[Vulkan] Honor GELU approximate='none' and keep kwargs off inserted views - #23204
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…iews The Vulkan gelu kernel always used the tanh approximation, so exact GELU, PyTorch's default, was delegated with a different result. It now evaluates an erf-based form unless approximate='tanh' is requested. SqueezeUnsqueezeInputs copied the original node's kwargs onto the view_copy nodes it inserts, which broke gelu on inputs with singleton dimensions. This also adds test_vulkan_dynamic.py, which lowers with require_dynamic_shapes and runs each program across several input shapes; later changes extend it. Authored with OpenAI Codex; split planned with Claude Code.
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/23204
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Superseded by #23243, part 4/15 of the ghstack replacement series. The current integration PR is #23254. This PR is closed in favor of the replacement; its previous description and review history are retained.
The Vulkan gelu kernel always used the tanh approximation, so exact GELU, PyTorch's default, was delegated with a different result. It now evaluates an erf-based form unless approximate='tanh' is requested. SqueezeUnsqueezeInputs copied the original node's kwargs onto the view_copy nodes it inserts, which broke gelu on inputs with singleton dimensions. This also adds test_vulkan_dynamic.py, which lowers with require_dynamic_shapes and runs each program across several input shapes; later changes extend it.
Part 4/15 of the Vulkan transformer and operator-conformance stack. Depends on #23203; review against the selected base branch. Integration PR: #23162.
Validation: 2 passed, 2 warnings in 36.51s. Lintrunner and git diff --check pass. Native tests use MoltenVK with portable CPU kernels; hardware and SwiftShader CI are pending.
Authored with OpenAI Codex; split planned with Claude Code.
cc @SS-JIA @manuelcandales @digantdesai @cbilgin