other(test): add unit/e2e tests for attention and triton_kernels #522
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…rage >98%) - Add unit tests for triton_kernels: registration, fake ops, wrappers (prefill + decode for all 5 kernel types) - Add unit tests for v1/attention/backends/flash_attention: custom op impls, backend class, metadata builder, forward dispatch routing, sinks routing - Add host-reference comparison tests parametrized by TP head configs (kv_heads=1/2/4, groups=4/2/1, head_dim=64/128) to validate attention correctness across different tensor parallel configurations - Add e2e compile tests (SDPA, masked, GQA, causal) that run on RBLN NPU via torch.compile(backend="rbln") and compare with host reference - Add edge case tests: multi-batch flash_causal decode, causal prefill mask skip, noncausal decode per-batch mask, missing batch_pad assertion, sliding_window batch_attn_opt int32 cast - Fix UnboundLocalError in forward() for causal+normal and non-causal+normal paths when VLLM_RBLN_COMPILE_MODEL=False (missing else branches) - Add pragma:no-cover to triton.jit kernels and warmup() (NPU-only code) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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release)feature)model)core)fix)perf)refactor)docs)other): please describe🧪 How to Test
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