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python - 优化求解时返回函数调用和其他信息

转载 作者:行者123 更新时间:2023-12-03 19:10:59 25 4
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我正在使用 Gekko 对多个系统的多个问题进行基准测试,我想让我的代码返回函数调用、迭代和解决所需的时间。我知道求解器会自动打印所有这些数据,但是是否有可以返回的对象或属性以允许我的函数返回数值?

这是如何设置代码的示例。

def model(plot=False):
t = np.linspace(0, 1, 101)
m = GEKKO(remote=False); m.time=t

fe = m.Param(np.cos(2*np.pi*t)+3)
de = m.Var(fe[0])

e = m.CV(0); e.STATUS=1; e.SPHI=e.SPLO=0; e.WSPHI=1000; e.WSPLO=1
der = m.MV(0, lb=-1, ub=1); der.STATUS=1

m.Equations([de.dt() == der, e == fe-de])

m.options.IMODE=6; m.solve()

if plot:
import matplotlib.pyplot as plt
plt.plot(t, fe)
plt.plot(t, de)
plt.plot(t, der)
plt.show()
return m.fcalls


if __name__ == "__main__":
model(plot=True)

最佳答案

objective function , iterations , solve time , 和 solution status可在 Gekko 中使用:

  • m.options.OBJFCNVAL
  • m.options.ITERATIONS
  • m.options.SOLVETIME
  • m.options.APPSTATUS

  • 你可以将这些作为列表返回,就像我对 summary 所做的那样.

    from gekko import GEKKO
    import numpy as np

    def model(plot=False):
    t = np.linspace(0, 1, 101)
    m = GEKKO(remote=False); m.time=t

    fe = m.Param(np.cos(2*np.pi*t)+3)
    de = m.Var(fe[0])

    e = m.CV(0); e.STATUS=1; e.SPHI=e.SPLO=0; e.WSPHI=1000; e.WSPLO=1
    der = m.MV(0, lb=-1, ub=1); der.STATUS=1

    m.Equations([de.dt() == der, e == fe-de])

    m.options.DIAGLEVEL=1
    m.options.SOLVER=1
    m.options.IMODE=6; m.solve()

    if plot:
    import matplotlib.pyplot as plt
    plt.plot(t, fe)
    plt.plot(t, de)
    plt.plot(t, der)
    plt.savefig('result.png')
    return [m.options.OBJFCNVAL,\
    m.options.ITERATIONS,\
    m.options.SOLVETIME,\
    m.options.APPSTATUS]


    if __name__ == "__main__":
    summary = model(plot=True)
    print(summary)

    如果你想要函数调用,它会稍微复杂一些,因为有不同类型的函数调用。有目标函数和约束的函数调用、一阶导数的函数调用和二阶导数的函数调用。您可以通过设置 m.options.DIAGLEVEL=1 获得所有子程序调用的完整报告以及每个子程序的个人和累计时间。或更高。这是此问题的求解器输出:
     Number of state variables:    1900
    Number of total equations: - 1800
    Number of slack variables: - 0
    ---------------------------------------
    Degrees of freedom : 100

    ----------------------------------------------
    Dynamic Control with APOPT Solver
    ----------------------------------------------

    Iter Objective Convergence
    0 9.81590E+01 1.00000E+00
    1 7.62224E+01 4.00000E-10
    2 7.62078E+01 1.10674E-02
    3 7.62078E+01 1.00000E-10
    4 7.62078E+01 8.32667E-17
    5 7.62078E+01 8.32667E-17
    Successful solution

    ---------------------------------------------------
    Solver : APOPT (v1.0)
    Solution time : 0.5382 sec
    Objective : 76.20778997271815
    Successful solution
    ---------------------------------------------------

    一些求解器,如 IPOPT,没有从 API 中随时可用的迭代,因此它们总是报告为零。使用APOPT,汇总列表为 [76.207789973, 5, 0.5253, 1] .时序和函数调用报告在求解器摘要之后。
    Timer #     1       0.70/       1 =       0.70 Total system time
    Timer # 2 0.54/ 1 = 0.54 Total solve time
    Timer # 3 0.05/ 9 = 0.01 Objective Calc: apm_p
    Timer # 4 0.00/ 5 = 0.00 Objective Grad: apm_g
    Timer # 5 0.02/ 9 = 0.00 Constraint Calc: apm_c
    Timer # 6 0.00/ 0 = 0.00 Sparsity: apm_s
    Timer # 7 0.00/ 0 = 0.00 1st Deriv #1: apm_a1
    Timer # 8 0.00/ 5 = 0.00 1st Deriv #2: apm_a2
    Timer # 9 0.02/ 200 = 0.00 Custom Init: apm_custom_init
    Timer # 10 0.00/ 200 = 0.00 Mode: apm_node_res::case 0
    Timer # 11 0.00/ 600 = 0.00 Mode: apm_node_res::case 1
    Timer # 12 0.00/ 200 = 0.00 Mode: apm_node_res::case 2
    Timer # 13 0.00/ 400 = 0.00 Mode: apm_node_res::case 3
    Timer # 14 0.00/ 4800 = 0.00 Mode: apm_node_res::case 4
    Timer # 15 0.00/ 2000 = 0.00 Mode: apm_node_res::case 5
    Timer # 16 0.00/ 0 = 0.00 Mode: apm_node_res::case 6
    Timer # 17 0.00/ 5 = 0.00 Base 1st Deriv: apm_jacobian
    Timer # 18 0.02/ 5 = 0.00 Base 1st Deriv: apm_condensed_jacobian
    Timer # 19 0.00/ 1 = 0.00 Non-zeros: apm_nnz
    Timer # 20 0.00/ 0 = 0.00 Count: Division by zero
    Timer # 21 0.00/ 0 = 0.00 Count: Argument of LOG10 negative
    Timer # 22 0.00/ 0 = 0.00 Count: Argument of LOG negative
    Timer # 23 0.00/ 0 = 0.00 Count: Argument of SQRT negative
    Timer # 24 0.00/ 0 = 0.00 Count: Argument of ASIN illegal
    Timer # 25 0.00/ 0 = 0.00 Count: Argument of ACOS illegal
    Timer # 26 0.00/ 1 = 0.00 Extract sparsity: apm_sparsity
    Timer # 27 0.00/ 17 = 0.00 Variable ordering: apm_var_order
    Timer # 28 0.00/ 1 = 0.00 Condensed sparsity
    Timer # 29 0.00/ 0 = 0.00 Hessian Non-zeros
    Timer # 30 0.00/ 3 = 0.00 Differentials
    Timer # 31 0.00/ 0 = 0.00 Hessian Calculation
    Timer # 32 0.00/ 0 = 0.00 Extract Hessian
    Timer # 33 0.00/ 1 = 0.00 Base 1st Deriv: apm_jac_order
    Timer # 34 0.06/ 1 = 0.06 Solver Setup
    Timer # 35 0.40/ 1 = 0.40 Solver Solution
    Timer # 36 0.00/ 23 = 0.00 Number of Variables
    Timer # 37 0.00/ 12 = 0.00 Number of Equations
    Timer # 38 0.05/ 17 = 0.00 File Read/Write
    Timer # 39 0.00/ 1 = 0.00 Dynamic Init A
    Timer # 40 0.02/ 1 = 0.02 Dynamic Init B
    Timer # 41 0.02/ 1 = 0.02 Dynamic Init C
    Timer # 42 0.00/ 1 = 0.00 Init: Read APM File
    Timer # 43 0.00/ 1 = 0.00 Init: Parse Constants
    Timer # 44 0.00/ 1 = 0.00 Init: Model Sizing
    Timer # 45 0.00/ 1 = 0.00 Init: Allocate Memory
    Timer # 46 0.00/ 1 = 0.00 Init: Parse Model
    Timer # 47 0.00/ 1 = 0.00 Init: Check for Duplicates
    Timer # 48 0.00/ 1 = 0.00 Init: Compile Equations
    Timer # 49 0.00/ 1 = 0.00 Init: Check Uninitialized
    Timer # 50 0.00/ 205 = 0.00 Evaluate Expression Once
    Timer # 51 0.00/ 0 = 0.00 Sensitivity Analysis: LU Factorization
    Timer # 52 0.00/ 0 = 0.00 Sensitivity Analysis: Gauss Elimination
    Timer # 53 0.00/ 0 = 0.00 Sensitivity Analysis: Total Time

    计时器 3、4 和 5 可能与您的问题最相关。它们是目标函数请求、一阶导数请求和约束评估请求。

    关于python - 优化求解时返回函数调用和其他信息,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/62160528/

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