I have a parametersTheta class which creates neural network as follows:
class parametersTheta:
def __init__(self, weight1, weight2,....):
self.weightName1 = weight1
self.weightName2 = weight2
...
self.sess = tf.Session()
def makeWorkerTheta(self, param):
return parametersTheta(self.sess.run(functionCalculatingTensorWeights, feed_dict={...}))
self.sess.run creates a tuple of all the weight tensors. However, error pops up saying you need to input weight2 and onwards, i.e. the tuple goes into weight1
How can I solve this? Basically, how can I create an instance of class parametersTheta with a tuple?
You can instantiate class with tuple expanded to arguments like this.
An asterisk before a tuple expand it to a corresponding arguments list.