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authorÉtienne Simon <esimon@esimon.eu>2015-07-21 18:26:43 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-07-21 18:27:55 -0400
commite1673538607a7c8d784013b21b753f0c05c4cc34 (patch)
treef42e316e0c5bf67e3c9953aad6ba8fe9656829f2 /model/rnn_tgtcls.py
parent58dcf7b17e9db6af53808994a7d39a759fcc5028 (diff)
downloadtaxi-e1673538607a7c8d784013b21b753f0c05c4cc34.tar.gz
taxi-e1673538607a7c8d784013b21b753f0c05c4cc34.zip
Genericize RNNs
Diffstat (limited to 'model/rnn_tgtcls.py')
-rw-r--r--model/rnn_tgtcls.py19
1 files changed, 19 insertions, 0 deletions
diff --git a/model/rnn_tgtcls.py b/model/rnn_tgtcls.py
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+++ b/model/rnn_tgtcls.py
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+import numpy
+import theano
+from theano import tensor
+from blocks.bricks.base import lazy
+from blocks.bricks import Softmax
+
+from model.rnn import RNN, Stream
+
+
+class Model(RNN):
+ @lazy()
+ def __init__(self, config, **kwargs):
+ super(Model, self).__init__(config, output_dim=config.tgtcls.shape[0], **kwargs)
+ self.classes = theano.shared(numpy.array(config.tgtcls, dtype=theano.config.floatX), name='classes')
+ self.softmax = Softmax()
+ self.children.append(self.softmax)
+
+ def process_rto(self, rto):
+ return tensor.dot(self.softmax.apply(rto), self.classes)