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Fixed some arguments hard coding bugs. #26

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Fixed some arguments hard coding bugs. #26

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2 changes: 1 addition & 1 deletion generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@
embedding_dim=256,
vocab_size=par.vocab_size,
num_layer=6,
max_seq=2048,
max_seq=max_seq,
dropout=0.2,
debug=False, loader_path=load_path)
else:
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6 changes: 3 additions & 3 deletions model.py
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Expand Up @@ -39,9 +39,9 @@ def __init__(self, embedding_dim=256, vocab_size=388+2, num_layer=6,
self.load_ckpt_file(loader_path)

def call(self, inputs, targets, training=None, eval=None, src_mask=None, trg_mask=None, lookup_mask=None):
encoder, weight_encoder = self.Encoder(inputs, training=training, mask=src_mask)
encoder, weight_encoder = self.Encoder(inputs, training=training, mask=src_mask, max_len=self.max_seq)
decoder, weights = self.Decoder(
targets, enc_output=encoder, training=training, lookup_mask=lookup_mask, mask=trg_mask
targets, enc_output=encoder, training=training, lookup_mask=lookup_mask, mask=trg_mask, max_len=self.max_seq
)

fc = self.fc(decoder)
Expand Down Expand Up @@ -275,7 +275,7 @@ def __init__(self, embedding_dim=256, vocab_size=388+2, num_layer=6,

self.Decoder = Encoder(
num_layers=self.num_layer, d_model=self.embedding_dim,
input_vocab_size=self.vocab_size, rate=dropout, max_len=max_seq)
input_vocab_size=self.vocab_size, rate=dropout, max_len=self.max_seq)
self.fc = keras.layers.Dense(self.vocab_size, activation=None, name='output')

self._set_metrics()
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3 changes: 2 additions & 1 deletion train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,8 @@


# load data
dataset = Data('dataset/processed')
#dataset = Data('dataset/processed')
dataset = Data(pickle_dir)
print(dataset)


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