Issue converting models from TF2 model zoo to ONNX->TRT from Tensorrt OSS

Hello,
I am trying to convert the following models from TF2 model zoo to onnx using TensorRT/create_onnx.py at main · NVIDIA/TensorRT · GitHub provided by TensorRT OSS GitHub - NVIDIA/TensorRT: TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

Faster R-CNN ResNet101 V1 640x640
Faster R-CNN ResNet101 V1 1024x1024
SSD ResNet50 V1 FPN 640x640 (RetinaNet50)

but facing the same error for all the above three models as given below:

INFO:tf2onnx.tf_utils:Computed 4 values for constant folding
INFO:tf2onnx.tfonnx:folding node using tf type=ExpandDims, name=StatefulPartitionedCall/Postprocessor/ExpandDims_2
INFO:tf2onnx.tfonnx:folding node using tf type=ConcatV2, name=StatefulPartitionedCall/MultiscaleGridAnchorGenerator/GridAnchorGenerator/concat
INFO:tf2onnx.tfonnx:folding node using tf type=Select, name=StatefulPartitionedCall/Postprocessor/BatchMultiClassNonMaxSuppression/PadOrClipBoxList/Select_1
INFO:tf2onnx.tfonnx:folding node using tf type=Select, name=StatefulPartitionedCall/Postprocessor/BatchMultiClassNonMaxSuppression/PadOrClipBoxList/Select_8
INFO:tf2onnx.tfonnx:folding node type=Range, name=StatefulPartitionedCall/Postprocessor/range
INFO:tf2onnx.optimizer:Optimizing ONNX model
INFO:tf2onnx.optimizer:After optimization: BatchNormalization -145 (148->3), Cast -656 (1254->598), Const -3386 (3931->545), Identity -66 (66->0), Mul -2 (220->218), ReduceSum -90 (91->1), Reshape -89 (292->203), Shape -91 (195->104), Slice -1 (293->292), Split -2 (13->11), Squeeze -2 (214->212), Sub -90 (201->111), Transpose -607 (631->24), Unsqueeze -101 (228->127)
INFO:ModelHelper:TF2ONNX graph created successfully
[W] colored module is not installed, will not use colors when logging. To enable colors, please install the colored module: python3 -m pip install colored
[W] ‘Shape tensor cast elision’ routine failed with: None
INFO:ModelHelper:Model is ssd_resnet101_v1_fpn_keras
INFO:ModelHelper:Height is 640
INFO:ModelHelper:Width is 640
INFO:ModelHelper:First NMS score threshold is 9.99999993922529e-09
INFO:ModelHelper:First NMS iou threshold is 0.6000000238418579
INFO:ModelHelper:First NMS max proposals is 100
INFO:ModelHelper:ONNX graph input shape: [1, 640, 640, 3] [NCHW format set]
INFO:ModelHelper:Found Conv node ‘StatefulPartitionedCall/ResNet101V1_FPN/functional_1/conv1_conv/Conv2D’ as stem entry
Traceback (most recent call last):
File “create_onnx.py”, line 671, in
main(args)
File “create_onnx.py”, line 646, in main
effdet_gs.update_preprocessor(args.batch_size, args.input_format)
File “create_onnx.py”, line 258, in update_preprocessor
tile_node.outputs =
AttributeError: ‘NoneType’ object has no attribute ‘outputs’

Environment

TensorRT: 8.2.1.8 :
NVIDIA GPU: GTX 1060 6GB :
NVIDIA Driver Version: 470.57.02 :
CUDA Version: 11.4 :
CUDNN Version: 8.2.2.26 :
Operating System: ubuntu 18.04 :
Python Version (if applicable): 3.6.9 :
Tensorflow Version (if applicable): 2.5.1 : :

please Help!!!
Regards