initialization documentation.
     * **norm_type** (*float**, **optional*) -- See module
       initialization documentation. Default "2".

     * **scale_grad_by_freq** (*bool**, **optional*) -- See module
       initialization documentation. Default "False".

     * **sparse** (*bool**, **optional*) -- See module
       initialization documentation.

  Examples:

     >>> # FloatTensor containing pretrained weights
     >>> weight = torch.FloatTensor([[1, 2.3, 3], [4, 5.1, 6.3]])
     >>> embedding = nn.Embedding.from_pretrained(weight)
     >>> # Get embeddings for index 1
     >>> input = torch.LongTensor([1])
     >>> embedding(input)
     tensor([[ 4.0000,  5.1000,  6.3000]])
