[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction - #21667

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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction#21667
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #21602 by @JCNTH
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig
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Differential Revision: D114936147
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@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction - #21667
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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction#21667
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This PR was created by the merge bot to help merge the original PR into the main branch.

ghstack PR number: #21602 by @JCNTH

^ Please use this as the source of truth for the PR details, comments, and reviews

ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig

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Differential Revision: D114936147

@diff-train-skip-merge
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction - #21667
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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction#21667
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This PR was created by the merge bot to help merge the original PR into the main branch.

ghstack PR number: #21602 by @JCNTH

^ Please use this as the source of truth for the PR details, comments, and reviews

ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig

Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/orig

Differential Revision: D114936147

@diff-train-skip-merge
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction - #21667
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This PR was created by the merge bot to help merge the original PR into the main branch.

ghstack PR number: #21602 by @JCNTH

^ Please use this as the source of truth for the PR details, comments, and reviews

ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig

Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/orig

Differential Revision: D114936147

@diff-train-skip-merge
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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, 'i');
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})();
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This PR was created by the merge bot to help merge the original PR into the main branch.

ghstack PR number: #21602 by @JCNTH

^ Please use this as the source of truth for the PR details, comments, and reviews

ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig

Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/orig

Differential Revision: D114936147

@diff-train-skip-merge
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction#21667
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This PR was created by the merge bot to help merge the original PR into the main branch.

ghstack PR number: #21602 by @JCNTH

^ Please use this as the source of truth for the PR details, comments, and reviews

ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig

Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/orig

Differential Revision: D114936147

@diff-train-skip-merge
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21667
Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction - #21667
Merged
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gh/JCNTH/208/origfrom 
gh/JCNTH/209/orig
Aug 7, 2026
Merged
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction#21667
JCNTH merged 1 commit into
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gh/JCNTH/209/orig
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This PR was created by the merge bot to help merge the original PR into the main branch.

ghstack PR number: #21602 by @JCNTH

^ Please use this as the source of truth for the PR details, comments, and reviews

ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig

Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/orig

Differential Revision: D114936147

@diff-train-skip-merge
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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🔗 Helpful Links
🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21667
Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
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[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction - #21667
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gh/JCNTH/209/orig
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Merged
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction#21667
JCNTH merged 1 commit into
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This PR was created by the merge bot to help merge the original PR into the main branch.

ghstack PR number: #21602 by @JCNTH

^ Please use this as the source of truth for the PR details, comments, and reviews

ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig

Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/209/orig

Differential Revision: D114936147

@diff-train-skip-merge
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
670828c
…nstruction
Pull Request resolved: #21602
**Run production FastVLM shapes with exception-safe WebGPU graph construction**
Production FastVLM tensors exceeded WebGPU one-dimensional dispatch limits, while several parameter buffers were not graph-owned before fallible pipeline construction. The runtime now folds flat dispatches across x/y, owns parameters immediately, rejects ambiguous `BOOL`/byte-integer casts, and compiles timestamp validation only in profiling builds.
Key changes:
- `GELU` and `expand_copy` use overflow-safe folded dispatch and live resize updates.
- `Compare`, `expand_copy`, and `to_copy` create graph-owned parameter buffers before pipeline construction, mirroring Vulkan `ComputeGraph` ownership.
- `to_copy` rejects `BOOL`-to/from-`INT8` or `UINT8` before same-width flat-copy routing.
- Production builds exclude timestamp-query validation and symbols.
- Boundary, failure, and real FastVLM encoder coverage exercise the final combined behavior.
Kernel math and below-limit one-dimensional dispatch behavior are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059172
@exported-using-ghexport
Differential Revision: [D114936147](https://our.internmc.facebook.com/intern/diff/D114936147/)
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🔗 Helpful Links
🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21667
Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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