sciml.errors¶

Errors of the neural networks.

NetworkError ¶

Bases: Exception

The base of the errors of a network.

A caller catches every error of the import and the evaluation of a network with it.

Bases: NetworkError, ValueError

A network or its arrays cannot be read.

The message names the network and, where it applies, the layer and the array.

UnsupportedLayerError(network, node, target, reason)

Bases: NetworkError, NotImplementedError

A node of the forward pass has no implementation.

Attributes:

Name	Type	Description
`network`		id of the network.
`node`		name of the node of the forward pass.
`target`		the layer type, function or method of the node.
`reason`		why the node is not evaluated.

Initialize the error.

Parameters:

Name	Type	Description	Default
`network`	`str`	id of the network.	required
`node`	`str`	name of the node of the forward pass.	required
`target`	`str`	the layer type, function or method of the node.	required
`reason`	`str`	why the node is not evaluated.	required

Bases: NetworkError, ValueError

A hybridization does not fit its network, its model or its fit.

The message names the network and, where it applies, the input, the output or the target.

Bases: NetworkError, ValueError

A network cannot be compiled into a model.

The message names the network and, where it applies, the node or the target, and the reason.