Converting UFF from Tensorflow

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

When I convert to UFF from Tensorflow model, there are warnings.

Using output node Openpose/output
Converting to UFF graph
Warning: No conversion function registered for layer: ResizeArea yet.
Converting upsample_pafmat as custom op: ResizeArea
W0724 15:34:17.662156 140177412466432 deprecation_wrapper.py:119] From /home/coie/Data/coie/Softwares/venv/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py:179: The name tf.AttrValue is deprecated. Please use tf.compat.v1.AttrValue instead.

Warning: No conversion function registered for layer: ResizeArea yet.
Converting upsample_heatmat as custom op: ResizeArea
Warning: No conversion function registered for layer: Select yet.
Converting Select as custom op: Select
Warning: No conversion function registered for layer: Fill yet.
Converting zeros_like as custom op: Fill
Warning: No conversion function registered for layer: Equal yet.
Converting Equal as custom op: Equal
No. nodes: 475
UFF Output written to ../Multithreading/CreateEnginefromNetwork/CMUNet/cmu/frozen_model.uff

For those warnings, do I need to implement plugins for ResizeArea, Select, Fill, Equal?

2

I think so and I was also wondering how to implement those custom layers. Not familiar with cublas nor cuda.

3

Yes same. I also have difficulty.