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Seeing --rnn_layer_number in the list of options, I gave it a go with 2 instead of the default 1 and got the following error (large number of tensorflow traceback lines removed):
Traceback (most recent call last):
File "segmenter.py", line 261, in <module>
rnn_num=args.rnn_layer_number, drop_out=args.dropout_rate, emb=emb)
File "/[...]/model.py", line 130, in main_graph
scope='BiRNN')(emb_out, input_v)
File "/[...]/layers.py", line 236, in __call__
scope=self.scope)
[...]
ValueError: Dimensions must be equal, but are 400 and 250 for 'tagger/BiRNN_1/fw/fw/while/fw/multi_rnn_cell/cell_0/gru_cell/MatMul_2' (op: 'MatMul') with input shapes: [?,400], [250,400].
If this option is currently unsupported it might be better to comment out the respective argparser line.
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