[ExecuTorch][WebGPU] split_with_sizes_copy op tests#20996
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20996
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[ExecuTorch][WebGPU] Add relu op (shared unary handler; sigmoid adopts make_compute_pipeline)
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Pull Request resolved: #20996 **Op-test suite for `aten.split_with_sizes_copy.default`** (stacked on the split_with_sizes_copy op diff). Adds `test/ops/test_split_with_sizes_copy.py` (`SplitWithSizesModule` — `torch.split` by a size list) + a `@register_op_test("split_with_sizes_copy")` suite in `test/op_tests/cases.py` (3 cases: a 3-way channel split, a dim-0 split, and a last-dim split). Multi-output: the framework compares chunk 0 (out_index 0) while each case exercises all N per-chunk dispatches. `copy` is bit-exact, so the golden is float32. ghstack-source-id: 403871287 @exported-using-ghexport Differential Revision: [D112417279](https://our.internmc.facebook.com/intern/diff/D112417279/)
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Stack from ghstack (oldest at bottom):
Op-test suite for
aten.split_with_sizes_copy.default(stacked on the split_with_sizes_copy op diff).Adds
test/ops/test_split_with_sizes_copy.py(SplitWithSizesModule—torch.splitby a size list) + a@register_op_test("split_with_sizes_copy")suite intest/op_tests/cases.py(3 cases: a 3-way channel split, a dim-0 split, and a last-dim split). Multi-output: the framework compares chunk 0 (out_index 0) while each case exercises all N per-chunk dispatches.copyis bit-exact, so the golden is float32.Differential Revision: D112417279