Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
MXFP8 support in Userbuffers by timmoon10 · Pull Request #1711 · NVIDIA/TransformerEngine · GitHub
Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx
, '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('^' + ".*" + ' MXFP8 support in Userbuffers by timmoon10 · Pull Request #1711 · NVIDIA/TransformerEngine · GitHub
Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx
, '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('^' + ".*" + ' MXFP8 support in Userbuffers by timmoon10 · Pull Request #1711 · NVIDIA/TransformerEngine · GitHub
Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx
, '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" + ' MXFP8 support in Userbuffers by timmoon10 · Pull Request #1711 · NVIDIA/TransformerEngine · GitHub
Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx
, '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('^' + ".*" + ' MXFP8 support in Userbuffers by timmoon10 · Pull Request #1711 · NVIDIA/TransformerEngine · GitHub
Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx
, '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('^' + ".*" + ' MXFP8 support in Userbuffers by timmoon10 · Pull Request #1711 · NVIDIA/TransformerEngine · GitHub
Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx
, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); MXFP8 support in Userbuffers by timmoon10 · Pull Request #1711 · NVIDIA/TransformerEngine · GitHub
Skip to content

MXFP8 support in Userbuffers - #1711

Merged
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug
May 7, 2025
Merged

MXFP8 support in Userbuffers#1711
ptrendx merged 55 commits into
NVIDIA:mainfrom
timmoon10:mxfp8-ub-debug

Conversation

@timmoon10

@timmoon10timmoon10 commented Apr 22, 2025

Copy link
Copy Markdown
Member

Description

This PR adds basic support for overlapped tensor-parallel communication with MXFP8 data, with the following limitations:

  • Tensor dimensions must be multiples of 128
  • MXFP8 scaling factors are communicated with blocking NCCL collectives
  • The wgrad GEMM + grad output AG case is not supported.

In the process, I've done some significant refactoring:

  • Removed quantized tensor logic from the Userbuffers communicators, so they only take responsibility for the Userbuffers buffer itself.
  • Added helper functions to expose the Userbuffers buffer as a quantized tensor and handle scaling factors
  • Restore support for Userbuffers in te.Sequential
  • Reorganize module implementation for clarity

Type of change

  • Documentation change (change only to the documentation, either a fix or a new content)
  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Infra/Build change
  • Code refactoring

Changes

  • Add MXFP8 support in Userbuffers
  • Move Userbuffers logic for quantized tensors out of UB communicator and into helper functions
  • Restore Userbuffers support in te.Sequential

Checklist:

  • I have read and followed the contributing guidelines
  • The functionality is complete
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
…tion
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
dgrad GEMM + dx RS is still broken.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Still failing with dy AG + wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10timmoon10 added the enhancement New feature or request label Apr 22, 2025
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

denera
denera previously approved these changes Apr 29, 2025

@deneradenera left a comment

Copy link
Copy Markdown
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci L1

@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Comment threadtests/pytorch/distributed/run_gemm_with_overlap.py Outdated
timmoon10and others added 5 commits May 6, 2025 21:54
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

Signed-off-by: Tim Moon <tmoon@nvidia.com>
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

timmoon10and others added 2 commits May 7, 2025 07:35
@timmoon10

Copy link
Copy Markdown
MemberAuthor

/te-ci pytorch L1

@ptrendxptrendx left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancementNew feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants

@timmoon10@zhongbozhu@denera@ptrendx