PREFIX: I'm very new to all of this ML stuff. I've spent the last week learning the high level strokes of using GANs to generate images, and built a Generator and Discriminator in PyTorch, trained the models, and saved the generator to ONNX. I've now brought that trained model into Unity and following the basic example in the Barracuda docs have set up a simple GO that upon scene start attempts to setup and run a worker. However I can't seem to figure out the proper way to generate the input Tensor data. In my PyTorch code, I generate a noise sample for the generator as such: torch.randn(sample_size, 100, 1, 1) However the format of Tensor() in Barracuda seems to be different and the same inputs simply throws an error. Could any kind soul help me close this hopefully last bit of the loop?