9f32d03597f581a93e8a0e5c7a38253858d25997,deepplantphenomics/deepplantpheno.py,DPPModel,forwardPassWithFileInputs,#DPPModel#Any#,508

Before Change

        xx = self.__session.run(x_pred)
        total_outputs.append(xx)

        return total_outputs

    def __batchMeanL2Loss(self, x):
        agg = tf.map_fn(lambda ex: tf.nn.l2_loss(ex), x)
        mean = tf.reduce_mean(agg)

After Change

        for i in range(num_batches):
            xx = self.__session.run(x_pred)
            total_outputs = np.append(total_outputs, xx, axis=0)

        // delete the complete matrix with the weird first row deleted
        return np.delete(total_outputs, 0, 0)

    def __batchMeanL2Loss(self, x):
        agg = tf.map_fn(lambda ex: tf.nn.l2_loss(ex), x)
        mean = tf.reduce_mean(agg)

Instances