Gary Lai
Gary Lai
For MNIST, here is a workaround using Torchvision's dataset: ``` def get_data(): import os import torchvision.datasets as datasets root = '../data' if not os.path.exists(root): os.mkdir(root) train_set = datasets.MNIST(root=root, train=True, download=True)...
You could also have `go(name, reload=True, ...args)` although that introduces a breaking change. Meanwhile, I tried commenting out the `reload` function and found a bug. In the level example, if...
> hmm, do you have the full code that I can try? sorry I can't find it anymore, but you should be able to reproduce it just from what I...
Would be nice to have Typesense support!
I think this issue can be closed right? If the vectors are normalized (i.e. with magnitude of 1), the dot product is the exactly the same as cosine similarity because...