[https://nvbugs/5467981][fix] Fix Qwen2.5-VL fails with cuda graph padding #7122
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📝 WalkthroughWalkthroughChanged copying behavior for mrope_position_deltas in run(): determine mrope_num = inputs["mrope_position_deltas"].shape[0] and copy only that slice into self.mrope_position_deltas[:mrope_num]. No other logic or public signatures were modified. Changes
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tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py (1)
1-4: Add NVIDIA copyright header (2025) per repo guidelines.This file lacks the required header. Please prepend the current-year header.
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+# Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. 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.
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tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py (1)
117-119: Good targeted fix for padding mismatch with CUDA graphs.Switching to slice by the actual number of provided deltas (first dim) prevents out-of-bounds/shape mismatches when input_ids are padded but mrope_position_deltas aren’t. This aligns the copy with the real microbatch size and addresses the reported issue.
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Signed-off-by: Dylan Chen <191843203+DylanChen-NV@users.noreply.github.com>
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…dding (NVIDIA#7122) Signed-off-by: Dylan Chen <191843203+DylanChen-NV@users.noreply.github.com>
…dding (NVIDIA#7122) Signed-off-by: Dylan Chen <191843203+DylanChen-NV@users.noreply.github.com>
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Summary by CodeRabbit
Description
When cuda graph is enabled,
input_idswould be padded whilemrope_position_deltaswould not. The issue leads to a shape-mismatch error and is fixed in this PR.Test Coverage
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