NVIDIA / NVIDIA/TensorRT

Quantized Inference failure of TensorRT 8.6 when running SDXL-turbo model on GPU A10

Open
#3,710 7 comments 0 reactions 1 assignee View on GitHub

@rajeevsrao is already working on this.

Since Mar 16, 2024.

triaged
Dominant language
C++
Stars
13.4k
Forks
2.4k
Avg merge
5d 3h
Merged PRs (30d)
2

Description

Description

Environment

TensorRT Version:8.6

NVIDIA GPU:A10

NVIDIA Driver Version:525.147.05

CUDA Version:12.0

CUDNN Version:8.9

Operating System:

Python Version (if applicable):

Tensorflow Version (if applicable):

PyTorch Version (if applicable):

Baremetal or Container (if so, version):

Relevant Files

Model link:
dreamshaper(turbo version)

Steps To Reproduce

Commands or scripts:

Have you tried the latest release?:

Can this model run on other frameworks? For example run ONNX model with ONNXRuntime (polygraphy run <model.onnx> --onnxrt):

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.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.