Module laplace.curvature.backpack

Classes

class BackPackInterface (model, likelihood, last_layer=False, subnetwork_indices=None)

Interface for Backpack backend.

Ancestors

Subclasses

Methods

def jacobians(self, x, enable_backprop=False)

Compute Jacobians \nabla_{\theta} f(x;\theta) at current parameter \theta using backpack's BatchGrad per output dimension. Note that BackPACK doesn't play well with torch.func, so this method has to be overridden.

Parameters

x : torch.Tensor
input data (batch, input_shape) on compatible device with model.
enable_backprop : bool, default = False
whether to enable backprop through the Js and f w.r.t. x

Returns

Js : torch.Tensor
Jacobians (batch, parameters, outputs)
f : torch.Tensor
output function (batch, outputs)
def gradients(self, x, y)

Compute gradients \nabla_\theta \ell(f(x;\theta, y) at current parameter \theta using Backpack's BatchGrad. Note that BackPACK doesn't play well with torch.func, so this method has to be overridden.

Parameters

x : torch.Tensor
input data (batch, input_shape) on compatible device with model.
y : torch.Tensor
 

Returns

Gs : torch.Tensor
gradients (batch, parameters)
loss : torch.Tensor
 

Inherited members

class BackPackGGN (model, likelihood, last_layer=False, subnetwork_indices=None, stochastic=False)

Implementation of the GGNInterface using Backpack.

Ancestors

Inherited members

class BackPackEF (model, likelihood, last_layer=False, subnetwork_indices=None)

Implementation of EFInterface using Backpack.

Ancestors

Inherited members