code: def train(self, data, label):
      _tf = _lazy_import_tensorflow()
      assert self.is_initialized
  
      data_shape = data.shape[0]
      _, final_train_loss, final_train_accuracy = self.sess.run(
          [self.optimizer, self.cost, self.accuracy],
          feed_dict={
              self.x: data.reshape((data_shape, 12288)),
              self.y: _tf.keras.utils.to_categorical(
                  label, self.num_classes
              ).reshape((data_shape, self.num_classes)),
          },
      )
      result = {
          "accuracy": final_train_accuracy,
          "loss": final_train_loss,
      }
      return result
  
file_path: turicreate/src/python/turicreate/toolkits/sound_classifier/_tf_sound_classifier.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from .._tf_model import TensorFlowModel
  import turicreate.toolkits._tf_utils
  from turicreate._deps.minimal_package import _minimal_package_import_check
label_desc: Use image node_id 6 for calling the SoundClassifierTensorFlowModel obj's underlying member method code with example usage: obj.train(data, label) and returns: result