar
(DET2->ADJ4->NOUN5->VERB5, vocab 16) + dm=32, but TWO stacked pre-norm attention blocks. SGD lr=0.2 (the
best single-block optimizer config). Floor = avg(ln2,ln4,ln5,ln5)=1324 milli-nats (ppl 3.76); uniform=2773.
T1 held-out CE << uniform (learned). T2 held-out CE ~= floor (near-OPTIMAL -> R4 lands).
If T2 fails too, depth is NOT the lever and the boundary is genuinely optimization/compute (honest stop).
expect_exit: 0 Sovereign: nx_nofloat_autograd + nx_syscalls.
dependencies 3 imports · 0 importers
imports: nx_nofloat_autograd.nxnx_syscalls.nxnx_gate_emit_lib.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
| 11 | const Q16: i64 = 65536 |
| 12 | const UNIFORM_MNAT: i64 = 2773 |
| 13 | const FLOOR_MNAT: i64 = 1324 |
functions
| 16 | func dini(a: *i64, n: i64, sd: i64) -> i64 { var i: i64=0; while i<n { a[i]=(((i*7+sd*13+1)%11)-5)*13107; i=i+1 } return 0 } called by 1: main |
| 17 | func lcg(st: *i64) -> i64 { st[0]=(st[0]*1103515245 + 12345) & 2147483647; return (st[0] >> 15) } called by 1: make_stream4 |
| 18 | func make_stream4(S: *i64, tgt: *i64, P: i64, st: *i64) -> i64 |
| 25 | func block(tape: *i64, vals: *i64, st: *i64, nHin: i64, Wq: *i64, Wk: *i64, Wv: *i64, Wo: *i64, dm: i64, scale: i64, lv: *i64, base: i64) -> i64 |
| 46 | func clm2(tape: *i64, vals: *i64, st: *i64, W: *i64, ids: *i64, tgt: *i64, T: i64, dm: i64, V: i64, scale: i64, lv: *i64) -> i64 called by 2: do_traineval_ce calls 6: nfa_leafnfa_embedblocknfa_rmsnorm_rowsnfa_matmulnfa_softce_rows |
| 59 | func step_all(tape: *i64, grads: *i64, W: *i64, WN: *i64, lv: *i64, lr: i64, clip: i64, gb: *i64) -> i64 |
| 64 | func do_train(tape: *i64, vals: *i64, grads: *i64, st: *i64, W: *i64, WN: *i64, S: *i64, tgt: *i64, P: i64, dm: i64, V: i64, scale: i64, lv: *i64, gb: *i64, steps: i64, sdat: *i64) -> i64 |
| 69 | func eval_ce(tape: *i64, vals: *i64, st: *i64, W: *i64, S: *i64, tgt: *i64, P: i64, dm: i64, V: i64, scale: i64, lv: *i64, N: i64, sdat: *i64) -> i64 |
| 76 | func main() -> i64 |