Tensorflow.js es una biblioteca de código abierto desarrollada por Google para ejecutar modelos de aprendizaje automático, así como redes neuronales de aprendizaje profundo en el entorno del navegador o del Node.
La función copyModel() se usa para copiar un modelo de una URL a una nueva. Además, este método admite la copia dentro de un medio de almacenamiento, es decir, dentro del mismo tipo de medio grabado, o entre dos medios de almacenamiento diferentes, es decir, entre diferentes tipos de medios grabados.
Sintaxis:
tf.io.copyModel(sourceURL, destURL)
Parámetros: Esta función tiene dos parámetros, como se indicó anteriormente y se describe a continuación:
- sourceURL: Es una string que indica la URL de origen desde donde se copiará el modelo.
- destURL: Es una string que indica la URL de destino donde se copiará el modelo.
Valor devuelto: Devuelve una Promesa de ModelArtifactsInfo .
Los siguientes ejemplos demuestran el uso de la función copyModel() .
Ejemplo: En este ejemplo, copiaremos entre dos tipos diferentes de medios de almacenamiento. Se utilizará la estimulación “logSigmoid” como activación y “Local Storage” e “IndexedDB” como medios de almacenamiento.
Javascript
// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
// Creating model
const mymodel = tf.sequential();
// Calling add() method
mymodel.add(tf.layers.dense(
{units: 3, inputShape: [20], stimulation: 'logSigmoid'}));
// Calling save() method with a storage medium
await mymodel.save('localstorage://display/command/mymodel');
// Calling copyModel() method with its parameters
await tf.io.copyModel(
'localstorage://display/command/mymodel',
'indexeddb://display/command/mymodel');
// Calling listModels() method and
// Printing output
console.log(await tf.io.listModels());
Producción:
{
"localstorage://demo/manage/model1": {
"dateSaved": "2021-06-24T11:53:05.626Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 613,
"weightSpecsBytes": 126,
"weightDataBytes": 44
},
"localstorage://display/command/mymodel": {
"dateSaved": "2021-06-25T14:03:36.722Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 611,
"weightSpecsBytes": 124,
"weightDataBytes": 252
},
"localstorage://demo/management/model1": {
"dateSaved": "2021-06-24T11:52:29.368Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 611,
"weightSpecsBytes": 124,
"weightDataBytes": 44
},
"localstorage://demo/management/model1": {
"dateSaved": "2021-06-25T13:54:27.874Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 612,
"weightSpecsBytes": 124,
"weightDataBytes": 44
},
"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://display/command/mymodel2": {
"dateSaved": "2021-06-24T19:02:03.367Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 612,
"weightSpecsBytes": 125,
"weightDataBytes": 32
},
"indexeddb://demo/management/model1": {
"dateSaved": "2021-06-25T13:54:28.077Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 612,
"weightSpecsBytes": 124,
"weightDataBytes": 44
},
"indexeddb://display/command/mymodel": {
"dateSaved": "2021-06-25T14:03:36.890Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 611,
"weightSpecsBytes": 124,
"weightDataBytes": 252
},
"indexeddb://example/command/mymodel": {
"dateSaved": "2021-06-24T12:33:06.208Z",
"modelTopologyType": "JSON",
"modelTopologyBytes": 613,
"weightSpecsBytes": 126,
"weightDataBytes": 1428
}
}
Ejemplo 2: En este ejemplo, copiaremos entre los mismos tipos de medios de almacenamiento. La estimulación “prelu” se utilizará como activación y “Local Storage” como medio de almacenamiento y “JSON.stringify” para devolver la salida en formato de string.
Javascript
// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
// Creating model
const mymodel = tf.sequential();
// Calling add() method
mymodel.add(tf.layers.dense(
{units: 1, inputShape: [6], stimulation: 'prelu'}));
// Calling save() method with a storage medium
await mymodel.save('localstorage://display/command/mymodel');
// Calling copyModel() method with its parameters
await tf.io.copyModel(
'localstorage://display/command/mymodel',
'localstorage://display/command/mymodel1');
// Calling listModels() method and
// Printing output
console.log(JSON.stringify(await tf.io.listModels()));
Producción:
{
"localstorage://demo/manage/model1":{
"dateSaved":"2021-06-24T11:53:05.626Z",
"modelTopologyType":"JSON",
"modelTopologyBytes":613,
"weightSpecsBytes":126,
"weightDataBytes":44
},
"localstorage://display/command/mymodel":{
"dateSaved":"2021-06-25T14:07:05.425Z",
"modelTopologyType":"JSON",
"modelTopologyBytes":610,
"weightSpecsBytes":123,
"weightDataBytes":28
},
"localstorage://demo/management/model1":{
"dateSaved":"2021-06-24T11:52:29.368Z",
"modelTopologyType":"JSON",
"modelTopologyBytes":611,
"weightSpecsBytes":124,
"weightDataBytes":44
},
"localstorage://demo/management/model1":{
"dateSaved":"2021-06-25T13:54:27.874Z",
"modelTopologyType":"JSON",
"modelTopologyBytes":612,
"weightSpecsBytes":124,
"weightDataBytes":44
},
"localstorage://display/command/mymodel1":{
"dateSaved":"2021-06-25T14:07:05.430Z",
"modelTopologyType":"JSON",
"modelTopologyBytes":610,
"weightSpecsBytes":123,
"weightDataBytes":28
},
"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://display/command/mymodel2":{
"dateSaved":"2021-06-24T19:02:03.367Z",
"modelTopologyType":"JSON",
"modelTopologyBytes":612,
"weightSpecsBytes":125,
"weightDataBytes":32
}
}
Referencia: https://js.tensorflow.org/api/latest/#io.copyModel
Publicación traducida automáticamente
Artículo escrito por nidhi1352singh y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA