问题
I have just recently learned about np.einsum
and quickly became addicted to it. But it seems that theano
doesn't have an equivalent function so I need to convert my numpy
code to theano somehow. How can I write the following computation in theano?
IX=np.einsum('ijk,lj->ilk',p1,KX)
回答1:
You only need to rearrange your axes to get this to work:
>>> import numpy as np
>>> a = np.random.rand(3, 4, 5)
>>> b = np.random.rand(5, 6)
>>> np.allclose(np.einsum('ikj,jl->ikl', a, b), np.dot(a, b))
So with that in mind:
>>> a = np.random.rand(3, 5, 4)
>>> b = np.random.rand(6, 5)
>>> out_ein = np.einsum('ijk,lj->ilk', a, b)
>>> out_dot = np.transpose(np.dot(np.transpose(a, (0, 2, 1)),
... np.transpose(b, (1, 0))),
... (0, 2, 1))
>>> np.allclose(out_ein, out_dot)
来源:https://stackoverflow.com/questions/30305891/convert-einsum-computation-to-dot-product-to-be-used-in-theano