ValueError: dimension mismatch with FB15k training

[Kaleidophon]

I now fed the data with the right input format into the model, unfortunately I got another exception this time:

Traceback (most recent call last):
  File "FB15k_TransE.py", line 5, in <module>
    nbatches=100, totepochs=500, test_all=10, neval=1000, savepath='FB15k_TransE', datapath='../data/')
  File "/Users/dennisulmer/Desktop/SME-master/FB15k_exp.py", line 421, in launch
    FB15kexp(state, channel)
  File "/Users/dennisulmer/Desktop/SME-master/FB15k_exp.py", line 269, in FB15kexp
    tmpl, tmpr, tmpo, tmpnl, tmpnr)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/theano/compile/function_module.py", line 871, in __call__
    storage_map=getattr(self.fn, 'storage_map', None))
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/theano/gof/link.py", line 314, in raise_with_op
    reraise(exc_type, exc_value, exc_trace)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/theano/compile/function_module.py", line 859, in __call__
    outputs = self.fn()
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/theano/gof/op.py", line 912, in rval
    r = p(n, [x[0] for x in i], o)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/theano/sparse/basic.py", line 4121, in perform
    rval = x * y
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/sparse/base.py", line 388, in __rmul__
    return (self.transpose() * tr).transpose()
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/sparse/base.py", line 355, in __mul__
    raise ValueError('dimension mismatch')
ValueError: dimension mismatch
Apply node that caused the error: SparseDot(Eemb, SparseVariable{csr,float64})
Toposort index: 9
Inputs types: [TensorType(float64, matrix), Sparse[float64, csr]]
Inputs shapes: [(50, 16296), (17844, 816)]
Inputs strides: [(130368, 8), 'No strides']
Inputs values: ['not shown', 'not shown']
Outputs clients: [[InplaceDimShuffle{1,0}(SparseDot.0)]]

Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer):
  File "FB15k_TransE.py", line 5, in <module>
    nbatches=100, totepochs=500, test_all=10, neval=1000, savepath='FB15k_TransE', datapath='../data/')
  File "/Users/dennisulmer/Desktop/SME-master/FB15k_exp.py", line 421, in launch
    FB15kexp(state, channel)
  File "/Users/dennisulmer/Desktop/SME-master/FB15k_exp.py", line 236, in FB15kexp
    marge=state.marge, rel=False)
  File "/Users/dennisulmer/Desktop/SME-master/model.py", line 1157, in TrainFn1Member
    lhsn = S.dot(embedding.E, inpln).T

HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.

What could be the source of this problem?

[Kaleidophon]

You hardcoded stats about your input data (like number of relations and entities) into your code.