Description
A clear and concise description of the bug or issue.
Environment
TensorRT Version: 10.8
GPU Type: L4
Nvidia Driver Version:
CUDA Version: 12.2
CUDNN Version:
Operating System + Version: Ubuntu 22.04
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):
Steps To Reproduce
convert a D-FINE ONNX model to a quantized int8 engine
/usr/src/tensorrt/bin/trtexec --onnx=d_fine.onnx --saveEngine=dfine_int8_b1.engine --calib=calib.cache --int8
fails with:
[TRT] [E] IBuilder::buildSerializedNetwork: Error Code 10: Internal Error (Could not find any implementation for node /model/encoder/fpn_blocks.1/cv4/conv_bn_fused/Conv + PWN(PWN(/model/encoder/fpn_blocks.1/cv4/act/Sigmoid), PWN(/model/encoder/fpn_blocks.1/cv4/act/Mul)).)
I can provide the calibration file & the onnx for this, if needed. I have successfully run this conversion with tensorrt 8.6, so I think there is nothing particular about the model.