From 74ba6bf0876094025b1a7b949468afc4dcffe9ad Mon Sep 17 00:00:00 2001
From: Deepali Jain <jaindeepali@google.com>
Date: Mon, 9 Dec 2024 04:33:08 -0800
Subject: [PATCH] Config files for Iris experiments

PiperOrigin-RevId: 704233511
---
 iris/configs/example_config.py | 66 ++++++++++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 iris/configs/example_config.py

diff --git a/iris/configs/example_config.py b/iris/configs/example_config.py
new file mode 100644
index 0000000..b1b432a
--- /dev/null
+++ b/iris/configs/example_config.py
@@ -0,0 +1,66 @@
+# Copyright 2024 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.
+
+"""Example configuration for Iris experiments."""
+
+
+from iris import worker
+from iris.algorithms import ars_algorithm
+from ml_collections import config_dict
+import numpy as np
+
+
+def get_coordinator_config():
+  """Coordinator config."""
+
+  return config_dict.ConfigDict(
+      dict(
+          save_rate=10,
+          eval_rate=1,
+          num_iterations=400,
+          num_evals_per_suggestion=1))
+
+
+def get_worker_config():
+  """Worker config."""
+
+  return config_dict.ConfigDict(
+      dict(
+          worker_class=worker.SimpleWorker,
+          worker_args={'initial_params': np.ones(10),
+                       'blackbox_function': lambda x: -1 * np.sum(x**2)}))
+
+
+def get_algo_config():
+  """Algorithm config."""
+
+  return config_dict.ConfigDict(
+      dict(
+          algorithm_class=ars_algorithm.AugmentedRandomSearch,
+          algorithm_args=dict(
+              num_suggestions=8,
+              num_evals=10,
+              top_percentage=0.5,
+              std=0.1,
+              step_size=0.1,
+              random_seed=7)))
+
+
+def get_config():
+  """Main config."""
+  return config_dict.ConfigDict(
+      dict(
+          coordinator=get_coordinator_config(),
+          worker=get_worker_config(),
+          algo=get_algo_config()))