I’ve been playing around since a week now trying to get my custom trained ssd_mobilenet_v2_coco_2018_03_29 model running with TensorRT.
I’ve seen a few successful attempts here but I can’t understand how they managed to bypass the unsupported CAST operation.
Basically my graph is full of CAST layers, apparently not supported (but soon to ?) by TensorRT.
How is it that my model contains CAST layers when it does not appears to be the case for everyone ?
I’ve downloaded the model from the official tensorflow model zoo , retrained it following the official tutorial, and froze it using the official export script.
Is it depending on some parameters ? Tensorflow version ? …
If anyone can shed light on this that would be much appreciated !