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Fixed shape documentation #131

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Apr 2, 2018
Merged

Fixed shape documentation #131

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4 changes: 2 additions & 2 deletions seq2seq/models/TopKDecoder.py
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Expand Up @@ -49,8 +49,8 @@ class TopKDecoder(torch.nn.Module):
Inputs: inputs, encoder_hidden, encoder_outputs, function, teacher_forcing_ratio
- **inputs** (seq_len, batch, input_size): list of sequences, whose length is the batch size and within which
each sequence is a list of token IDs. It is used for teacher forcing when provided. (default is `None`)
- **encoder_hidden** (batch, seq_len, hidden_size): tensor containing the features in the hidden state `h` of
encoder. Used as the initial hidden state of the decoder.
- **encoder_hidden** (num_layers * num_directions, batch_size, hidden_size): tensor containing the features
in the hidden state `h` of encoder. Used as the initial hidden state of the decoder.
- **encoder_outputs** (batch, seq_len, hidden_size): tensor with containing the outputs of the encoder.
Used for attention mechanism (default is `None`).
- **function** (torch.nn.Module): A function used to generate symbols from RNN hidden state
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