Method executeAsync

tfjs-converter/src/executor/graph_model.ts:534–545

* Executes inference for the model for given input tensors in async * fashion, use this method when your model contains control flow ops. * @param inputs tensor, tensor array or tensor map of the inputs for the * model, keyed by the input node names. * @param outputs output node name fro

(
      inputs: Tensor|Tensor[]|NamedTensorMap,
      outputs?: string|string[])

   * @doc {heading: 'Models', subheading: 'Classes'}
   */
  async executeAsync(
      inputs: Tensor|Tensor[]|NamedTensorMap,
      outputs?: string|string[]): Promise<Tensor|Tensor[]> {
    if (this.resourceIdToCapturedInput == null) {
      this.setResourceIdToCapturedInput(
          await this.executeInitializerGraphAsync());
    }
    inputs = this.normalizeInputs(inputs);
    outputs = this.normalizeOutputs(outputs);
    const result = await this.executor.executeAsync(inputs, outputs);
    return result.length > 1 ? result : result[0];
  }

  /**
   * Get intermediate tensors for model debugging mode (flag