c3a2b85b98dc441f97703c426d5bd75568b0ce10,keras_rcnn/layers/losses/_rcnn.py,RCNNClassificationLoss,call,#RCNNClassificationLoss#Any#,14

Before Change

        def calculate_loss():
            return self.compute_classification_loss(output, target)
        
        loss = tensorflow.cond(keras.backend.not_equal(keras.backend.shape(output)[1], keras.backend.shape(target)[1]), no_loss, calculate_loss)

        self.add_loss(loss, inputs)

After Change

        x = keras.backend.shape(output)[1]
        y = keras.backend.shape(target)[1]

        predicate = keras.backend.not_equal(x, y)

        loss = tensorflow.cond(predicate, no_loss, calculate_loss)

        self.add_loss(loss, inputs)

        return output

Instances