parameters: (self, sess)
docstring: Function to run the Sparse Retraining routine on FastObj
docstring_summary: Function to run the Sparse Retraining routine on FastObj
docstring_tokens: Function to run the Sparse Retraining routine on FastObj
function: 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)
function_tokens: def runSparseTraining ( self , sess ) : 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 )