zseder
commented
9 years ago since default_input_scale was set to 2.0, projection layer caused this error, because indexing got messed up. For ProjectionLayer, we should use input_scale less than or equal to 1.0
Traceback (most recent call last): File "hunvec/seqtag/trainer.py", line 123, in
main()
File "hunvec/seqtag/trainer.py", line 119, in main
wt.train()
File "/home/pajkossy/git/hunvec/hunvec/seqtag/sequence_tagger.py", line 157, in train
self.algorithm.train(dataset=self.dataset['train'])
File "/home/pajkossy/pylearn2/pylearn2/training_algorithms/sgd.py", line 453, in train
self.sgd_update(*batch)
File "/home/pajkossy/theano/theano_env/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 588, in call
self.fn.thunks[self.fn.position_of_error])
File "/home/pajkossy/theano/theano_env/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 579, in call
outputs = self.fn()
IndexError: index 9360 is out of bounds for size 9354
Apply node that caused the error: AdvancedSubtensor1(feats_W, Elemwise{Cast{int64}}.0)
Inputs shapes: [(9354, 100), (168,)]
Inputs strides: [(400, 4), (8,)]
Inputs types: [TensorType(float32, matrix), TensorType(int64, vector)]
Use the Theano flag 'exception_verbosity=high' for a debugprint of this apply node.