TensorSpace.js
Getting Start
Basic Concepts
Model Preprocessing
Models
Layers
Merge Function
Cropping1d
Apply cropping to the one-dimentional input.
Constructor
〔Method 1〕Use cropping
TSP.layers.Cropping1d( { cropping : [1, 1] } );
〔Method 2〕Use shape
TSP.layers.Cropping1d( { shape : [ Int, Int ] } );
Fig. 1 - Cropping1d layer collapse and expand
Arguments

Name

Tag

Type

Instruction

Usage Notes and Examples

cropping

📦

Int[] Cropping value cropping : [2, 3] means to crop at [left=2, right=3]

name

🔧

String Name of this layer. Highly recommend to arrange to make code more readable. name: "layerName"

color

⚙️🎨

color format Color of layer Cropping1d default is #cefc86

closeButton

⚙️🎨

Dict Close button appearance control dict, more about close button

display : Boolean. true[default] Show button, false Hide button

ratio : Int. Times to normal size, default is 1

For example, 2 means twice the normal size

initStatus

⚙️️🎦

String Layer status at beginning. Open or Close close[default] : Closed at beginning

animeTime

⚙️🎦

Int The speed of open and close animation For example, 2000 means 2 seconds. Note: Configure animeTime in a specific layer will override model's animeTime configuration.
Properties
.inputShape : Int[]
filter_center_focusThe shape of input tensor, for example inputShape = [ 28, 2 ] represents 2 feature vectors and length of each one is 28.
filter_center_focusAfter model.init() data is available, otherwise is undefined.
.outputShape : Int[]
filter_center_focusThe shape of output tensor is 2-dimensional. 2️⃣
filter_center_focusdataFormat is channel last. for example outputShape = [ 32, 4 ] represents the output through this layer has 4 feature vectors and length of each one is 32.
filter_center_focusAfter model.init() data is available, otherwise is undefined.
.neuralValue : Float[]
filter_center_focusThe intermediate raw data after this layer.
filter_center_focusAfter load and model.predict() data is available, otherwise is undefined.
.name : String
filter_center_focusThe custom name for this layer.
filter_center_focusOnce created, you can get it.
.layerType : String
filter_center_focusType of this layer, return a constant: string Cropping1d.
filter_center_focusOnce created, you can get it.
Method
filter_center_focusThis method only used in Functional Model (Non-sequential, Graph structure).
filter_center_focusLink this layer to layer which is the previous layer.
filter_center_focusTo crete a link between this layer and the previous layer. You don't need to use this method specifically to create links in Sequential Model; Instead, you can simply add layers along the lines of Keras or TensorFlow.js build the model syntax.
let inputLayer = new TSP.layers.Input1d( {

    shape: [28]

} );

let croppingLayer = new TSP.layers.Cropping1d( {

    cropping : [2, 2]

} );

croppingLayer.apply( inputLayer );
.openLayer() : void
filter_center_focusClick on the layer directly to open it by interacting directly with the object in the 3D scene.
filter_center_focusIn code, calling the method to open it.
let croppingLayer = new TSP.layers.Cropping1d( {

    // configure some parameters for Cropping1d.

} );

model.add( croppingLayer );

// ... add more layers for model.

model.init();

// Call openLayer API to open layer.

croppingLayer.openLayer();
filter_center_focusTo close by interacting directly with objects in a 3D scene by clicking the close button.
filter_center_focus In code, calling the method to close it.
let croppingLayer = new TSP.layers.Cropping1d( {

    // configure some parameters for Cropping1d.

} );

model.add( croppingLayer );

// ... add more layers for model.

model.init();

// If this layer already opened, call closeLayer API to close layer.

croppingLayer.closeLayer();
Example
filter_center_focus Declare an instance of Cropping1d to facilitate reuse
let croppingLayer = new TSP.layers.Cropping1d( {

    cropping : [2, 2],
    animeTime: 4000,
    name: "cropping1d1",
    opacityRatio: 2
    initStatus: "open"

} );

model.add( croppingLayer );
filter_center_focusAdd Cropping1d directly
model.add(new TSP.layers.Cropping1d( {

    cropping : [2, 2],
    name: "cropping1d2"

} ));
Use Case
When you add cropping layer with Keras | TensorFlow | tfjs in your model the corresponding API is Cropping1d in TensorSpace.
Framework Documentation
Keras keras.layers.Cropping1D(cropping=(1, 1))
TensorFlow tf.keras.layers.Cropping1D
TensorFlow.js tf.layers.cropping2D (config)
Tag Lookup
Tag Icon Meaning Instruction
⭐️ Required Must be provided, cannot be empty. Meanwhile constructor works properly if this arguments provided. Control arguments use default value.
🔧 Suggest Recommended for giving. The API can work without them.
⚙️ Optional As an auxiliary adjustment parameter when used, selectively added according to the specific situation The parameters here have no effect on the structure of the layer (3D visualized form).
📦 Model Configure the properties of the Layer. It changes the output shape.
🎨 Style Override the properties in TSP.model (model configuration)
🎦 Animation Override the properties in TSP.model (model configuration)
Source Code
tensorspace/src/layer/intermediate/Cropping1d.js