web: logic-pass fixes (portable test_b2b, symmetric repair patience)
Browse files- web/TEST_RESULTS.md +2 -2
- web/public/app.js +9 -5
- web/test_b2b.js +16 -6
web/TEST_RESULTS.md
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@@ -1,6 +1,6 @@
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# Test results β 2026-07-
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All suites run with `npm test` (chains all
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Hardware for GPU numbers: NVIDIA via WebGPU, DP4A int8 dot path, exact-gated
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against the verified units at init.
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# Test results β updated 2026-07-16
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All suites run with `npm test` (chains all ten). Every suite exits 0.
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Hardware for GPU numbers: NVIDIA via WebGPU, DP4A int8 dot path, exact-gated
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against the verified units at init.
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web/public/app.js
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@@ -851,14 +851,18 @@ async function train(cfg, resume) {
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const need = roster.filter(id => id !== myId);
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const haveAll = () => need.every(id => (incoming.get(s) || new Map()).has(id));
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let ok = await waitFor(haveAll, 2500);
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if (!ok
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// mesh asymmetry: the grad reached the leader (it's in the roster) but
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// not me β ask the leader to forward it rather than stopping the run
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const missing = need.filter(id => !(incoming.get(s) || new Map()).has(id));
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ok = await waitFor(haveAll, 12000);
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if (ok) log(`step ${s + 1}:
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}
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if (!ok) {
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halted = `missing a roster gradient at step ${s + 1} β applying a partial average would fork the weights`;
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const need = roster.filter(id => id !== myId);
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const haveAll = () => need.every(id => (incoming.get(s) || new Map()).has(id));
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let ok = await waitFor(haveAll, 2500);
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if (!ok) {
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// mesh asymmetry: the grad reached the leader (it's in the roster) but
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// not me β ask the leader to forward it rather than stopping the run.
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// If the leader itself has left, still wait the full window: the
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// missing grads may be in flight from their origin peers directly.
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const missing = need.filter(id => !(incoming.get(s) || new Map()).has(id));
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if (chans.has(leaderId)) {
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log(`step ${s + 1}: still missing ${missing.map(nmeOf).join(", ")} β requesting repair from ${nmeOf(leaderId)}`);
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for (const id of missing) await requestRepair(s, id);
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}
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ok = await waitFor(haveAll, 12000);
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if (ok) log(`step ${s + 1}: gradient(s) recovered β continuing`);
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}
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if (!ok) {
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halted = `missing a roster gradient at step ${s + 1} β applying a partial average would fork the weights`;
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web/test_b2b.js
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@@ -17,8 +17,13 @@ const path = require("path");
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const p = (f) => path.join(__dirname, "public", f);
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const V = require("./public/verified_core.js");
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const T = require("./public/traincore.js");
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const OLD = require("./public/_transformer_prefusion.js");
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const NEW = require("./public/transformer.js");
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const L = { mul: new Int16Array(fs.readFileSync(p("mul_lut.bin")).buffer.slice(0)) };
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const rnd = (len) => Float32Array.from({ length: len }, () => Math.random() * 4 - 2);
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@@ -95,12 +100,17 @@ const ok = (c, msg) => { console.log(`${c ? " ok " : " FAIL"} ${msg}`); if (
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Math.random = orig;
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return { first, last };
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};
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const
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ok(a.first === b.first, `step-0 loss identical before any quantize divergence compounds (${a.first.toFixed(6)})`);
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ok(b.last < b.first * 0.75, `chained transformer converges (${b.first.toFixed(4)} -> ${b.last.toFixed(4)})`);
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}
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console.log(pass ? "\nB2B MLP CHAIN TEST PASSED" : "\nB2B MLP CHAIN TEST FAILED");
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process.exit(pass ? 0 : 1);
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const p = (f) => path.join(__dirname, "public", f);
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const V = require("./public/verified_core.js");
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const T = require("./public/traincore.js");
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const NEW = require("./public/transformer.js");
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// The pre-chain transformer is a LOCAL regression baseline (not shipped β
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// shipping a frozen copy of dead forward code would be the correctness
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// illusion again). When absent, the old-vs-new convergence comparison is
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// skipped and every self-contained assertion still runs.
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let OLD = null;
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try { OLD = require("./public/_transformer_prefusion.js"); } catch (e) {}
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const L = { mul: new Int16Array(fs.readFileSync(p("mul_lut.bin")).buffer.slice(0)) };
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const rnd = (len) => Float32Array.from({ length: len }, () => Math.random() * 4 - 2);
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Math.random = orig;
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return { first, last };
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};
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const b = await run(NEW);
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ok(b.last < b.first * 0.75, `chained transformer converges (${b.first.toFixed(4)} -> ${b.last.toFixed(4)})`);
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if (OLD) {
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const a = await run(OLD);
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ok(a.first === b.first, `step-0 loss identical before any quantize divergence compounds (${a.first.toFixed(6)})`);
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const rel = Math.abs(a.last - b.last) / a.last;
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ok(rel < 0.10, `convergence unchanged by the respec: old ${a.last.toFixed(4)} vs new ${b.last.toFixed(4)} (${(100 * rel).toFixed(1)}% apart)`);
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console.log(" note the runs are NOT bit-identical past step 0 β the quantize respec is a real (bounded) spec change, which is why old and new builds must not co-train");
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} else {
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console.log(" note pre-chain baseline (_transformer_prefusion.js) not present β old-vs-new convergence comparison skipped (recorded result: old 2.0500 vs new 2.0512, 0.1% apart)");
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}
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}
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console.log(pass ? "\nB2B MLP CHAIN TEST PASSED" : "\nB2B MLP CHAIN TEST FAILED");
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process.exit(pass ? 0 : 1);
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