[https://nvbugs/5504086][fix] Fix MTP vanilla #7904
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PR_Github #19553 [ run ] triggered by Bot |
📝 WalkthroughWalkthroughThe MTPWorker.forward method now restores attention metadata whenever attn_metadata is not None, removing the is_cuda_graph condition. A test waiver entry was deleted to re-enable a specific integration test. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant U as Caller
participant W as MTPWorker.forward
participant A as restore_attn_metadata
U->>W: forward(input_ids, attn_metadata, ...)
alt attn_metadata is not None
note over W,A: Changed: always restore when non-None (was gated by is_cuda_graph)
W->>A: restore_attn_metadata(attn_metadata)
A-->>W: metadata restored
else
W-->>U: proceed without restoration
end
W-->>U: return outputs
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
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⚠️ Outside diff range comments (1)
tensorrt_llm/_torch/speculative/mtp.py (1)
1-1: Add required NVIDIA Apache‑2.0 header (2025).Per repo guidelines, prepend the license header to this source file.
Apply at file top:
+# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# http://www.apache.org/licenses/LICENSE-2.0 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License.
🧹 Nitpick comments (1)
tensorrt_llm/_torch/speculative/mtp.py (1)
475-478: attn_metadata None‑checks are redundant; consider asserting non‑None once.attn_metadata is used unconditionally earlier (e.g., Line 445), so these guards are dead code. Prefer a single early assert for clarity.
def forward( @@ - # update attn metadata - if attn_metadata is not None: - self.change_attn_metadata(num_accepted_tokens, attn_metadata) - draft_inputs.update(attn_metadata=attn_metadata) + # update attn metadata + self.change_attn_metadata(num_accepted_tokens, attn_metadata) + draft_inputs.update(attn_metadata=attn_metadata) @@ - # restore attn metadata - if attn_metadata is not None: - self.restore_attn_metadata(attn_metadata=attn_metadata) + # restore attn metadata + self.restore_attn_metadata(attn_metadata=attn_metadata)Optionally add near function start:
+ assert attn_metadata is not NoneAlso applies to: 516-518
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tensorrt_llm/_torch/speculative/mtp.py (1)
tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py (1)
attn_metadata(93-94)
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tensorrt_llm/_torch/speculative/mtp.py (1)
516-518: Verify restore_from_spec_dec restores kv_lens_cuda and kv_cache_params bookkeepingUnconditional restore looks correct: restore_from_spec_dec reassigns attributes from self._saved_tensors and clears it (attention_backend/interface.py::restore_from_spec_dec). change_attn_metadata was not located in the repo search, so cannot confirm which fields it saves — confirm that change_attn_metadata records kv_lens_cuda and any kv_cache_params fields (notably num_cached_tokens_per_seq) into _saved_tensors, and that restore_from_spec_dec is invoked on all CUDA‑graph and non‑graph exit paths (see speculative/mtp.py and speculative/drafting_loops.py restore call sites).
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