[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests - #21666

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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: #21601 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/208/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/207/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/orig
Differential Revision: D114936144
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JCNTH added 3 commits August 5, 2026 12:54
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request

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Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
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…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>

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@copilot resolve the merge conflicts in this pull request

Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.

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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests - #21666
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests#21666
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ghstack PR number: #21601 by @JCNTH

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ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head

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Differential Revision: D114936144

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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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🔗 Helpful Links
🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21666
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.
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request
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Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
c8f302d
…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>
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@copilot resolve the merge conflicts in this pull request
Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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, 'i');
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ghstack PR number: #21601 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/208/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head

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Differential Revision: D114936144

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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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🔗 Helpful Links
🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21666
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.
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request
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Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
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…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>
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@copilot resolve the merge conflicts in this pull request
Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.
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ghstack PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/207/orig

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

Differential Revision: D114936144

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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request
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Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
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…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>
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@copilot resolve the merge conflicts in this pull request
Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests - #21666
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ghstack PR number: #21601 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/208/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/207/orig

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

Differential Revision: D114936144

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@JCNTH
[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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🔗 Helpful Links
🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21666
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.
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request
@JCNTH
Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
c8f302d
…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>
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@copilot resolve the merge conflicts in this pull request
Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests - #21666
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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: #21601 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/208/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/207/orig

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

Differential Revision: D114936144

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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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🔗 Helpful Links
🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21666
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.
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request
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Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
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…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>
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@copilot resolve the merge conflicts in this pull request
Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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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: #21601 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/208/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/207/orig

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

Differential Revision: D114936144

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@JCNTH
Update (base update)
62abea6
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Update
a17d304
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@JCNTH
[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21666
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@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request
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Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
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…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>
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@copilot resolve the merge conflicts in this pull request
Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests - #21666
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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: #21601 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/208/base

ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/208/head

Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/207/orig

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

Differential Revision: D114936144

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@JCNTH
[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests
12a86d3
Pull Request resolved: #21601
**Cover Conv1d routing, resize, and dynamic manifest replay**
Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.
Key changes:
- Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
- Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
- `Case.export_inputs` and `Case.dynamic_shapes` carry export-time samples and constraints while `Case.inputs` remains the live runtime input.
- Generator coverage proves export length 10 and runtime length 7.
This is coverage-only; runtime kernels are unchanged.
Co-authored-with: Claude Code.
ghstack-source-id: 411059163
@exported-using-ghexport
Differential Revision: [D114936144](https://our.internmc.facebook.com/intern/diff/D114936144/)
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🔗 Helpful Links
🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21666
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.
@JCNTH
[ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph co…
8608c4b
…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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@copilot resolve the merge conflicts in this pull request
@JCNTH
Merge remote-tracking branch 'origin/gh/JCNTH/207/orig' into gh/JCNTH…
c8f302d
…/208/orig
# Conflicts:
#	backends/webgpu/runtime/WebGPUGraph.cpp
#	backends/webgpu/test/native/test_compute_dispatch.cpp
#	backends/webgpu/test/native/test_dynamic_shape.cpp
#	backends/webgpu/test/ops/dynamic_shape/test_dynamic_shape_export.py
Co-authored-by: JCNTH <107437036+JCNTH@users.noreply.github.com>
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@copilot resolve the merge conflicts in this pull request
Merge conflicts resolved. The four conflicted files have been merged with gh/JCNTH/207/orig and the merge commit has been pushed.
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests (#21666)
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