NVIDIA / NVIDIA/TensorRT-LLM

TensorRT-LLM 0.17.0.post1 fails to run Whisper on 5080 GPU

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bug Inference runtime Investigating Model customization triaged
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Description

System Info
  • GPU 5080
  • TensorRT-LLM: 0.17.0.post1
  • PyTorch: 2.7.0.dev20250302+cu128
  • CUDA: 12.8
Who can help?

No response

Information
  • The official example scripts
  • My own modified scripts
Tasks
  • An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
  • My own task or dataset (give details below)
Reproduction

tensorrt-llm 0.17.0.post1 requires torch<=2.6.0a0,>=2.5.1, but you have torch 2.7.0.dev20250302+cu128 which is incompatible.

Expected behavior

pass

actual behavior

torchaudio 2.6.0.dev20250302+cu128 requires torch==2.7.0.dev20250302, but you have torch 2.5.1 which is incompatible.

additional notes

Description:
When trying to run Whisper on an NVIDIA 5080 GPU using TensorRT-LLM 0.17.0.post1, the process fails. The issue may be related to compatibility with Torch 2.7.0.dev20250302+cu128 or specific support for the 5080 GPU in TensorRT-LLM.

Steps to Reproduce:

  1. Install the following environment on a system with 5080 GPU:
  • TensorRT-LLM: 0.17.0.post1
  • PyTorch: 2.7.0.dev20250302+cu128
  • CUDA: 12.8
  1. Attempt to accelerate Whisper using TensorRT-LLM.
  2. The execution fails with an error message (see below).
    Expected Behavior:
    Whisper should run successfully on the 5080 GPU with TensorRT-LLM acceleration.

Actual Behavior:
The execution fails, producing the following error (please provide the full error log):
tensorrt-llm 0.17.0.post1 requires torch<=2.6.0a0,>=2.5.1, but you have torch 2.7.0.dev20250302+cu128 which is incompatible.

System Information:

  • GPU: NVIDIA 5080
  • CUDA Version: 12.8
  • TensorRT-LLM Version: 0.17.0.post1
  • PyTorch Version: 2.7.0.dev20250302+cu128
  • Whisper Model Version: (Please specify the exact model version)

Questions & Suggestions:

  • Is there any plan to support Torch 2.7.0.dev20250302+cu128?
  • Is there a workaround or patch available for 5080 GPU compatibility?

Thank you for your support! Looking forward to any guidance or a potential fix.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the reported environment with NVIDIA 5080, CUDA 12.8, TensorRT-LLM 0.17.0.post1, PyTorch 2.7.0.dev20250302+cu128, and torchaudio, then inspect the dependency conflict and Whisper support. Done means identifying a supported compatible combination or documenting the specific limitation and workaround; the issue does not name files or tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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