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Cupy说它已经实现了scipy的cg，但是安装时找不到cg（共轭梯度法）

[英]Cupy says it has scipy's cg implemented, but cannot find cg(conjugate gradient method) when installed

原文 2021-03-05 04:25:59 1 1 python/ numpy/ scipy/ cupy

I am unable to find this https://docs.cupy.dev/en/latest/reference/generated/cupyx.scipy.sparse.linalg.cg.html#cupyx.scipy.sparse.linalg.cg after the installation of cupy. I am unable to find this https://docs.cupy.dev/en/latest/reference/generated/cupyx.scipy.sparse.linalg.cg.html#cupyx.scipy.sparse.linalg.cg after the installation of cupy .

It says module not found它说找不到模块

Can anyone help me?谁能帮我？ I don't know what's wrong, but I have installed cupy via pip, and this library was supposed to be there, but its not present.我不知道出了什么问题，但我已经通过 pip 安装了 cupy，并且这个库应该在那里，但它不存在。

1 个解决方案

The module is available in CuPy v9 betas.该模块在 CuPy v9 测试版中可用。 (The v: latest docs are generated by the master branch.) Try pip install with --pre to include pre-releases. （ v: latest docs 由master分支生成。）尝试pip install --pre以包含预发布。

fmin_cg在scipy中的梯度函数 - gradient function of fmin_cg in scipy

SciPy共轭梯度优化在每次迭代后不调用回调方法 - SciPy Conjugate Gradient Optimisation not invoking callback method after each iteration

Scipy Optimize：ValueError：在Newton-CG方法上设置具有序列的数组元素 - Scipy Optimize: ValueError: setting an array element with a sequence on Newton-CG method

如何将成本，grad作为scipy的fmin_cg函数的元组返回 - How to return cost, grad as tuple for scipy's fmin_cg function

scipy.optimize.minimize即使二阶导数为负，牛顿-CG也会停止 - scipy.optimize.minimize Newton-CG stops even when second derivative is negative

Matlab相当于Python scipy.optimize.fmin_cg - Matlab equivalent of Python scipy.optimize.fmin_cg

神经网络优化失败（使用 Scipy fmin_cg） - Neural net optimization failing (using Scipy fmin_cg)

使用SCIPY.OPTIMIZE.FMIN_CG提取Weibull分布参数 - Using SCIPY.OPTIMIZE.FMIN_CG to extract Weibull distribution parameters

当jac = False时，对Jacobian的近似值进行近似时，“Jacobian是Newton-CG方法所必需的”吗？ - “Jacobian is required for Newton-CG method” when doing a approximation to a Jacobian not being used when jac=False?

如何在Python中调用scipy.optimize.fmin_cg（func）的函数 - How to call function for scipy.optimize.fmin_cg(func) in Python

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相关问题 fmin_cg在scipy中的梯度函数 - gradient function of fmin_cg in scipy SciPy共轭梯度优化在每次迭代后不调用回调方法 - SciPy Conjugate Gradient Optimisation not invoking callback method after each iteration Scipy Optimize：ValueError：在Newton-CG方法上设置具有序列的数组元素 - Scipy Optimize: ValueError: setting an array element with a sequence on Newton-CG method 如何将成本，grad作为scipy的fmin_cg函数的元组返回 - How to return cost, grad as tuple for scipy's fmin_cg function scipy.optimize.minimize即使二阶导数为负，牛顿-CG也会停止 - scipy.optimize.minimize Newton-CG stops even when second derivative is negative Matlab相当于Python scipy.optimize.fmin_cg - Matlab equivalent of Python scipy.optimize.fmin_cg 神经网络优化失败（使用 Scipy fmin_cg） - Neural net optimization failing (using Scipy fmin_cg) 使用SCIPY.OPTIMIZE.FMIN_CG提取Weibull分布参数 - Using SCIPY.OPTIMIZE.FMIN_CG to extract Weibull distribution parameters 当jac = False时，对Jacobian的近似值进行近似时，“Jacobian是Newton-CG方法所必需的”吗？ - “Jacobian is required for Newton-CG method” when doing a approximation to a Jacobian not being used when jac=False? 如何在Python中调用scipy.optimize.fmin_cg（func）的函数 - How to call function for scipy.optimize.fmin_cg(func) in Python

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