tensorRT for yolo v3 int8 optimization failed ?

I build a network with Network Definition API,and generate kFLOAT engine successful, and images detection result is right. But with the API “builder->setInt8Mode(true); builder->setInt8Calibrator(calibrator);”, I generate kInt8 engine failed, with this error:“…/builder/cudnnBuilder2.cpp:685: virtual std::vector<nvinfer1::query::Portsnvinfer1::query::TensorRequirements > nvinfer1::builder::Node::getSupportedFormats(const nvinfer1::query::Portsnvinfer1::query::AbstractTensor&, const nvinfer1::cudnn::HardwareContext&, nvinfer1::builder::Format::Type, const nvinfer1::builder::FormatTypeHack&) const: Assertion `sf’ failed.
Aborted (core dumped)”.

Facing the same problem here.
I really love this kind of esoteric error messages…
What does it mean?

[url]tensorflow/batch_matmul_test.py at 77456c6611fd2faa07d6efabafb3f61f82a24eed · tensorflow/tensorflow · GitHub

Hello, can you provide details on the platforms you are using?

Linux distro and version
GPU type
nvidia driver version
CUDA version
CUDNN version
Python version [if using python]
Tensorflow version
TensorRT version

It’d help us debug if you can provide a small repro package containing the source, model, dataset (if applicable) that exhibit the symptoms you are seeing.