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Optimization 如何优化Pytorch中较低的Cholesky参数？_Optimization_Pytorch - Fatal编程技术网
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Optimization 如何优化Pytorch中较低的Cholesky参数？

optimization pytorch

Optimization 如何优化Pytorch中较低的Cholesky参数？,optimization,pytorch,Optimization,Pytorch,有没有办法创建一个带正对角线的下三角形参数，并在Pytorch中进行优化时强制执行此约束？检查此参数 一个简单的例子： a = torch.randn(3, 3) a = torch.mm(a, a.t()) # make symmetric positive definite l = torch.potrf(a, upper=False) tri_loss = l.sum() opt.zero_grad() tri_loss.backward() opt.step()

有没有办法创建一个带正对角线的下三角形参数，并在Pytorch中进行优化时强制执行此约束？

检查此参数

一个简单的例子：

a = torch.randn(3, 3)
a = torch.mm(a, a.t()) # make symmetric positive definite
l = torch.potrf(a, upper=False)

tri_loss = l.sum()
opt.zero_grad()
tri_loss.backward()
opt.step()