1 import torch
2 import torch.nn as nn
3 from torch.autograd import Variable
4
5 word2id = {'hello': 0, 'world': 1}
6 # you have 2 words, and then need 5 dim each word
7 embeds = nn.Embedding(2, 5)
8 # we need variable, because we need use element of nn.Embedding
9 hello_idx = torch.LongTensor([word2id['hello']])
10 print(hello_idx)
11 hello_idx = Variable(hello_idx)
12 print(hello_idx)
13 # achieve the initial word_embedding of 'hello'
14 hello_embed = embeds(hello_idx)
15 print(hello_embed)
16 '''
17 0
18 [torch.LongTensor of size 1]
19
20 Variable containing:
21 0
22 [torch.LongTensor of size 1]
23
24 Variable containing:
25 1.1842 0.6819 -0.8768 -1.5130 0.7650
26 [torch.FloatTensor of size 1x5]
27 '''
