So I’ve (locally) added an implementation of Noisy Natural Gradient in pm.variational.updates which I’ve termed adanoise(): def adanoise(loss_or_grads=None, params=None, datasize=None, learning_rate=0.002, beta1=0.9, beta2=0.999, epsilon=1e-8, kl_lambda=1., gammax=0.1, gammah=0.1): …

Ah you’re right. This was my fault. I was focused on the body of the algorithm, but the first line is if loss_or_grads is None and params is None: return partial(adam, **_get_call_kwargs(locals())) instead of if loss_or_grads is None and params is None: return partial(adanoise, **…

Custom update is automatically replaced by ADAM update?

Questions

junpenglao July 3, 2019, 6:00am 2

Paging @ferrine for some help

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Custom update is automatically replaced by ADAM update?

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