fixed typo in multioptimizer class name and added code owners (tensorflow#2164)

Author: hyang0129

.github/CODEOWNERS

@@ -146,6 +146,8 @@
 /tensorflow_addons/optimizers/tests/conditional_gradient_test.py @pkan2 @lokhande-vishnu
 /tensorflow_addons/optimizers/cyclical_learning_rate.py @raphaelmeudec
 /tensorflow_addons/optimizers/tests/cyclical_learning_rate_test.py @raphaelmeudec
+/tensorflow_addons/optimizers/discriminative_layer_training.py @hyang0129
+/tensorflow_addons/optimizers/tests/discriminative_layer_training_test.py @hyang0129
 /tensorflow_addons/optimizers/lamb.py @junjiek
 /tensorflow_addons/optimizers/tests/lamb_test.py @junjiek
 /tensorflow_addons/optimizers/lazy_adam.py @ssaishruthi

tensorflow_addons/optimizers/__init__.py

@@ -27,7 +27,7 @@
     ExponentialCyclicalLearningRate,
 )
 from tensorflow_addons.optimizers.discriminative_layer_training import (
-    MultiOptimzer,
+    MultiOptimizer,
 )
 from tensorflow_addons.optimizers.lamb import LAMB
 from tensorflow_addons.optimizers.lazy_adam import LazyAdam

tensorflow_addons/optimizers/discriminative_layer_training.py

@@ -21,7 +21,7 @@
 
 
 @tf.keras.utils.register_keras_serializable(package="Addons")
-class MultiOptimzer(tf.keras.optimizers.Optimizer):
+class MultiOptimizer(tf.keras.optimizers.Optimizer):
     """Multi Optimizer Wrapper for Discriminative Layer Training.
 
     Creates a wrapper around a set of instantiated optimizer layer pairs. Generally useful for transfer learning
@@ -84,7 +84,7 @@ def __init__(
         **kwargs
     ):
 
-        super(MultiOptimzer, self).__init__(name, **kwargs)
+        super(MultiOptimizer, self).__init__(name, **kwargs)
 
         if optimizer_specs is None and optimizers_and_layers is not None:
             self.optimizer_specs = [
@@ -126,7 +126,7 @@ def apply_gradients(self, grads_and_vars, name=None, **kwargs):
         )
 
     def get_config(self):
-        config = super(MultiOptimzer, self).get_config()
+        config = super(MultiOptimizer, self).get_config()
         config.update({"optimizer_specs": self.optimizer_specs})
         return config
 

tensorflow_addons/optimizers/tests/discriminative_layer_training_test.py

@@ -18,7 +18,7 @@
 import numpy as np
 import tensorflow as tf
 
-from tensorflow_addons.optimizers.discriminative_layer_training import MultiOptimzer
+from tensorflow_addons.optimizers.discriminative_layer_training import MultiOptimizer
 from tensorflow_addons.utils import test_utils
 
 
@@ -66,7 +66,7 @@ def test_fit_layer_optimizer(dtype, device, serialize):
     opt_layer_pairs = [(opt1, model.layers[0]), (opt2, model.layers[1])]
 
     loss = tf.keras.losses.MSE
-    optimizer = MultiOptimzer(opt_layer_pairs)
+    optimizer = MultiOptimizer(opt_layer_pairs)
 
     model.compile(optimizer=optimizer, loss=loss)
 
@@ -106,7 +106,7 @@ def test_serialization():
 
     opt_layer_pairs = [(opt1, model.layers[0]), (opt2, model.layers[1])]
 
-    optimizer = MultiOptimzer(opt_layer_pairs)
+    optimizer = MultiOptimizer(opt_layer_pairs)
     config = tf.keras.optimizers.serialize(optimizer)
 
     new_optimizer = tf.keras.optimizers.deserialize(config)