|
23 | 23 | {
|
24 | 24 | "data": {
|
25 | 25 | "text/plain": [
|
26 |
| - "<torch._C.Generator at 0x7f8e8fe2faf8>" |
| 26 | + "<torch._C.Generator at 0x7fc1f6cb9af8>" |
27 | 27 | ]
|
28 | 28 | },
|
29 | 29 | "execution_count": 1,
|
|
1725 | 1725 | " \n",
|
1726 | 1726 | " def forward(self, sentence):\n",
|
1727 | 1727 | " embeds = self.word_embeddings(sentence)\n",
|
1728 |
| - " lstm_out, self.hidden = self.lstm(embeds.view(len(sentence), 1, -1))\n", |
| 1728 | + " lstm_out, self.hidden = self.lstm(embeds.view(len(sentence), 1, -1), self.hidden)\n", |
1729 | 1729 | " tag_space = self.hidden2tag(lstm_out.view(len(sentence), -1))\n",
|
1730 | 1730 | " tag_scores = F.log_softmax(tag_space)\n",
|
1731 | 1731 | " return tag_scores"
|
|
1819 | 1819 | "output_type": "stream",
|
1820 | 1820 | "text": [
|
1821 | 1821 | "Variable containing:\n",
|
1822 |
| - "-0.0470 -3.2207 -5.1232\n", |
1823 |
| - "-5.1421 -0.0170 -4.5112\n", |
1824 |
| - "-3.5239 -4.0976 -0.0472\n", |
1825 |
| - "-0.0289 -4.2609 -4.2454\n", |
1826 |
| - "-4.3491 -0.0326 -3.9552\n", |
| 1822 | + "-0.1980 -1.7581 -4.9260\n", |
| 1823 | + "-5.8300 -0.0094 -5.0523\n", |
| 1824 | + "-3.5314 -3.9384 -0.0500\n", |
| 1825 | + "-0.0316 -4.1675 -4.1612\n", |
| 1826 | + "-4.4157 -0.0316 -3.9622\n", |
1827 | 1827 | "[torch.FloatTensor of size 5x3]\n",
|
1828 | 1828 | "\n"
|
1829 | 1829 | ]
|
|
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