set_theano_shared_Vs_kernel

描述

这个函数是 InterpolatorModel 类的一部分，用于将 numpy 数组转换为 Theano 共享变量（shared variable）后存储到内核中，以便用于模型的计算。

语法

def set_theano_shared_Vs_kernel(self,vsh=None,vsh_grad=None,transpose=False):
    """
    Set the input models to be shared. Since we use this function in each iteration
    (whenever we loop over kriging iterations or if there is a new set of data to be set for the kriging)
    the only time we update the theano values of V and V_grad here is at the beginning of a new layer. 
    Otherwise, we will be using the theano shared variables already set that are only updated 
    at the end of a layer

    vsh: numpy.ndarray:
        input with the models
    vsh_grad: numpy.ndarray:
        input with the gradient of the models
    transpose: bool:
        flag to store the transpose version of the shared variable in the kernel
    """

参数

• vsh: numpy.ndarray

输入包含模型的 numpy 数组。

• vsh_grad: numpy.ndarray

输入包含模型梯度的 numpy 数组。

• transpose: bool

标志，用于将转置版本的共享变量存储在内核内。

返回值

没有返回值。

示例

> model = gp.InterpolatorModel(grid=my_grid)
> model.range
array([[ 0.,  1.],
       [ 0.,  1.],
       [ 0.,  1.]])
> model.set_theano_shared_Vs_kernel(vsh=np.array([1,2,3]))

已知问题

无法处理非 numpy 数组的类型。