[None][bug] fix export for microsoft/Phi-3-medium-128k-instruct #10455
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Signed-off-by: Tal Cherckez <[email protected]>
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tensorrt_llm/_torch/auto_deploy/models/patches/phi.py (1)
1-1: Add required NVIDIA copyright header.This file is missing the NVIDIA copyright header that is required for all TensorRT-LLM source files per coding guidelines.
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Add this at the top of the file (adjust year to 2026 based on the PR date):
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# 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. + """ Patch RotaryEmbedding implementations in Phi3/Phi4 models for torch.export compatibility.As per coding guidelines.
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tensorrt_llm/_torch/auto_deploy/models/patches/phi.py (1)
73-77: LGTM! Buffer registration correctly fixes the export bug.The change from plain attribute to registered buffer ensures
ext_factorsis properly moved to CUDA withmod.to(device)calls. The implementation follows the same pattern asinv_freqhandling (lines 38-39), with defensive buffer removal before registration and consistent CPU initialization.
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Signed-off-by: Tal Cherckez <[email protected]>
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ext_factors was created as a regular attribute instead of a buffer, so it wasn't moved to CUDA when mod.to(device) was called, leaving it as a meta tensor during CUDA graph capture.
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