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[ExecuTorch][WebGPU] Test byte-packed BOOL tails - #21664

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JCNTH merged 3 commits into
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gh/JCNTH/206/orig
Aug 7, 2026
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[ExecuTorch][WebGPU] Test byte-packed BOOL tails#21664
JCNTH merged 3 commits into
gh/JCNTH/205/origfrom
gh/JCNTH/206/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: #21599 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/206/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/206/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/205/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/206/orig
Differential Revision: D114936146
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**Exercise byte-packed BOOL tails through export and native execution**

Manifest and export coverage now proves exact `BOOL` storage and numeric `BOOL`-to-fp32 conversion across word-aligned and tail lengths. The native driver preserves `BOOL` metadata and compares canonical raw 0/1 bytes rather than semantic truth values.

Key changes:

- Length coverage — exercises 1, 4, 5, and 67 elements.
- Export assertions — keep the fp32 cast inside the delegate while `INT8` stays outside the `BOOL` route.
- Native validation — checks direct inputs, comparison outputs, and raw tail bytes.

This is coverage-only; runtime kernels are unchanged.

Co-authored-with: Claude Code.

Differential Revision: [D114936146](https://our.internmc.facebook.com/intern/diff/D114936146/)
ghstack-source-id: 411044629
Pull-Request: #21599
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21664

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@meta-cla meta-cla Bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Aug 7, 2026
JCNTH and others added 2 commits August 7, 2026 10:32
**Add a buffer-only groups=1 Conv1d kernel for Voxtral encoder shapes**

The WebGPU backend handled only K=1 pointwise and depthwise Conv1d, leaving non-transposed groups=1 K=3 encoder convolutions unsupported.

**Before**

- Groups=1 K>1 graphs had no valid WebGPU route.

**After**

- A direct NCL buffer kernel supports groups=1 convolution with stride, padding, dilation, and optional bias.

Key changes:

- `add_conv1d_node` — validates fp32 operands, geometry, shapes, and shader index ranges.
- `conv1d.wgsl` — mirrors Vulkan output indexing in `backends/vulkan/runtime/graph/ops/glsl/conv1d.glsl:78`, stride/padding at `:86`, and the kernel FMA loop at `:108`.
- Dispatch and resize hooks — fold x/y workgroups and recompute live parameters safely.
- Generated sources — refresh WGSL headers, registry output, and drift digests.

The route remains limited to non-transposed groups=1 fp32 convolution; existing pointwise and depthwise routes are unchanged.

Co-authored-with: Claude Code.

Differential Revision: [D114936145](https://our.internmc.facebook.com/intern/diff/D114936145/)
ghstack-source-id: 411044636
Pull-Request: #21600
@JCNTH
JCNTH merged commit daad2d1 into gh/JCNTH/205/orig Aug 7, 2026
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@JCNTH
JCNTH deleted the gh/JCNTH/206/orig branch August 7, 2026 17:32
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