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diff --git a/fcp/tensorflow/task_eligibility_info_ops.py b/fcp/tensorflow/task_eligibility_info_ops.py
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+++ b/fcp/tensorflow/task_eligibility_info_ops.py
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+# Copyright 2021 Google LLC
+#
+# 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.
+"""Ops for creating TaskEligibilityInfo results."""
+
+import tensorflow as tf
+
+# Ops implemented in C++
+from fcp.tensorflow import gen_task_eligibility_info_ops
+
+_task_eligibility_info_ops_so = tf.load_op_library(
+    tf.compat.v1.resource_loader.get_path_to_datafile(
+        "./_task_eligibility_info_ops.so"))
+
+
+def create_task_eligibility_info(version, task_names, task_weights):
+  """Outputs a serialized `TaskEligibilityInfo` proto based on the given inputs.
+
+  This op is used to generate `TaskEligibilityInfo` protos from a model at
+  runtime, since TF Mobile does not support the standard TensorFlow ops for
+  encoding/decoding protos.
+
+  See the `TaskEligibilityInfo` and `TaskWeight` proto message documentation for
+  more information.
+
+  Args:
+    version: an int64 value to place in the `TaskEligibilityInfo.version` field.
+    task_names: a rank-1 string tensor containing the task names to assign
+      weights to. Each entry in this tensor will be combined with the
+      corresponding entry into the `task_weights` tensor at the same index, to
+      form a `TaskWeight` message.
+    task_weights: a rank-1 float tensor containing the task weight for each task
+      (see `task_names`). Note: this tensor must have the same number of
+        elements as `task_names`.
+
+  Returns:
+    a string tensor containing the serialized proto.
+  """
+  # Convert the inputs to tensors, as a convenience to callers. This ensures
+  # that they can easily pass regular Python or numpy types in addition to
+  # actual tensors.
+  version = tf.convert_to_tensor(version, dtype=tf.int64, name="version")
+  task_names = tf.convert_to_tensor(
+      task_names, dtype=tf.string, name="task_names")
+  task_weights = tf.convert_to_tensor(
+      task_weights, dtype=tf.float32, name="task_weights")
+  return gen_task_eligibility_info_ops.create_task_eligibility_info(
+      version=version, task_names=task_names, task_weights=task_weights)