I use this code in parallel. Is it correct?
test_model_predict = theano.function(inputs=[self.start_idx, self.end_idx],
outputs=self.classifier.predict(self.y),
givens={
self.x: test_set_x[self.start_idx:self.end_idx],
self.y: test_set_y[self.start_idx:self.end_idx]})
test_predictions = test_model_predict(0, len(test_set[1]))
How can I call predictions of model without use theano.function - because
it is not thread safe function as I know and it is very long.
Please help.
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