Method add

tfjs-layers/src/models.ts:452–555

* Adds a layer instance on top of the layer stack. * * ```js * const model = tf.sequential(); * model.add(tf.layers.dense({units: 8, inputShape: [1]})); * model.add(tf.layers.dense({units: 4, activation: 'relu6'})); * model.add(tf.layers.dense({units: 1, activation: 'relu6'}));

(layer: Layer)

   * @doc {heading: 'Models', subheading: 'Classes'}
   */
  add(layer: Layer): void {
    const isLayerModelInstance =
        layer instanceof Sequential || layer instanceof LayersModel;
    let modelLayer: LayersModel;
    if (isLayerModelInstance) {
      modelLayer = layer as LayersModel;
      if (modelLayer.outputs.length !== 1) {
        throw new ValueError(
            'All layers in a Sequential model ' +
            'should have a single output tensor. ' +
            'For multi-output layers, ' +
            'use the functional API.');
      }
      if (modelLayer.inputs.length !== 1) {
        throw new ValueError(
            'All layers in a Sequential model ' +
            'should have a single input tensor. ' +
            'For multi-input layers, ' +
            'use the functional API.');
      }
    }

    if (this.outputs.length === 0) {
      // first layer in model: check that it is an input layer
      if (layer.inboundNodes.length === 0) {
        // create an input layer
        if (layer.batchInputShape == null) {
          throw new ValueError(
              'The first layer in a Sequential model must ' +
              'get an `inputShape` or `batchInputShape` argument.');
        }
        // Instantiate the input layer.
        const x = Input({
          batchShape: layer.batchInputShape,
          dtype: layer.dtype,
          name: layer.name + '_input'
        });
        // This will build the current layer and create the node connecting
        // the current layer to the input layer we just created.
        layer.apply(x);
      }

      if (isLayerModelInstance) {
        this.outputs = modelLayer.outputs;
        this.inputs = modelLayer.inputs;
      } else {
        if (layer.inboundNodes.length !== 1) {
          throw new ValueError(
              'A layer added to a Sequential model must not already be ' +
              `connected somewhere else. LayersModel received layer ${
                  layer.name} ` +
              `which has ${layer.inboundNodes.length} pre-existing inbound ` +
              'connections.');
        }

        if (layer.inboundNodes[0].outputTensors.length !== 1) {
          throw new ValueError(
              'All layers in a Sequential model ' +