Tensorflow.js is an open-source library that is developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment.
The .listModels() function is used to record each and every models accumulated in the registered repository means. Moreover, in case of a web browser environment, the recorded mediums are Local Storage as well as IndexedDB.
Syntax :
tf.io.listModels()
Parameters:
It does not contain any parameter.
Return Value: It returns Promise of {[url: string]: ModelArtifactsInfo}.
Example 1: Using “logSigmoid” as activation, “Local Storage” as storage medium.
Javascript
// Importing the tensorflow.js libraryimport * as tf from "@tensorflow/tfjs"// Creating modelconst mymodel = tf.sequential();// Calling add() methodmymodel.add(tf.layers.dense( {units: 3, inputShape: [20], stimulation: 'logSigmoid'}));// Calling save() method with a storage medium// Calling listModels() method and// Printing outputconsole.log(await tf.io.listModels()); |
Output:
{
"localstorage://demo/manage/model1": {
"dateSaved": "2021-06-24T11:53:05.626Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 613,
"weightSpecsBytes": 126,
"weightDataBytes": 44
},
"localstorage://display/command/mymodel": {
"dateSaved": "2021-06-24T12:20:15.292Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 613,
"weightSpecsBytes": 126,
"weightDataBytes": 252
},
"localstorage://demo/management/model2": {
"dateSaved": "2021-06-24T11:53:33.384Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 613,
"weightSpecsBytes": 126,
"weightDataBytes": 44
},
"localstorage://demo/management/model": {
"dateSaved": "2021-06-24T11:53:26.006Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 613,
"weightSpecsBytes": 126,
"weightDataBytes": 44
},
"localstorage://demo/management/model1": {
"dateSaved": "2021-06-24T11:52:29.368Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 611,
"weightSpecsBytes": 124,
"weightDataBytes": 44
}
}
Example 2: Using “prelu” as activation, “IndexedDB” as storage medium and “JSON.stringify” in order to return the output in string format.
Javascript
// Importing the tensorflow.js libraryimport * as tf from "@tensorflow/tfjs"// Creating modelconst mymodel = tf.sequential();// Calling add() methodmymodel.add(tf.layers.dense( {units: 7, inputShape: [50], stimulation: 'prelu'}));// Calling save() method with a storage medium// Calling listModels() method and// Printing outputconsole.log(JSON.stringify(await tf.io.listModels())); |
Output:
{"localstorage://demo/manage/model1":{"dateSaved":"2021-06-24T11:53:05.626Z","modelTopologyType":"
JSON","modelTopologyBytes":613,"weightSpecsBytes":126,"weightDataBytes":44},
"localstorage://display/command/mymodel":{"dateSaved":"2021-06-24T12:20:15.292Z",
"modelTopologyType":"JSON","modelTopologyBytes":613,"weightSpecsBytes":126,"weightDataBytes":252},
"localstorage://demo/management/model2":{"dateSaved":"2021-06-24T11:53:33.384Z",
"modelTopologyType":"JSON","modelTopologyBytes":613,"weightSpecsBytes":126,"weightDataBytes":44},
"localstorage://demo/management/model":{"dateSaved":"2021-06-24T11:53:26.006Z",
"modelTopologyType":"JSON","modelTopologyBytes":613,"weightSpecsBytes":126,"weightDataBytes":44},
"localstorage://demo/management/model1":{"dateSaved":"2021-06-24T11:52:29.368Z",
"modelTopologyType":"JSON","modelTopologyBytes":611,"weightSpecsBytes":124,"weightDataBytes":44},
"indexeddb://demo/management/model1":{"dateSaved":"2021-06-24T12:28:27.419Z",
"modelTopologyType":"JSON","modelTopologyBytes":613,"weightSpecsBytes":126,"weightDataBytes":1428},
"indexeddb://display/command/mymodel":{"dateSaved":"2021-06-24T12:22:30.748Z",
"modelTopologyType":"JSON","modelTopologyBytes":613,"weightSpecsBytes":126,"weightDataBytes":252},
"indexeddb://example/command/mymodel":{"dateSaved":"2021-06-24T12:33:06.208Z",
"modelTopologyType":"JSON","modelTopologyBytes":613,"weightSpecsBytes":126,"weightDataBytes":1428}}
Reference: https://js.tensorflow.org/api/latest/#io.listModels
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