async executeAsync(inputs, outputs) {
          inputs = this.normalizeInputs(inputs);
          outputs = this.normalizeOutputs(outputs);
          const result = await this.executor.executeAsync(inputs, outputs);
          return result.length > 1 ? result : result[0];
      }
/**
       * 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 from the Tensorflow model, if no outputs
       * are specified, the default outputs of the model would be used. You can
       * inspect intermediate nodes of the model by adding them to the outputs
       * array.
       *
       * @returns A Promise of single tensor if provided with a single output or
       * no outputs are provided and there is only one default output, otherwise
       * return a tensor map.
       *
       * @doc {heading: 'Models', subheading: 'Classes'}
       */
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 from the Tensorflow model, if no outputs
are specified, the default outputs of the model would be used. You can
inspect intermediate nodes of the model by adding them to the outputs
array.

@returns A Promise of single tensor if provided with a single output or
no outputs are provided and there is only one default output, otherwise
return a tensor map.

@doc {heading: 'Models', subheading: 'Classes'}
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 from the Tensorflow model if no outputs are specified the default outputs of the model would be used . You can inspect intermediate nodes of the model by adding them to the outputs array . @returns A Promise of single tensor if provided with a single output or no outputs are provided and there is only one default output otherwise return a tensor map . @doc { heading : ' Models ' subheading : ' Classes ' }
async executeAsync(inputs, outputs) {
          inputs = this.normalizeInputs(inputs);
          outputs = this.normalizeOutputs(outputs);
          const result = await this.executor.executeAsync(inputs, outputs);
          return result.length > 1 ? result : result[0];
      }
async executeAsync ( inputs , outputs ) { inputs = this . normalizeInputs ( inputs ) ; outputs = this . normalizeOutputs ( outputs ) ; const result = await this . executor . executeAsync ( inputs , outputs ) ; return result . length > 1 ? result : result [ 0 ] ; }
Executes inference for the model for given input tensors in async
 fashion, use this method when your model contains control flow ops.
Executes inference for the model for given input tensors in async fashion use this method when your model contains control flow ops .