1use cortiq_engine::tokenizer::Tokenizer;
12use cortiq_engine::zimage::{self, ZImageDit, ZShape};
13use std::sync::Arc;
14
15fn rel(a: &[f32], b: &[f32]) -> f64 {
16 let (mut d, mut r) = (0f64, 0f64);
17 for (x, y) in a.iter().zip(b) {
18 d += (*x as f64 - *y as f64).powi(2);
19 r += (*y as f64).powi(2);
20 }
21 (d / r.max(1e-300)).sqrt()
22}
23
24fn read_f32(p: &str) -> Vec<f32> {
25 std::fs::read(p)
26 .unwrap_or_else(|e| panic!("{p}: {e}"))
27 .chunks_exact(4)
28 .map(|c| f32::from_le_bytes(c.try_into().unwrap()))
29 .collect()
30}
31
32fn main() {
33 let a: Vec<String> = std::env::args().collect();
34 let model = Arc::new(cortiq_core::CmfModel::open(&a[1]).unwrap());
35 let (prompt, hh, ww) = (&a[2], a[3].parse::<usize>().unwrap(), a[4].parse::<usize>().unwrap());
36 let (steps, shift, i) = (a[5].parse::<usize>().unwrap(), a[6].parse::<f32>().unwrap(), a[7].parse::<usize>().unwrap());
37 let tok = Tokenizer::from_bytes(model.vocab.as_deref().unwrap()).unwrap();
38 let ids = cortiq_engine::zimagegen::prompt_ids(&tok, prompt, 512);
39 let cap = {
40 let _p = cortiq_engine::gpu::pause_gpu();
41 cortiq_engine::qwen3te::Qwen3Encoder::from_cmf(&model).unwrap().encode(&ids)
42 };
43 let dit = ZImageDit::from_cmf(&model).unwrap();
44 let sig = zimage::sigmas_torch_f32(steps, shift);
45 let t = zimage::t_model(sig[i]);
46 let mods = dit.mods_for_steps(&[t]);
47 let fs = dit.final_scale_for_steps(&[t]);
48 let shape = ZShape::new(hh, ww, ids.len());
49 let prep = dit.prepare(&cap, shape, 1, None).unwrap();
50 println!("device prepared: {}", prep.device);
51 let (c, lh, lw) = (dit.cfg.in_channels, hh / 8, ww / 8);
52 let lat = |dir: &str| -> Vec<f32> {
53 if i == 0 {
54 read_f32(&std::env::var("CMF_INIT_LATENT").unwrap())
55 } else {
56 read_f32(&format!("{dir}/lat_{i}.f32"))
57 }
58 };
59 let xa = lat(&a[8]);
60 if let Ok(neg) = std::env::var("ZC_NEG") {
63 let nids = cortiq_engine::zimagegen::prompt_ids(&tok, &neg, 512);
64 let ncap = {
65 let _p = cortiq_engine::gpu::pause_gpu();
66 cortiq_engine::qwen3te::Qwen3Encoder::from_cmf(&model).unwrap().encode(&nids)
67 };
68 let mut np = dit.prepare(&ncap, ZShape::new(hh, ww, nids.len()), 2, None).unwrap();
69 let tok_a = dit.tokens(&xa, &shape);
70 let taps = std::env::var("ZC_TAPS").ok();
74 let set_taps = |sub: &str| {
75 if let Some(d) = &taps {
76 unsafe { std::env::set_var("CMF_ZI_TAPS", format!("{d}/{sub}")) };
77 }
78 };
79 set_taps("pos");
80 let vp = dit.step(&prep, i, &tok_a, &mods, &fs);
81 set_taps("neg");
82 let vn = dit.step(&np, i, &tok_a, &mods, &fs);
83 unsafe { std::env::remove_var("CMF_ZI_TAPS") };
84 np.device = false;
85 let vn_cpu = dit.step(&np, i, &tok_a, &mods, &fs);
86 np.device = true;
87 let swap = std::env::var("ZC_SWAP").as_deref() == Ok("1");
90 let (first, second) = if swap { (&np, &prep) } else { (&prep, &np) };
91 let ok = dit.attach_device_pair(first, second, 3, None);
92 println!(
93 "pair prepared: {ok} (pos L = {}, neg L = {}, n_img_p {}, order {})",
94 ids.len(),
95 nids.len(),
96 shape.n_img_p,
97 if swap { "neg,pos" } else { "pos,neg" }
98 );
99 set_taps("pair");
100 if let Some((p0, p1)) = dit.step_pair_device(3, shape.n_img, i, &tok_a, &mods, &fs) {
101 let (pp, pn) = if swap { (p1, p0) } else { (p0, p1) };
102 let nan = pp.iter().chain(&pn).filter(|v| !v.is_finite()).count();
103 println!("pair vs singles: pos {:.3e} neg {:.3e} non-finite {nan} single neg dev vs cpu {:.3e}",
104 rel(&pp, &vp), rel(&pn, &vn), rel(&vn, &vn_cpu));
105 }
106 unsafe { std::env::remove_var("CMF_ZI_TAPS") };
107 if let Some(d) = &taps {
108 let h = dit.cfg.dim;
111 let cp = |l: usize| l.div_ceil(32) * 32;
112 let (cp_pos, cp_neg) = (cp(ids.len()), cp(nids.len()));
113 let (cp0, cp1) = if swap { (cp_neg, cp_pos) } else { (cp_pos, cp_neg) };
114 let nip = shape.n_img_p;
115 let rd = |p: String| -> Option<Vec<f32>> {
116 std::fs::read(&p).ok().map(|b| b.chunks_exact(4).map(|c| f32::from_le_bytes(c.try_into().unwrap())).collect())
117 };
118 let mut names: Vec<String> = (0..2).map(|k| format!("nr{k}_out")).collect();
119 names.extend((0..dit.cfg.n_layers).map(|k| format!("l{k}_out")));
120 for n in names {
121 let (Some(sp), Some(sn), Some(pr)) = (
122 rd(format!("{d}/pos/step{i}/{n}.f32")),
123 rd(format!("{d}/neg/step{i}/{n}.f32")),
124 rd(format!("{d}/pair/step{i}/{n}.f32")),
125 ) else {
126 continue;
127 };
128 let (r0, r1) = if n.starts_with("nr") {
129 ((0, nip), (nip, nip))
130 } else {
131 ((0, nip + cp0), (nip + cp0, nip + cp1))
132 };
133 let item = |r: (usize, usize)| &pr[r.0 * h..(r.0 + r.1) * h];
134 let (ip, ineg) = if swap { (item(r1), item(r0)) } else { (item(r0), item(r1)) };
135 let split = |v: &[f32]| (v[..nip * h].to_vec(), v[nip * h..].to_vec());
137 let (pi, pc) = split(ip);
138 let (spi, spc) = split(&sp[..ip.len().min(sp.len())]);
139 println!(
140 "{n:9} pos: img {:.3e} cap {:.3e} neg: all {:.3e}",
141 rel(&pi, &spi),
142 if pc.is_empty() { 0.0 } else { rel(&pc, &spc) },
143 rel(ineg, &sn[..ineg.len().min(sn.len())])
144 );
145 }
146 }
147 return;
148 }
149 let tok_a = dit.tokens(&xa, &shape);
150 let va_dev = zimage::unpatchify(&dit.step(&prep, i, &tok_a, &mods, &fs), c, lh, lw);
151 let mut hp = zimage::ZPrepared { device: false, ..prep };
152 let va_cpu = zimage::unpatchify(&dit.step(&hp, i, &tok_a, &mods, &fs), c, lh, lw);
153 let va_tr = read_f32(&format!("{}/v_{i}.f32", a[8]));
154 println!("step {i} on A's lat: dev vs cpu {:.3e} cpu vs A's v {:.3e} dev vs A's v {:.3e}",
155 rel(&va_dev, &va_cpu), rel(&va_cpu, &va_tr), rel(&va_dev, &va_tr));
156 if let Some(b) = a.get(9) {
157 hp.device = true;
158 let xb = lat(b);
159 let vb_dev = zimage::unpatchify(&dit.step(&hp, i, &dit.tokens(&xb, &shape), &mods, &fs), c, lh, lw);
160 println!("inputs A vs B {:.3e} device outputs {:.3e} (B's own v {:.3e})",
161 rel(&xb, &xa), rel(&vb_dev, &va_dev), rel(&read_f32(&format!("{b}/v_{i}.f32")), &va_dev));
162 }
163}