1use std::collections::BTreeMap;
18use std::sync::atomic::{AtomicU64, Ordering};
19use std::sync::{Mutex, OnceLock};
20use std::time::Duration;
21
22#[derive(Default, Clone)]
23struct Row {
24 calls: u64,
25 gpu_ns: u128,
26 cpu_ns: u128,
27 refused: u64,
28 worst: f32,
29}
30
31fn table() -> &'static Mutex<BTreeMap<(usize, usize, usize), Row>> {
32 static T: OnceLock<Mutex<BTreeMap<(usize, usize, usize), Row>>> = OnceLock::new();
33 T.get_or_init(|| Mutex::new(BTreeMap::new()))
34}
35
36pub fn on() -> bool {
37 static ON: OnceLock<bool> = OnceLock::new();
38 *ON.get_or_init(|| std::env::var("CMF_MM_AB").as_deref() == Ok("1"))
39}
40
41static SEEN: AtomicU64 = AtomicU64::new(0);
44
45#[allow(clippy::too_many_arguments)]
46pub fn record(
47 b: usize,
48 rows: usize,
49 cols: usize,
50 gpu_took_it: bool,
51 gpu: Duration,
52 cpu: Duration,
53 g: &[f32],
54 c: &[f32],
55) {
56 SEEN.fetch_add(1, Ordering::Relaxed);
57 let mut t = table().lock().unwrap();
58 let e = t.entry((b, rows, cols)).or_default();
59 e.calls += 1;
60 e.cpu_ns += cpu.as_nanos();
61 if gpu_took_it {
62 e.gpu_ns += gpu.as_nanos();
63 let scale = c.iter().fold(0f32, |m, &v| m.max(v.abs())).max(1e-6);
66 let d = g
67 .iter()
68 .zip(c)
69 .fold(0f32, |m, (&a, &b)| m.max((a - b).abs()))
70 / scale;
71 e.worst = e.worst.max(d);
72 if d > 1e-2 {
73 eprintln!("mm-ab: b={b} {rows}x{cols}: GPU vs CPU max rel diff {d:.3e} (call {})", e.calls);
74 }
75 } else {
76 e.refused += 1;
77 }
78}
79
80pub fn report() -> String {
83 if SEEN.load(Ordering::Relaxed) == 0 {
84 return "no q4tp matmat calls were eligible for the device arm".into();
85 }
86 let t = table().lock().unwrap();
87 let mut rows: Vec<_> = t.iter().collect();
88 rows.sort_by_key(|(_, r)| std::cmp::Reverse(r.cpu_ns));
89 let mut s = String::from(
90 "\n q4tp matmat, both arms per call (CMF_MM_AB=1)\n\
91 \x20 b rows cols calls gpu ms cpu ms ratio worst\n",
92 );
93 let (mut tg, mut tc) = (0u128, 0u128);
94 for ((b, r, c), e) in rows {
95 let took = e.calls - e.refused;
96 let g = e.gpu_ns as f64 / 1e6;
97 let cp = e.cpu_ns as f64 / 1e6;
98 tg += e.gpu_ns;
99 tc += e.cpu_ns;
100 let ratio = if took > 0 && g > 0.0 {
101 format!("{:.2}x", cp / g)
102 } else {
103 "refused".into()
104 };
105 s.push_str(&format!(
106 " {b:>5} {r:>8} {c:>7} {:>6} {g:>9.1} {cp:>9.1} {ratio:>7} {:>6.4}\n",
107 e.calls, e.worst
108 ));
109 }
110 s.push_str(&format!(
111 " total gpu {:.1} ms, cpu {:.1} ms — the device arm is {:.2}x the host's\n",
112 tg as f64 / 1e6,
113 tc as f64 / 1e6,
114 tc as f64 / (tg as f64).max(1.0),
115 ));
116 s
117}
118
119pub fn split_on() -> bool {
125 static ON: OnceLock<bool> = OnceLock::new();
126 *ON.get_or_init(|| std::env::var("CMF_MM_SPLIT").as_deref() == Ok("1"))
127}
128
129#[derive(Default, Clone)]
130struct Split {
131 calls: u64,
132 kernel_ns: u128,
133 rb_ns: u128,
134}
135
136fn splits() -> &'static Mutex<BTreeMap<(usize, usize, usize), Split>> {
137 static T: OnceLock<Mutex<BTreeMap<(usize, usize, usize), Split>>> = OnceLock::new();
138 T.get_or_init(|| Mutex::new(BTreeMap::new()))
139}
140
141pub fn split_note(b: usize, rows: usize, cols: usize, kernel: Duration, rb: Duration) {
142 let mut t = splits().lock().unwrap();
143 let e = t.entry((b, rows, cols)).or_default();
144 e.calls += 1;
145 e.kernel_ns += kernel.as_nanos();
146 e.rb_ns += rb.as_nanos();
147}
148
149pub fn split_report() -> String {
150 let t = splits().lock().unwrap();
151 if t.is_empty() {
152 return "no split-timed calls".into();
153 }
154 let mut s = String::from(
155 "\n device arm, kernel vs readback (CMF_MM_SPLIT=1)\n\
156 \x20 b rows cols calls kernel ms readbk ms rb MB/call\n",
157 );
158 for ((b, r, c), e) in t.iter() {
159 s.push_str(&format!(
160 " {b:>5} {r:>8} {c:>7} {:>6} {:>10.1} {:>10.1} {:>10.1}\n",
161 e.calls,
162 e.kernel_ns as f64 / 1e6,
163 e.rb_ns as f64 / 1e6,
164 (b * r * 4) as f64 / 1e6,
165 ));
166 }
167 s
168}