We study the Kaczmarz methods for solving a system of quadratic equations,i.e.,the general-ized phase retrieval problem.The methods extend the Kaczmarz methods for solving systems of linear equations by integrating a phase selection heuristic in each iteration and overall have the same per iteration computational complexity.Extensive empirical performance comparisons establish the computational advantages of the Kaczmarz methods over other stateof-the-art phase retrieval algorithms both in terms of the number of measurements needed for successful recovery and in terms of computation time.