I have been working with pretrained embeddings (Glove) and would like to allow these to be finetuned. I currently use embeddings like this:
    word_embeddingsA = nn.Embedding(vocab_size, embedding_length)
    word_embeddingsA.weight = nn.Parameter(TEXT.vocab.vectors, requires_grad=False)

Should I simply set requires_grad=True to allow the embeddings to be trained? Or should I do something like this
    word_embeddingsA = nn.Embedding.from_pretrained(TEXT.vocab.vectors, freeze=False)

Are these equivalent, and do I have a way to check that the embeddings are getting trained?