nx_conv1d.nx
buildroot/runtime/nx_conv1d.nx
about
nx_conv1d.nx -- the ATOM of the neural vocoder forward (HiFi-GAN / WaveNet are conv1d stacks). Sovereign f32
1-D convolution: input [C_in, L] * weight [C_out, C_in, K] + bias [C_out] -> output [C_out, L_out], with
stride / padding / dilation (HiFi-GAN's MRF uses dilated convs; its upsampler uses transposed conv = the next
brick). This is the FIRST real brick of the neural-realism voice forward (same f32/SSE substrate as the FIXED
Qwen forward + Z-Image DiT). Known-answer tested byte-exact. No ML lib. license_tier: ORIGINAL expect_exit: 0
dependencies 2 imports · 0 importers
imports: nx_syscalls.nxnx_f32.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
| none |
functions
| 9 | func cw(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 cn(v: i64) -> i64 { let bb: *u8=sys_mmap(28); var m: i64=v; if m<0{sys_write(1,"-" as *u8,1);m=0-m} let t: *u8=sys_mmap(28); var k: i64=0; if m==0{t[0]=48 as u8;k=1} while m>0{t[k]=(48+(m%10)) as u8;m=m/10;k=k+1} var i: i64=0; while i<k{bb[i]=t[k-1-i];i=i+1} sys_write(1,bb,k); return 0 } |
| 11 | func chx(v: i64) -> i64 { let b: *u8=sys_mmap(8); var i: i64=0; while i<8 { let n: i64=(v>>((7-i)*4))&0xF; if n<10 {b[i]=(48+n) as u8} else {b[i]=(87+n) as u8} i=i+1 } sys_write(1,b,8); return 0 } |
| 15 | func conv1d(inp: *i64, w: *i64, b: *i64, out: *i64, |
| 44 | func main() -> i64 |