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Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

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pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
Merged

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61

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@ShriyaRishab

@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
@github-actions

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MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
2 checks passed
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Make lowest precision and parallelism mandatory for all results

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@ShriyaRishab@pavanky@carualejandro
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 by ShriyaRishab · Pull Request #472 · mlcommons/logging · GitHub
Skip to content

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

Merged
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
Merged

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61

Conversation

@ShriyaRishab

@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
@github-actions

Copy link
Copy Markdown

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
2 checks passed
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Make lowest precision and parallelism mandatory for all results

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@ShriyaRishab@pavanky@carualejandro
, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 by ShriyaRishab · Pull Request #472 · mlcommons/logging · GitHub
Skip to content

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

Merged
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
Merged

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61

Conversation

@ShriyaRishab

@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
@github-actions

Copy link
Copy Markdown

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
2 checks passed
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Make lowest precision and parallelism mandatory for all results

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@ShriyaRishab@pavanky@carualejandro
, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 by ShriyaRishab · Pull Request #472 · mlcommons/logging · GitHub
Skip to content

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

Merged
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
Merged

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61

Conversation

@ShriyaRishab

@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
@github-actions

Copy link
Copy Markdown

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
2 checks passed
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Make lowest precision and parallelism mandatory for all results

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@ShriyaRishab@pavanky@carualejandro
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 by ShriyaRishab · Pull Request #472 · mlcommons/logging · GitHub
Skip to content

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

Merged
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
Merged

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61

Conversation

@ShriyaRishab

@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
@github-actions

Copy link
Copy Markdown

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
2 checks passed
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Make lowest precision and parallelism mandatory for all results

3 participants

@ShriyaRishab@pavanky@carualejandro
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 by ShriyaRishab · Pull Request #472 · mlcommons/logging · GitHub
Skip to content

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

Merged
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
Merged

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61

Conversation

@ShriyaRishab

@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
@github-actions

Copy link
Copy Markdown

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
2 checks passed
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Make lowest precision and parallelism mandatory for all results

3 participants

@ShriyaRishab@pavanky@carualejandro
, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 by ShriyaRishab · Pull Request #472 · mlcommons/logging · GitHub
Skip to content

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

Merged
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
Merged

Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
mlcommons:masterfrom
ShriyaRishab:shriya/mandatory_precision_parallelism_v61

Conversation

@ShriyaRishab

@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
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MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
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Make lowest precision and parallelism mandatory for all results

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Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472

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ShriyaRishab:shriya/mandatory_precision_parallelism_v61
Aug 21, 2026
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Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1#472
pavanky merged 2 commits into
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ShriyaRishab:shriya/mandatory_precision_parallelism_v61

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@ShriyaRishabShriyaRishab commented Aug 20, 2026

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Summary

  • Make lowest_numerical_precision_in_{linear,attn,comm}, {tensor,pipeline,context,expert}_parallelism, micro_batch_size, and config_filename required (EXACTLY_ONE) in training_6.1.0/common.yaml so every Closed and Open result log must report them.
  • Leave the v6.0 checker unchanged.
  • Add mllog constants and update the parallelism example so submitters can log unused dimensions as 1.

Fixesmlcommons/training#878

Companion policy PR: mlcommons/training_policies#592

Test plan

  • Confirm training_6.0.0/common.yaml still marks these keys OPTIONAL
  • Run the v6.1 compliance checker on a log missing any of the 9 keys and confirm it fails
  • Run the v6.1 compliance checker on a log that reports all 9 keys with valid values, unused parallelism = 1, and a non-empty config_filename and confirm it passes these checks
  • Confirm an invalid precision string, parallelism < 1, or micro_batch_size < 1 fails the value CHECK

Require the linear/attn/comm precision and TP/PP/CP/EP keys in every
training 6.1 result log so the checker can enforce issue #878.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishab
ShriyaRishab requested review from a team as code ownersAugust 20, 2026 21:07
@github-actions

Copy link
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MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

These disclosure keys were still optional; make them EXACTLY_ONE so
every result log identifies the micro-batch size and matching config.
Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
@ShriyaRishabShriyaRishab changed the title Make lowest precision and parallelism mandatory for v6.1Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1Aug 20, 2026
@pavanky
pavanky merged commit 9c5b654 into mlcommons:masterAug 21, 2026
2 checks passed
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Make lowest precision and parallelism mandatory for all results

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@ShriyaRishab@pavanky@carualejandro