Internal change

PiperOrigin-RevId: 413981781

official/legacy/detection/modeling/optimizers.py

+# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Optimizers."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import functools
+
+import tensorflow as tf
+
+
+class OptimizerFactory(object):
+  """Class to generate optimizer function."""
+
+  def __init__(self, params):
+    """Creates optimized based on the specified flags."""
+    if params.type == 'momentum':
+      self._optimizer = functools.partial(
+          tf.keras.optimizers.SGD,
+          momentum=params.momentum,
+          nesterov=params.nesterov)
+    elif params.type == 'adam':
+      self._optimizer = tf.keras.optimizers.Adam
+    elif params.type == 'adadelta':
+      self._optimizer = tf.keras.optimizers.Adadelta
+    elif params.type == 'adagrad':
+      self._optimizer = tf.keras.optimizers.Adagrad
+    elif params.type == 'rmsprop':
+      self._optimizer = functools.partial(
+          tf.keras.optimizers.RMSprop, momentum=params.momentum)
+    else:
+      raise ValueError('Unsupported optimizer type `{}`.'.format(params.type))
+
+  def __call__(self, learning_rate):
+    return self._optimizer(learning_rate=learning_rate)

official/legacy/detection/ops/__init__.py

+# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+