Natural Language Understanding #536
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astonzhang
reviewed
Dec 3, 2019
| import sys | ||
| sys.path.insert(0, '../../..') | ||
| import d2l | ||
| #import d2lzh as d2l |
astonzhang
reviewed
Dec 3, 2019
| # 拼接每一个词和其对齐词表示，并通过前馈神经网络 | ||
| v1 = self.g(np.concatenate([a, beta], axis=2)) | ||
| v2 = self.g(np.concatenate([b, alpha], axis=2)) | ||
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astonzhang
reviewed
Dec 3, 2019
| def forward(self, a, b): | ||
| # 分别将两个句子通过前馈神经网络，维度为(批量大小, 句子长度, 隐藏单元数目) | ||
| tilde_a = self.f(a) | ||
| tilde_b = self.f(b) |
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tilde_a -> f_a, tilde_b -> f_b
astonzhang
reviewed
Dec 3, 2019
| def split_batch_multi_input(X, y, ctx_list): | ||
| """Split X and y into multiple devices specified by ctx""" | ||
| X = list(zip(*[gluon.utils.split_and_load(feature, ctx_list, even_split=False) for feature in X])) | ||
| return (X, |
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