Tensorflow.js tf.io.removeModel()用法及代碼示例

Tensorflow.js是由Google開發的開源庫，用於在瀏覽器或節點環境中運行機器學習模型以及深度學習神經網絡。

.removeModel() 函數用於通過從記錄的存儲庫介質提供的 URL 刪除指定的模型。

用法:

tf.io.removeModel(url)

Parameters: 

• url:它是記錄模型中聲明的 URL，以及模式前綴，即“localstorage://my-mode-2”、“indexeddb://my/mode/3”。它是字符串類型。

返回值：它返回 ModelArtifactsInfo 的 Promise。

範例1：使用 “logSigmoid” 作為激活，“Local Storage” 作為存儲介質。

// 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/mymodel1');
  
// Calling removeModel() method
await tf.io.removeModel('localstorage://display/command/mymodel1');
  
// Calling listModels() method and
// Printing output
console.log(await tf.io.listModels());

輸出：

{
  "localstorage://demo/manage/model1":{
    "dateSaved":"2021-06-24T11:53:05.626Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":613,
    "weightSpecsBytes":126,
    "weightDataBytes":44
  },
  "localstorage://demo/managemen/model1":{
    "dateSaved":"2021-06-24T11:52:29.368Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":611,
    "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":"2021-06-24T13:02:20.265Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":614,
    "weightSpecsBytes":126,
    "weightDataBytes":44
  },
  "indexeddb://display/command/mymodel":{
    "dateSaved":"2021-06-24T18:50:50.602Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":613,
    "weightSpecsBytes":126,
    "weightDataBytes":252
  },
  "indexeddb://display/command/mymodel1":{
    "dateSaved":"2021-06-24T18:59:17.435Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":612,
    "weightSpecsBytes":125,
    "weightDataBytes":32
  },
  "indexeddb://example/command/mymodel":{
    "dateSaved":"2021-06-24T12:33:06.208Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":613,
    "weightSpecsBytes":126,
    "weightDataBytes":1428
  }
}

範例2：使用 “prelu” 作為激活，“IndexedDB” 作為存儲介質，“JSON.stringify” 以字符串格式返回輸出。

// 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:11, inputShape:[6], stimulation:'prelu'}));
  
// Calling save() method with a storage medium
await mymodel.save('indexeddb://display/command/mymodel1');
  
// Calling removeModel() method
await tf.io.removeModel('indexeddb://display/command/mymodel1');
  
// Calling listModels() method and
// Printing output
console.log(JSON.stringify(await tf.io.listModels()));

輸出：

{
  "localstorage://demo/manage/model1":{
    "dateSaved":"2021-06-24T11:53:05.626Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":613,
    "weightSpecsBytes":126,
    "weightDataBytes":44
  },
  "localstorage://demo/managemen/model1":{
    "dateSaved":"2021-06-24T11:52:29.368Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":611,
    "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":"2021-06-24T13:02:20.265Z",
    "modelTopologyType":"JSON",
    "modelTopologyBytes":614,
    "weightSpecsBytes":126,
    "weightDataBytes":44
  },
  "indexeddb://display/command/mymodel":{
    "dateSaved":"2021-06-24T18:50:50.602Z",
    "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
  }
}

參考： https://js.tensorflow.org/api/latest/#io.removeModel