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Fix some typos. (#329)
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@ -89,9 +89,9 @@ class Decoder(nn.Module):
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- (h, c), containing the state information for LSTM layers.
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Both are of shape (num_layers, N, C)
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"""
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embeding_out = self.embedding(y)
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embeding_out = self.embedding_dropout(embeding_out)
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rnn_out, (h, c) = self.rnn(embeding_out, states)
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embedding_out = self.embedding(y)
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embedding_out = self.embedding_dropout(embedding_out)
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rnn_out, (h, c) = self.rnn(embedding_out, states)
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out = self.output_linear(rnn_out)
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return out, (h, c)
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@ -93,9 +93,9 @@ class Decoder(nn.Module):
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- (h, c), containing the state information for LSTM layers.
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Both are of shape (num_layers, N, C)
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"""
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embeding_out = self.embedding(y)
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embeding_out = self.embedding_dropout(embeding_out)
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rnn_out, (h, c) = self.rnn(embeding_out, states)
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embedding_out = self.embedding(y)
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embedding_out = self.embedding_dropout(embedding_out)
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rnn_out, (h, c) = self.rnn(embedding_out, states)
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out = self.output_linear(rnn_out)
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return out, (h, c)
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@ -84,9 +84,9 @@ class Decoder(nn.Module):
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- (h, c), which contain the state information for RNN layers.
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Both are of shape (num_layers, N, C)
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"""
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embeding_out = self.embedding(y)
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embeding_out = self.embedding_dropout(embeding_out)
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rnn_out, (h, c) = self.rnn(embeding_out, states)
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embedding_out = self.embedding(y)
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embedding_out = self.embedding_dropout(embedding_out)
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rnn_out, (h, c) = self.rnn(embedding_out, states)
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out = self.output_linear(rnn_out)
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return out, (h, c)
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