package caisar

You can search for identifiers within the package.

in-package search v0.2.0

A platform for characterizing the safety and robustness of artificial intelligence based software

Install

Dune Dependency

git.frama-c.com Readme Changelog Edit opam file Versions (7)

Authors

A

AISER team, Software Safety and Security Laboratory, CEA-List

Maintainers

A

AISER team, Software Safety and Security Laboratory, CEA-List

Sources

caisar-4.0.tbz

sha256=58ba1e38721795b306c860b56aaeba971be586cd55fb96e3ec8af72dd005101b

sha512=f1b3b9899660745598cebe7ecb52a39e9e16dcb7352381ea75a80d2afa988437130c00bf66355991421d4cb3dc06b02c185f7d4bdcc1c86dfcde8084bd01a654

doc/caisar.nir/Nir/Ngraph/index.html

Module `Nir.Ngraph`Source

Neural Intermediate Representation (NIR)

NIR is a graph describing a machine learning model control flow.

A graph is described starting from its output node.

Sourcetype t

Sourceval pp : t Fmt.t

Sourceval pp_debug : t Fmt.t

Sourceval create : Node.t -> t

Create a network from its output node.t

Sourceval output : t -> Node.t

Output node.t of the network

Sourceval nodes : t -> Node.t list

Output nodes of the network

Sourceval input_shape : t -> Shape.t

Input shape of the network

Sourceval succs : t -> Node.t -> Node.t list

successors of a node.t

Sourceval iter_vertex : (Node.t -> unit) -> t -> unit

Sourceval iter_succ : (Node.t -> unit) -> t -> Node.t -> unit

Sourceval grapheasy : t -> string

Sourcemodule GFloat : sig ... end

Respect some OcamlGraph signature

Sourcemodule Dot : sig ... end

On This Page

Neural Intermediate Representation (NIR)