thanks for your quick reply.
in that case do you know how can i solve the problem?. is there any other
way to compute the dot product of two matrices in theano?
On Wednesday, November 30, 2016 at 6:33:25 PM UTC-6, Pascal Lamblin wrote:
>
> Since identity is a numpy array, you should not pass it as an input to
> function().
>
> On Wed, Nov 30, 2016, Mohammed Rashid Chowdhury wrote:
> > i was trying to simply compute the dot product of two matrices using
> theano.
> > my code is very simple.
> >
> >
> > import theano
> > import theano.tensor as T
> > import numpy as np
> > from theano import function
> >
> > def covarience(array):
> >
> > input_array=T.matrix('input_array')
> > deviation_matrix = T.matrix('deviation_matrix')
> > matrix_filled_with_1s=T.matrix('matrix_filled_with_1s')
> > z = T.dot(input_array, matrix_filled_with_1s)
> >
> >
> > identity=np.ones((len(array),len(array)))
> >
> > f=function([array,identity],z)
> > # print(f)
> >
> >
> > covarience(np.array([[2,4],[6,8]]))
> >
> >
> >
> >
> > but the problem is each time i run this code , i get error message like
> > "TypeError: Unknown parameter type: <class 'numpy.ndarray'>"
> >
> > i am kind of lost here. can anyone tell me whats wrong with my code ?.
> Any
> > kind of help from any one of you would be highly appreciated.
> >
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> >
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>
> --
> Pascal
>
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