From: Francois Chollet <fchollet@google.com>
Date: Mon, 4 Jun 2018 21:46:38 +0000 (-0700)
Subject: Add various missing aliases for symbols in tf.keras submodules.
X-Git-Tag: upstream/v1.9.0_rc1~8^2~2
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=0eac1ebafc1e16e6440658d6b431998f3e682bbc;p=platform%2Fupstream%2Ftensorflow.git

Add various missing aliases for symbols in tf.keras submodules.

PiperOrigin-RevId: 199198086
---

diff --git a/tensorflow/python/keras/losses.py b/tensorflow/python/keras/losses.py
index d82ebd9..9f548bf 100644
--- a/tensorflow/python/keras/losses.py
+++ b/tensorflow/python/keras/losses.py
@@ -30,19 +30,31 @@ from tensorflow.python.util.tf_export import tf_export
 
 
 @tf_export('keras.metrics.mean_squared_error',
-           'keras.losses.mean_squared_error')
+           'keras.metrics.mse',
+           'keras.metrics.MSE',
+           'keras.losses.mean_squared_error',
+           'keras.losses.mse',
+           'keras.losses.MSE')
 def mean_squared_error(y_true, y_pred):
   return K.mean(math_ops.square(y_pred - y_true), axis=-1)
 
 
 @tf_export('keras.metrics.mean_absolute_error',
-           'keras.losses.mean_absolute_error')
+           'keras.metrics.mae',
+           'keras.metrics.MAE',
+           'keras.losses.mean_absolute_error',
+           'keras.losses.mae',
+           'keras.losses.MAE')
 def mean_absolute_error(y_true, y_pred):
   return K.mean(math_ops.abs(y_pred - y_true), axis=-1)
 
 
 @tf_export('keras.metrics.mean_absolute_percentage_error',
-           'keras.losses.mean_absolute_percentage_error')
+           'keras.metrics.mape',
+           'keras.metrics.MAPE',
+           'keras.losses.mean_absolute_percentage_error',
+           'keras.losses.mape',
+           'keras.losses.MAPE')
 def mean_absolute_percentage_error(y_true, y_pred):
   diff = math_ops.abs(
       (y_true - y_pred) / K.clip(math_ops.abs(y_true), K.epsilon(), None))
@@ -50,7 +62,11 @@ def mean_absolute_percentage_error(y_true, y_pred):
 
 
 @tf_export('keras.metrics.mean_squared_logarithmic_error',
-           'keras.losses.mean_squared_logarithmic_error')
+           'keras.metrics.msle',
+           'keras.metrics.MSLE',
+           'keras.losses.mean_squared_logarithmic_error',
+           'keras.losses.msle',
+           'keras.losses.MSLE')
 def mean_squared_logarithmic_error(y_true, y_pred):
   first_log = math_ops.log(K.clip(y_pred, K.epsilon(), None) + 1.)
   second_log = math_ops.log(K.clip(y_true, K.epsilon(), None) + 1.)
@@ -117,7 +133,11 @@ def binary_crossentropy(y_true, y_pred):
 
 
 @tf_export('keras.metrics.kullback_leibler_divergence',
-           'keras.losses.kullback_leibler_divergence')
+           'keras.metrics.kld',
+           'keras.metrics.KLD',
+           'keras.losses.kullback_leibler_divergence',
+           'keras.losses.kld',
+           'keras.losses.KLD')
 def kullback_leibler_divergence(y_true, y_pred):
   y_true = K.clip(y_true, K.epsilon(), 1)
   y_pred = K.clip(y_pred, K.epsilon(), 1)
@@ -129,7 +149,10 @@ def poisson(y_true, y_pred):
   return K.mean(y_pred - y_true * math_ops.log(y_pred + K.epsilon()), axis=-1)
 
 
-@tf_export('keras.metrics.cosine_proximity', 'keras.losses.cosine_proximity')
+@tf_export('keras.metrics.cosine_proximity',
+           'keras.metrics.cosine',
+           'keras.losses.cosine_proximity',
+           'keras.losses.cosine')
 def cosine_proximity(y_true, y_pred):
   y_true = nn.l2_normalize(y_true, axis=-1)
   y_pred = nn.l2_normalize(y_pred, axis=-1)
diff --git a/tensorflow/python/ops/init_ops.py b/tensorflow/python/ops/init_ops.py
index 1f8d8dc..2df230d 100644
--- a/tensorflow/python/ops/init_ops.py
+++ b/tensorflow/python/ops/init_ops.py
@@ -86,7 +86,7 @@ class Initializer(object):
 
 
 @tf_export("keras.initializers.Zeros", "initializers.zeros",
-           "zeros_initializer")
+           "zeros_initializer", "keras.initializers.zeros")
 class Zeros(Initializer):
   """Initializer that generates tensors initialized to 0."""
 
@@ -102,7 +102,8 @@ class Zeros(Initializer):
     return {"dtype": self.dtype.name}
 
 
-@tf_export("keras.initializers.Ones", "initializers.ones", "ones_initializer")
+@tf_export("keras.initializers.Ones", "initializers.ones", "ones_initializer",
+           "keras.initializers.ones")
 class Ones(Initializer):
   """Initializer that generates tensors initialized to 1."""
 
@@ -119,7 +120,7 @@ class Ones(Initializer):
 
 
 @tf_export("keras.initializers.Constant", "initializers.constant",
-           "constant_initializer")
+           "constant_initializer", "keras.initializers.constant")
 class Constant(Initializer):
   """Initializer that generates tensors with constant values.
 
@@ -225,7 +226,8 @@ class Constant(Initializer):
 
 
 @tf_export("keras.initializers.RandomUniform", "initializers.random_uniform",
-           "random_uniform_initializer")
+           "random_uniform_initializer", "keras.initializers.uniform",
+           "keras.initializers.random_uniform")
 class RandomUniform(Initializer):
   """Initializer that generates tensors with a uniform distribution.
 
@@ -262,7 +264,8 @@ class RandomUniform(Initializer):
 
 
 @tf_export("keras.initializers.RandomNormal", "initializers.random_normal",
-           "random_normal_initializer")
+           "random_normal_initializer", "keras.initializers.normal",
+           "keras.initializers.random_normal")
 class RandomNormal(Initializer):
   """Initializer that generates tensors with a normal distribution.
 
@@ -299,7 +302,8 @@ class RandomNormal(Initializer):
 
 
 @tf_export("keras.initializers.TruncatedNormal",
-           "initializers.truncated_normal", "truncated_normal_initializer")
+           "initializers.truncated_normal", "truncated_normal_initializer",
+           "keras.initializers.truncated_normal")
 class TruncatedNormal(Initializer):
   """Initializer that generates a truncated normal distribution.
 
@@ -482,7 +486,7 @@ class VarianceScaling(Initializer):
 
 
 @tf_export("keras.initializers.Orthogonal", "initializers.orthogonal",
-           "orthogonal_initializer")
+           "orthogonal_initializer", "keras.initializers.orthogonal")
 class Orthogonal(Initializer):
   """Initializer that generates an orthogonal matrix.
 
@@ -1062,7 +1066,8 @@ class ConvolutionOrthogonal3D(ConvolutionOrthogonal):
     return self._dict_to_tensor(p, ksize, ksize, ksize)
 
 
-@tf_export("keras.initializers.Identity", "initializers.identity")
+@tf_export("keras.initializers.Identity", "initializers.identity",
+           "keras.initializers.identity")
 class Identity(Initializer):
   """Initializer that generates the identity matrix.
 
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.constant.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.constant.pbtxt
new file mode 100644
index 0000000..bddc37b
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.constant.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.constant"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.identity.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.identity.pbtxt
new file mode 100644
index 0000000..a4c5a61
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.identity.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.identity"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Identity\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.normal.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.normal.pbtxt
new file mode 100644
index 0000000..7485772
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.normal"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.ones.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.ones.pbtxt
new file mode 100644
index 0000000..a89f78d
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.ones.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.ones"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Ones\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.orthogonal.pbtxt
new file mode 100644
index 0000000..ee1e9bb
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.orthogonal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.orthogonal"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Orthogonal\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.pbtxt
index 093c565..14a6678 100644
--- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.pbtxt
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.pbtxt
@@ -40,6 +40,46 @@ tf_module {
     name: "Zeros"
     mtype: "<type \'type\'>"
   }
+  member {
+    name: "constant"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "identity"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "normal"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "ones"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "orthogonal"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "random_normal"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "random_uniform"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "truncated_normal"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "uniform"
+    mtype: "<type \'type\'>"
+  }
+  member {
+    name: "zeros"
+    mtype: "<type \'type\'>"
+  }
   member_method {
     name: "deserialize"
     argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_normal.pbtxt
new file mode 100644
index 0000000..a6df1e8
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.random_normal"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_uniform.pbtxt
new file mode 100644
index 0000000..37a0fa0
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_uniform.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.random_uniform"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.truncated_normal.pbtxt
new file mode 100644
index 0000000..f97e93f
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.truncated_normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.truncated_normal"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.uniform.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.uniform.pbtxt
new file mode 100644
index 0000000..58186b1
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.uniform.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.uniform"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.initializers.zeros.pbtxt
new file mode 100644
index 0000000..a262390
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.keras.initializers.zeros.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.zeros"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>"
+  is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+  is_instance: "<type \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.losses.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.losses.pbtxt
index ae5f630..eca6b91 100644
--- a/tensorflow/tools/api/golden/tensorflow.keras.losses.pbtxt
+++ b/tensorflow/tools/api/golden/tensorflow.keras.losses.pbtxt
@@ -1,6 +1,26 @@
 path: "tensorflow.keras.losses"
 tf_module {
   member_method {
+    name: "KLD"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MAE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MAPE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MSE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MSLE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "binary_crossentropy"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
@@ -13,6 +33,10 @@ tf_module {
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "cosine"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "cosine_proximity"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
@@ -29,6 +53,10 @@ tf_module {
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "kld"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "kullback_leibler_divergence"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
@@ -37,6 +65,14 @@ tf_module {
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "mae"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "mape"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "mean_absolute_error"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
@@ -53,6 +89,14 @@ tf_module {
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "mse"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "msle"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "poisson"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.metrics.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.metrics.pbtxt
index 42729e4..a97a9b5 100644
--- a/tensorflow/tools/api/golden/tensorflow.keras.metrics.pbtxt
+++ b/tensorflow/tools/api/golden/tensorflow.keras.metrics.pbtxt
@@ -1,6 +1,26 @@
 path: "tensorflow.keras.metrics"
 tf_module {
   member_method {
+    name: "KLD"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MAE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MAPE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MSE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "MSLE"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "binary_accuracy"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
@@ -17,6 +37,10 @@ tf_module {
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "cosine"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "cosine_proximity"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
@@ -33,10 +57,22 @@ tf_module {
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "kld"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "kullback_leibler_divergence"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "mae"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "mape"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "mean_absolute_error"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
@@ -53,6 +89,14 @@ tf_module {
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }
   member_method {
+    name: "mse"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "msle"
+    argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
     name: "poisson"
     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
   }