code: def __init__(self, model, loss, task):
      super(TaskLoss, self).__init__(model, loss)
      self.task = task
  
imports: import numpy
  import tensorflow
  from collections.abc import Sequence
  import logging
  from deepchem.models import KerasModel, layers
  from deepchem.models.losses import L2Loss, SparseSoftmaxCrossEntropy
  from deepchem.models.keras_model import _StandardLoss
  from tensorflow.keras.layers import Input, Dense, Dropout, ReLU, Concatenate, Add, Multiply, Softmax
label_desc: Use image node_id 1 to create a new TaskLoss object from inherited base classes: _StandardLoss with example: obj = TaskLoss(model, loss, task)