[FR] allow orthogonal parameters in pyro.param

描述

贡献者指南

技术栈

pythonpytorch

领域

machine learningbackend

议题类型

feature

难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。

3

预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。

half day

活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。

stale

清晰度议题是否清楚说明期望改动、验收标准和下一步。

clear

前置要求

familiarity with Pyro's param systembasic knowledge of PyTorch parametrizations

新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。

40

研究方向

Start by reviewing the implementation of `pyro.param` to understand how parameters are currently declared and constrained. Then explore `torch.nn.utils.parametrizations.orthogonal` to see how orthogonal parametrization is applied in PyTorch. Look for any existing discussion in the single comment on the issue for additional context on desired behavior. Consider implementing an optional `parametrization` argument in `pyro.param` that accepts orthogonal or other parametrizations from PyTorch.