def runSparseTraining(self, sess):
'''
Function to run the Sparse Retraining routine on Bonsai Obj
'''
currW = self.bonsaiObj.W.eval()
currV = self.bonsaiObj.V.eval()
currT = self.bonsaiObj.T.eval()
newW = utils.copySupport(self.__thrsdW, currW)
newV = utils.copySupport(self.__thrsdV, currV)
newT = utils.copySupport(self.__thrsdT, currT)
fd_st = {self.__Wth: newW, self.__Vth: newV,
self.__Tth: newT}
sess.run(self.sparseRetrainGroup, feed_dict=fd_st)
def runSparseTraining(self, sess):
'''
Function to run the Sparse Retraining routine on FastObj
'''
self.reTrainParams = []
for i in range(0, self.totalMatrices):
self.reTrainParams.append(
utils.copySupport(self.thrsdParams[i], self.FastParams[i].eval()))
fd_st = {}
for i in range(0, self.totalMatrices):
fd_st[self.paramPlaceholders[i]] = self.reTrainParams[i]
sess.run(self.sparseRetrainGroup, feed_dict=fd_st)