image_to_label = image_logits.argmax(dim=1)

This code snippet is using PyTorch to convert the logits (output of a neural network) from an image classification model into class labels.

The `argmax` function returns the index of the maximum element along a specified dimension (in this case, `dim=1`, which corresponds to the class dimension). So `image_logits.argmax(dim=1)` returns a tensor of the same shape as `image_logits`, but with each element replaced by its corresponding class label (the index of the class with the highest probability).

This is useful for evaluating the performance of the model on a dataset with known labels, and for predicting the class of new images.