nx_hifigan_fetch.nx
buildroot/runtime/nx_hifigan_fetch.nx
about
nx_hifigan_fetch.nx -- fetch a REAL HiFi-GAN vocoder's config + weight-index from HuggingFace over our own TLS,
to GROUND the generator-graph assembly in the actual architecture (upsample rates / kernels / dilations /
channels) instead of guessing. Mirrors the proven researcher fetch (nx_https_fetch_follow + Mozilla CA, redirect-
following). config.json is tiny (KB) = low-risk; proves the model is reachable + gives the exact dims. Target:
microsoft/speecht5_hifigan (a standard HiFi-GAN, HF-hosted). The 50MB weights come later via nx_https_get_stream.
expect_exit: 0 license_tier: ORIGINAL
dependencies 4 imports · 0 importers
imports: nx_syscalls.nxnx_x509_trust_store.nxnx_trust_store_load_from_certdata.nxnx_https_fetch_follow.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 K_MAGIC_4194304: i64 = 4194304 |
functions
| 13 | func df_puts(s: *u8) -> i64 { var n: i64=0; while s[n]!=(0 as u8){n=n+1} sys_write(1,s,n); return 0 } |
| 14 | func df_putn(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 d: *u8=sys_mmap(24); var k: i64=0; while m>0 {d[k]=(48+(m%10)) as u8; m=m/10; k=k+1} var i: i64=k-1; while i>=0 {let o: *u8=sys_mmap(1); o[0]=d[i]; sys_write(1,o,1); i=i-1} return 0 } |
| 15 | func have_file(path: *u8) -> i64 { let fd: i64=sys_openat_rd(path); if fd<0 {return 0} sys_close(fd); return 1 } |
| 17 | func fetch_save(url: *u8, opath: *u8, store: *TrustStore, out: *u8, cap: i64) -> i64 |
| 34 | func main() -> i64 |