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add arguments for beam_search func #7

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add arguments for beam_search func #7

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12 changes: 8 additions & 4 deletions decode_beam.py
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Original file line number Diff line number Diff line change
Expand Up @@ -64,16 +64,20 @@ def eval(self, alpha=1.0):
decoder = DecoderRNN()


def beam_decode(target_tensor, decoder_hiddens, encoder_outputs=None):
def beam_decode(target_tensor,
decoder_hiddens,
encoder_outputs=None，
topk=1,
beam_width=10,
SOS_token=0,
EOS_token=10):
'''
:param target_tensor: target indexes tensor of shape [B, T] where B is the batch size and T is the maximum length of the output sentence
:param decoder_hidden: input tensor of shape [1, B, H] for start of the decoding
:param encoder_outputs: if you are using attention mechanism you can pass encoder outputs, [T, B, H] where T is the maximum length of input sentence
:param topk: how many sentence do you want to generate
:return: decoded_batch
'''

beam_width = 10
topk = 1 # how many sentence do you want to generate
decoded_batch = []

# decoding goes sentence by sentence
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