CVXPYLayers的基本用法包括定义凸优化问题、构建凸优化层和使用凸优化层进行训练。以下是一个简单的例子,演示了如何使用CVXPYLayers构建一个线性规划层并将其嵌入神经网络: ```python import torch import cvxpylayers class LinearProgrammingLayer(torch.nn.Module): def __init__(self, n, m): super(LinearProgram...
cvxpylayers has the following dependencies: Python 3 NumPy CVXPY>= 1.1.a4 PyTorch>= 1.0,JAX>= 0.2.12, orTensorFlow>= 2.0 diffcp>= 1.0.13 Usage Below are usage examples of our PyTorch, JAX, and TensorFlow layers. Note that the parametrized convex optimization problems must be constructed in...
一部分是解决问题的解决方案. 首先是问题的分析,确定是否是初始问题,比如工具功能分析/特性传递等工具. ...
Add TOC, projects using cvxpylayers to README (#47) akshaykacommitted Verified a10ef2e Commits on Feb 13, 2020 Merge pull request #46 from cvxgrp/add_shared_params_and_equality_tests sbarrattcommitted Verified ac1056d Commits on Feb 6, 2020 flake8 sbarrattcommitted 47b5c41 Commits on ...
cvxpylayers cvxpylayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and TensorFlow using CVXPY. A convex optimization layer solves a parametrized convex optimization problem in the forward pass to produce a solution. It computes the derivative of the ...