Interface ModelArtifacts

The serialized artifacts of a model, including topology and weights.

The modelTopology, trainingConfig, weightSpecs and weightData fields of this interface are optional, in order to support topology- or weights-only saving and loading.

Note this interface is used internally in IOHandlers. For the file format written to disk as model.json, see ModelJSON.

interface ModelArtifacts {
    convertedBy?: null | string;
    format?: string;
    generatedBy?: string;
    getWeightStream?: () => ReadableStream<ArrayBuffer>;
    initializerSignature?: {};
    modelInitializer?: {};
    modelTopology?: {} | ArrayBuffer;
    signature?: {};
    trainingConfig?: TrainingConfig;
    userDefinedMetadata?: { [key: string]: {} };
    weightData?: WeightData;
    weightSpecs?: WeightsManifestEntry[];
}

Properties

convertedBy? format? generatedBy? getWeightStream? initializerSignature? modelInitializer? modelTopology? signature? trainingConfig? userDefinedMetadata? weightData? weightSpecs?

Properties

OptionalconvertedBy

convertedBy?: null | string

What library or tool is responsible for converting the original model to this format, applicable only if the model is output by a converter.

Used for debugging purposes. E.g., 'TensorFlow.js Converter v1.0.0'.

A value of null means the model artifacts are generated without any conversion process (e.g., saved directly from a TensorFlow.js tf.LayersModel instance.)

Optionalformat

format?: string

Hard-coded format name for models saved from TensorFlow.js or converted by TensorFlow.js Converter.

OptionalgeneratedBy

generatedBy?: string

What library is responsible for originally generating this artifact.

Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.

OptionalgetWeightStream

getWeightStream?: () => ReadableStream<ArrayBuffer>

Returns a stream of the weights. Some models are too large to fit in V8's memory heap, and getWeightStream loads their weights without storing them all in memory at the same time.

OptionalinitializerSignature

initializerSignature?: {}

Inputs and outputs signature for model initializer.

OptionalmodelInitializer

modelInitializer?: {}

Initializer for the model.

OptionalmodelTopology

modelTopology?: {} | ArrayBuffer

Model topology.

For Keras-style tf.Models, this is a JSON object. For TensorFlow-style models (e.g., SavedModel), this is the JSON encoding of the GraphDef protocol buffer.

Optionalsignature

signature?: {}

Inputs and outputs signature for saved model.

OptionaltrainingConfig

trainingConfig?: TrainingConfig

Serialized configuration for the model's training.

OptionaluserDefinedMetadata

userDefinedMetadata?: { [key: string]: {} }

User-defined metadata about the model.

OptionalweightData

weightData?: WeightData

Binary buffer(s) for all weight values in the order specified by weightSpecs. This may be a single ArrayBuffer of all the weights concatenated together or an Array of ArrayBuffers containing the weights (weights may be sharded across multiple ArrayBuffers).

OptionalweightSpecs

weightSpecs?: WeightsManifestEntry[]

Weight specifications.

This corresponds to the weightsData below.

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