I am trying to figure out the tensordot equivalent of the following expression, as sparse package does not support einsum (the sparseness of the original problem is much better than the example below).
The place I am stuck with is the contraction ii->i, I don't know how to interpret this.
mki_shape=(25,25,121)
mki=np.random.uniform(size=mki_shape)
tik_shape=(10,121,25)
tik=np.random.uniform(size=tik_shape)
tim=np.einsum('mki,tik->tim',mki,tik)
print(tim.shape)