Fine-tuning/Inferencing using UniformSample strategy

[datascientistlin]

Hi,

Is there any sample code I could learn from for fine-tuning and inferencing of a pretrained model with Uniform sample strategy (e.g., u16, u32, ect.c)?

I found most of the code samples in the demo folder are built for SampleFrames strategy like 1x1x8. Is there a good place I can start with for uniformly sampled datasets?

Thank you.