ah sorry, it doesn’t look like cache now. I change around 1000 sample, immediately after change data I run the model with new data, and around 127 sample has different labels. I guess it maybe due to prefetch or something similar that the pipeline get some of old sample into its buffer, but it still remain the same after I remove prefetch. Is there anyway to clean buffer of old dataset in pipeline?
For a runnable example, it’s a bit hard since it looks like I need to upload the whole model to see the problem I’m talking about.