class_docstr: A Worker object is created for each training thread.
class_docstr_tok: ["A","Worker","object","is","created","for","each","training","thread","."]
code: def _compute_model(self, inputs):
      return self.model.model(inputs)
  
imports: import copy
  import time
  from collections.abc import Sequence
  from multiprocessing.dummy import Pool
  import numpy
  import tensorflow
  from deepchem.models import KerasModel
  from deepchem.models.optimizers import Adam
label_desc: Use image node_id 7 for calling the _Worker obj's underlying member method code with example usage: obj._compute_model(inputs) and returns: self