d709034be42c47a190f3e98e87286b142f67376e,clairvoyante/clairvoyante_v2.py,Clairvoyante,_buildGraph,#Clairvoyante#,29

Before Change

            self.YIndelLengthSoftmax = YIndelLengthSoftmax

            loss1 = tf.reduce_sum(tf.pow(YBaseChangeSigmoid - tf.slice(YPH,[0,0],[-1,self.outputShape1[0]]), 2))
            loss2 = -tf.reduce_sum(tf.log(YZygositySoftmax) * tf.slice(YPH, [0,self.outputShape1[0]], [-1,self.outputShape2[0]]))
            loss3 = -tf.reduce_sum(tf.log(YVarTypeSoftmax) * tf.slice(YPH, [0,self.outputShape1[0]+self.outputShape2[0]], [-1,self.outputShape3[0]]))
            loss4 = -tf.reduce_sum(tf.log(YIndelLengthSoftmax) * tf.slice(YPH, [0,self.outputShape1[0]+self.outputShape2[0]+self.outputShape3[0]], [-1,self.outputShape4[0]]))
            loss = loss1 + loss2 + loss3 + loss4

After Change

            YZygosityCrossEntropy = tf.nn.log_softmax(YZygosityLogits)\
                                    * -tf.slice(YPH, [0,self.outputShape1[0]], [-1,self.outputShape2[0]])
            loss2 = tf.reduce_sum(YZygosityCrossEntropy)
            YVarTypeCrossEntropy = tf.nn.log_softmax(YVarTypeLogits)\
                                   * -tf.slice(YPH, [0,self.outputShape1[0]+self.outputShape2[0]], [-1,self.outputShape3[0]])
            loss3 = tf.reduce_sum(YVarTypeCrossEntropy)
            YIndelLengthCrossEntropy = tf.nn.log_softmax(YIndelLengthLogits)\

Instances