[ExecuTorch][WebGPU] Add bitwise_or + logical_or ops (bool)#21230
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21230
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Approving full WebGPU stack
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Stack from ghstack (oldest at bottom):
Add
aten.bitwise_or.Tensor+aten.logical_or.defaultto the WebGPU backend — the OR counterpart to the existingbitwise_and/logical_andfamily, closing the last bool-binary parity gap with Vulkan. Both overloads share one handler (logical_or_op); on canonical 0/1 bool bytes the word-wise|over the packedu32buffer equals a per-byte OR. Kernel-only: the Vulkan partitioner already tags both ops (op_registry.pyregister_bool_binary_ops), so no partitioner change.Key changes:
runtime/ops/logical_or/—logical_or.wgsl(t_out = t_a | t_b, bool packed 4/word) +LogicalOr.cpp(one handler; bool-only +numel % 4guards + dynamic-shape resize hook; registers both overloads). Mirrorslogical_and.test/ops/test_logical_or.py+op_tests/cases.py— delegation smoke + op-test golden for both ops (two ~50% masks -> OR ~75% True, which distinguishes OR from an AND mutant).CMakeLists.txt— wirelogical_or/LogicalOr.cpp.Co-authored-with: Claude Code.
Differential Revision: D112483463