##### Executing Scipy Tensor Product
 Executing Scipy Tensor Product John_Doe Unladen Swallow Posts: 1 Threads: 1 Joined: Dec 2019 Reputation: Dec-05-2019, 12:45 PM Can anyone advise on how to use the Scipy TensorProduct function in Python 2.7 without having to explicitly indicate the full sequence of objects to take the product of. Below you can see one of my attempts. But the tensor products are still not coinciding, hence I am still having to write out the full sequence to get the correct answer. import scipy from numpy import* import math from sympy import I, Matrix, symbols from sympy.physics.quantum import TensorProduct N = 3 x = array([1/(math.sqrt(2)),1/(math.sqrt(2))]) V =[] for i in range(1,N+1): V.append(x) V = array(V) TP1 = TensorProduct(V[0],V[1],V[2]) TP2 = TensorProduct(V[:]) print TP1 print TP2Thanks for any assistance. Reply paul18fr Lumberjack Posts: 132 Threads: 35 Joined: Apr 2019 Reputation: Dec-06-2019, 10:28 AM (This post was last modified: Dec-06-2019, 11:22 AM by paul18fr.) for me what you want to do is not clear You've a (2,3) matrix size so what product do you want to perform? Maybe such kind (without Tensorflow here)? import numpy as np N = 3 V = (1./np.sqrt(2))*np.ones((2,N)) TP1 = V[:,0]*V[:,1]*V[:,2] TP2 = np.prod(V) # print("TP1 = {}".format(TP1)) print("TP2 = {}".format(TP2)) Reply

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