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[ExecuTorch][WebGPU] Port grid_sampler_2d#21179

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[ExecuTorch][WebGPU] Port grid_sampler_2d#21179
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@JCNTH JCNTH commented Jul 22, 2026

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Stack from ghstack (oldest at bottom):

Ports aten.grid_sampler_2d.default as a bilinear grid sample, the last Phase B (vision) float op. Mirrors Vulkan's config-specific implementation: bilinear interpolation, border padding, align_corners=true.

Key changes:

  • runtime/ops/grid_sampler_2d/{GridSampler2d.cpp, grid_sampler_2d.wgsl} (+ generated _wgsl.h) — per NCHW output element: read the normalized (gx, gy) from grid[N, out_h, out_w, 2], unnormalize (g+1)*0.5*(in_size-1) (align_corners), clamp to [0, in_size-1] (border), gather the 4 neighbors, out = mix(mix(s00,s10,wx), mix(s01,s11,wx), wy). Registered aten.grid_sampler_2d.default.
  • CMakeLists.txtruntime/ops/grid_sampler_2d/GridSampler2d.cpp in WEBGPU_SRCS.

Mirrors Vulkan glsl/grid_sampler_2d.glsl (same coord/clamp/interp) + impl/GridSampler2d.cpp (arg order [in, grid, interp, padding, align, out]; fail-loud VK_CHECK_COND guards for interp==bilinear / padding==border / align_corners==true; grid a contiguous [N,Hout,Wout,2] buffer). Buffer NCHW re-derivation (Vulkan is texture). The grid is bound as an array<f32> read buffer. A dynamic-shape resize hook recomputes out=[in.N, in.C, grid.Hout, grid.Wout] + params + dispatch; it triggers on BOTH in and grid (the out shape depends on grid), mirroring how mul hooks both operands. Fail-loud guards: config, 4D in/out/grid, fp32 in/out + grid == N*Hout*Wout*2, out numel <= u32.

Differential Revision: D112257585

[ghstack-poisoned]
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pytorch-bot Bot commented Jul 22, 2026

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21179

Note: Links to docs will display an error until the docs builds have been completed.

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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 Jul 22, 2026
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JCNTH requested a review from psiddh July 23, 2026 02:08

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Approving full WebGPU stack

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