activation func

official/modeling/activations/attention_initializer.py

+# Copyright 2019 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.
+# ==============================================================================
+"""Gaussian error linear unit."""
+
+import tensorflow as tf
+
+
+@tf.keras.utils.register_keras_serializable(package='Text')
+def gelu(x):
+  """Gaussian Error Linear Unit.
+
+  This is a smoother version of the RELU.
+  Original paper: https://arxiv.org/abs/1606.08415
+  Args:
+    x: float Tensor to perform activation.
+
+  Returns:
+    `x` with the GELU activation applied.
+  """
+  return tf.keras.activations.gelu(x, approximate=True)