I have ndarray like :
diag = []
diag.append(np.diag([1,1,0]))
diag.append(np.diag([0,1,1]))
diag
[array([[1, 0, 0],
[0, 1, 0],
[0, 0, 0]]), array([[0, 0, 0],
[0, 1, 0],
[0, 0, 1]])]
How can I convert it into Theano tensor variable of type float 64, matrix ? As I need to perform dot operation like
Theano.dot(diag, X) where X is shared variable of type float 64, matrix.
Just create a SharedVariable
like this
diag_ = theano.shared(np.array(diag).astype("float64"))
theano.dot(diag_, X)
http://deeplearning.net/software/theano/library/compile/shared.html