import abc
import tensorflow as tf



class Model(metaclass=abc.ABCMeta):
  @abc.astractmethod
  def __init__(self, **hyperparameters_and_initial_parameters):
    return NotImplemented

  @abc.astractmethod
  def train(self, *input_tensors) -> tf.Tensor: # scalar loss
    return NotImplemented

  @abc.astractmethod
  def test(self, *input_tensors) -> tf.Tensor: # labels
    return NotImplemented

import abc
import tensorflow as tf



class Model(metaclass=abc.ABCMeta):
  @abc.astractmethod
  def __init__(self, **hyperparameters_and_initial_parameters):
    return NotImplemented

  @abc.astractmethod
  def train(self, *input_tensors) -> tf.Operation: # training operation
    return NotImplemented

  @abc.astractmethod
  def test(self, *input_tensors) -> tf.Tensor: # labels
    return NotImplemented

Fix type annotation for Model.train()
Fix type annotation for Model.train()

  import abc
  import tensorflow as tf
  
  
  
  class Model(metaclass=abc.ABCMeta):
    @abc.astractmethod
    def __init__(self, **hyperparameters_and_initial_parameters):
      return NotImplemented
  
    @abc.astractmethod
-   def train(self, *input_tensors) -> tf.Tensor: # scalar loss
+   def train(self, *input_tensors) -> tf.Operation: # training operation
      return NotImplemented
  
    @abc.astractmethod
    def test(self, *input_tensors) -> tf.Tensor: # labels
      return NotImplemented
  
Fix type annotation for Model.train()
## Code Before:
import abc
import tensorflow as tf



class Model(metaclass=abc.ABCMeta):
  @abc.astractmethod
  def __init__(self, **hyperparameters_and_initial_parameters):
    return NotImplemented

  @abc.astractmethod
  def train(self, *input_tensors) -> tf.Tensor: # scalar loss
    return NotImplemented

  @abc.astractmethod
  def test(self, *input_tensors) -> tf.Tensor: # labels
    return NotImplemented

## Instruction:
Fix type annotation for Model.train()
## Code After:
import abc
import tensorflow as tf



class Model(metaclass=abc.ABCMeta):
  @abc.astractmethod
  def __init__(self, **hyperparameters_and_initial_parameters):
    return NotImplemented

  @abc.astractmethod
  def train(self, *input_tensors) -> tf.Operation: # training operation
    return NotImplemented

  @abc.astractmethod
  def test(self, *input_tensors) -> tf.Tensor: # labels
    return NotImplemented
