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[None][autodeploy] small refactors on attention matching #8079
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📝 WalkthroughWalkthroughUnified attention custom op to auto_deploy::torch_attention with explicit layout handling ("bnsd" or "bsnd"), removed legacy grouped SDPA variants, updated backends and model patches to reference the new op, introduced dynamic generation/registration of attention transform patterns, adjusted sharding/KV-cache transformers, and updated tests and README accordingly. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor Caller as Model/Module
participant Op as torch.ops.auto_deploy.torch_attention
participant Impl as Attention Impl
participant Kernel as Grouped SDPA Kernel
Caller->>Op: torch_attention(Q,K,V, ..., layout)
Note over Op: Validate layout in {"bnsd","bsnd"}
alt layout == "bsnd"
Op->>Impl: Transpose inputs to internal bnsd
else layout == "bnsd"
Op->>Impl: Use inputs as-is
end
Impl->>Kernel: Compute attention (grouped SDPA)
alt layout == "bsnd"
Impl->>Op: Transpose output back to bsnd
else
Impl-->>Op: Return bnsd output
end
Op-->>Caller: Output tensor
sequenceDiagram
autonumber
participant Gen as Pattern Generators
participant Reg as ADPattern Registry
participant GM as GraphModule
participant Pass as Transform Pass
Gen->>Reg: Generate grouped-attn patterns
Gen->>Reg: Generate layout patterns (bnsd/bsnd)
Pass->>GM: Apply registered patterns
alt Matches found
GM-->>Pass: Replacements applied
else No matches
GM-->>Pass: No-op
end
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Pre-merge checks and finishing touches❌ Failed checks (2 warnings, 1 inconclusive)
✨ Finishing touches
🧪 Generate unit tests
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**/*.py📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
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**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
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🧬 Code graph analysis (10)tensorrt_llm/_torch/auto_deploy/custom_ops/torch_backend_attention.py (1)
tensorrt_llm/_torch/auto_deploy/models/patches/gptoss.py (1)
tensorrt_llm/_torch/auto_deploy/custom_ops/triton_attention.py (1)
tensorrt_llm/_torch/auto_deploy/transform/library/sharding.py (1)
tests/unittest/_torch/auto_deploy/unit/singlegpu/transformations/library/test_kv_cache.py (1)
tensorrt_llm/_torch/auto_deploy/transform/library/kvcache_transformers.py (1)
tests/unittest/_torch/auto_deploy/unit/multigpu/transformations/library/test_tp_sharding.py (1)
tests/unittest/_torch/auto_deploy/unit/singlegpu/transformations/library/test_attention_matcher_hf.py (2)
tests/unittest/_torch/auto_deploy/unit/singlegpu/transformations/library/test_attention_matcher.py (3)
tensorrt_llm/_torch/auto_deploy/transform/library/attention.py (2)
🪛 Ruff (0.13.1)tensorrt_llm/_torch/auto_deploy/custom_ops/torch_attention.py119-119: Avoid specifying long messages outside the exception class (TRY003) 218-218: Unused function argument: (ARG001) 220-220: Unused function argument: (ARG001) 221-221: Unused function argument: (ARG001) 222-222: Unused function argument: (ARG001) 223-223: Unused function argument: (ARG001) 224-224: Unused function argument: (ARG001) 225-225: Unused function argument: (ARG001) 226-226: Unused function argument: (ARG001) 227-227: Unused function argument: (ARG001) tensorrt_llm/_torch/auto_deploy/transform/library/attention.py389-389: Use explicit conversion flag Replace with conversion flag (RUF010) 402-402: Use explicit conversion flag Replace with conversion flag (RUF010) 426-426: Use of (S102) 443-443: Use of (S102) 512-512: Avoid specifying long messages outside the exception class (TRY003) 600-600: Use explicit conversion flag Replace with conversion flag (RUF010) 622-622: Use of (S102) 643-643: Use of (S102) 699-699: Avoid specifying long messages outside the exception class (TRY003) 754-754: Avoid specifying long messages outside the exception class (TRY003) ⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
🔇 Additional comments (23)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
tensorrt_llm/_torch/auto_deploy/transform/library/kvcache_transformers.py
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can you make sure that for nvidia/Nemotron-H-8B-Base-8K we still detect and replace attention as expected?
tensorrt_llm/_torch/auto_deploy/transform/library/kvcache_transformers.py
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lgtm as well. Please make sure to test the two experiments I mentioned
…ention_layout to use pattern matcher Signed-off-by: Frida Hou <201670829+Fridah-nv@users.noreply.github.com>
Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com>
Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com>
Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com>
Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com>
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PR_Github #20617 [ run ] triggered by Bot |
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PR_Github #20617 [ run ] completed with state |
This PR does the following:
Summary by CodeRabbit
New Features
Refactor
Documentation
Tests
Description
Test Coverage
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Test cases are provided for new code paths (see test instructions)
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CODEOWNERS updated if ownership changes
Documentation updated as needed
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Please check this after reviewing the above items as appropriate for this PR.
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