senteval/tools/ranking.py [279:290]:
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        with torch.no_grad():
            # Project images and captions
            img_embed, sent_embed = [], []
            for i in range(0, len(images), self.batch_size):
                img_embed.append(self.model.proj_image(
                    Variable(images[i:i + self.batch_size])))
                sent_embed.append(self.model.proj_sentence(
                    Variable(captions[i:i + self.batch_size])))
            img_embed = torch.cat(img_embed, 0).data
            sent_embed = torch.cat(sent_embed, 0).data

            npts = int(img_embed.size(0) / 5)
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senteval/tools/ranking.py [319:330]:
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        with torch.no_grad():
            # Project images and captions
            img_embed, sent_embed = [], []
            for i in range(0, len(images), self.batch_size):
                img_embed.append(self.model.proj_image(
                    Variable(images[i:i + self.batch_size])))
                sent_embed.append(self.model.proj_sentence(
                    Variable(captions[i:i + self.batch_size])))
            img_embed = torch.cat(img_embed, 0).data
            sent_embed = torch.cat(sent_embed, 0).data

            npts = int(img_embed.size(0) / 5)
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