Python Autodiff.get_grad_op_tree 예제들

예제 #1

파일: optimizers.py 프로젝트: seba-1511/conjugate-gradient-newton

def newton_method(x_init, f, be, epsilon=1e-9):
    x_new = be.zeros_like(x_init)
    f_init = f(x_init)
    f_new = f(x_new)
    grad_f = Autodiff(f_init, be=be, next_error=None)
    grad_f = grad_f.get_grad_op_tree([x_init])[0]
    hessian_f = Autodiff(grad_f, be=be, next_error=None)
    hessian_f = hessian_f.get_grad_op_tree([x_init])[0]
    while True:
        x_new[:] = x_init - grad_f / hessian_f
        # if conv_vec_test(x_init, x_new, be) < epsilon:
        if conv_test(f_init, f_new, be) < epsilon:
            f_val = be.empty((1, 1))
            f_val[:] = f_new
            return x_new, f_val
        x_init[:] = x_new

예제 #2

def newton_method(x_init, f, be, epsilon=1e-9):
    x_new = be.zeros_like(x_init)
    f_init = f(x_init)
    f_new = f(x_new)
    grad_f = Autodiff(f_init, be=be, next_error=None)
    grad_f = grad_f.get_grad_op_tree([x_init])[0]
    hessian_f = Autodiff(grad_f, be=be, next_error=None)
    hessian_f = hessian_f.get_grad_op_tree([x_init])[0]
    while True:
        x_new[:] = x_init - grad_f / hessian_f
        # if conv_vec_test(x_init, x_new, be) < epsilon:
        if conv_test(f_init, f_new, be) < epsilon:
            f_val = be.empty((1, 1))
            f_val[:] = f_new
            return x_new, f_val
        x_init[:] = x_new

예제 #3

파일: optimizers.py 프로젝트: seba-1511/conjugate-gradient-newton

def fletcher_reeves(x_init, f, be, epsilon=1e-9):
    x_new = be.zeros_like(x_init)
    f_init = f(x_init)
    f_new = f(x_new)
    grad_f = Autodiff(f_init, be, next_error=None)
    grad_f = grad_f.get_grad_op_tree([x_init])[0]
    while True:
        alpha, _ = None # implement the line search

예제 #4

def fletcher_reeves(x_init, f, be, epsilon=1e-9):
    x_new = be.zeros_like(x_init)
    f_init = f(x_init)
    f_new = f(x_new)
    grad_f = Autodiff(f_init, be, next_error=None)
    grad_f = grad_f.get_grad_op_tree([x_init])[0]
    while True:
        alpha, _ = None  # implement the line search