Why does EmbeddingBag expect length of vocab as number of embeddings?
num_embeddings - size of the dictionary of embeddings
https://pytorch.org/docs/stable/nn.html?highlight=embeddingbag#torch.nn.EmbeddingBag 1
I’m following the example here https://pytorch.org/tutorials/beginner/text_sentiment_ngrams_tutorial.html 1