[ExecuTorch][WebGPU] Enable + golden granular ops (elementwise/bool, shape/movement, pooling, conv/sampling)#21227
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[ExecuTorch][WebGPU] Enable + golden granular ops (elementwise/bool, shape/movement, pooling, conv/sampling)#21227JCNTH wants to merge 1 commit into
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21227
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 46 New Failures, 3 Unrelated FailuresAs of commit 37dd372 with merge base 266e0dc ( NEW FAILURES - The following jobs have failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This was referenced Jul 22, 2026
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Approving full WebGPU stack
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Stack from ghstack (oldest at bottom):
Problem: These ops already had kernels in the granular tree but were absent from WEBGPU_SUPPORTED_OPS, so the op-test framework neither delegated nor golden-tested them.
Solution: Add to the allowlist: minimum, div.Tensor_mode (floor_divide), logical_and, bitwise_and, bitwise_not, flip, repeat, index_select, avg_pool2d, pixel_shuffle, convolution (depthwise conv1d), conv_with_clamp, grid_sampler_2d, grid_priors.
Differential Revision: D112257605