Method tokenize

utils/clip_eval.py:23–24

(self, strings: list)

                                              clip_preprocess.transforms[4:])                                       # + skip convert PIL to tensor

    def tokenize(self, strings: list):
        return clip.tokenize(strings).to(self.device)

    @torch.no_grad()
    def encode_text(self, tokens: list) -> torch.Tensor: