chore: import upstream snapshot with attribution

test/rpc/test_rpc.py

@@ -0,0 +1,147 @@
+# Copyright (c) 2022 PaddlePaddle 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.
+
+import os
+import unittest
+
+import numpy as np
+from test_rpc_base import RpcLaunchTestBase, RpcTestBase
+
+import paddle
+import paddle.distributed as dist
+
+paddle.device.set_device("cpu")
+
+
+def worker_name(rank):
+    return f"worker{rank}"
+
+
+def paddle_add(a, b):
+    a = paddle.to_tensor(a)
+    b = paddle.to_tensor(b)
+    res = paddle.add(a, b).numpy()
+    return res
+
+
+class TestMultiProcessRpc(RpcTestBase):
+    def test_one_server_sync_paddle_add(self):
+        a = np.random.random((10, 100))
+        b = np.random.random((10, 100))
+        res = np.add(a, b)
+        args = (a, b)
+        queues = self.run_rpc(True, 1, paddle_add, args)
+        out = queues[0].get()
+        np.testing.assert_allclose(out, res, rtol=1e-05)
+
+    def test_one_server_async_paddle_add(self):
+        a = np.random.random((10, 100))
+        b = np.random.random((10, 100))
+        res = np.add(a, b)
+        args = (a, b)
+        queues = self.run_rpc(False, 1, paddle_add, args)
+        out = queues[0].get()
+        np.testing.assert_allclose(out, res, rtol=1e-05)
+
+    def test_two_server_sync_paddle_add(self):
+        a = np.random.random((10, 100))
+        b = np.random.random((10, 100))
+        res = np.add(a, b)
+        args = (a, b)
+        queues = self.run_rpc(True, 2, paddle_add, args)
+        out1 = queues[0].get()
+        out2 = queues[1].get()
+        np.testing.assert_allclose(out1, res, rtol=1e-05)
+        np.testing.assert_allclose(out2, res, rtol=1e-05)
+
+    def test_two_server_async_paddle_add(self):
+        a = np.random.random((10, 100))
+        b = np.random.random((10, 100))
+        res = np.add(a, b)
+        args = (a, b)
+        queues = self.run_rpc(False, 2, paddle_add, args)
+        out1 = queues[0].get()
+        out2 = queues[1].get()
+        np.testing.assert_allclose(out1, res, rtol=1e-05)
+        np.testing.assert_allclose(out2, res, rtol=1e-05)
+
+
+class TestSingleProcessRpc(RpcTestBase):
+    def setUp(self):
+        self._port_set = set()
+        master_endpoint = f"127.0.0.1:{self._find_free_port()}"
+        dist.rpc.init_rpc(worker_name(0), 0, 1, master_endpoint)
+        print("Single Process RPC setUp...")
+
+    def tearDown(self):
+        dist.rpc.shutdown()
+        print("Single Process RPC tearDown...")
+
+    def test_sync_rpc_paddle_add(self):
+        a = np.random.random((10, 100))
+        b = np.random.random((10, 100))
+        res = np.add(a, b)
+        args = (a, b)
+        out = dist.rpc.rpc_sync(worker_name(0), paddle_add, args=args)
+        np.testing.assert_allclose(out, res, rtol=1e-05)
+
+    def test_async_rpc_paddle_add(self):
+        a = np.random.random((10, 100))
+        b = np.random.random((10, 100))
+        res = np.add(a, b)
+        args = (a, b)
+        out = dist.rpc.rpc_async(worker_name(0), paddle_add, args=args).wait()
+        np.testing.assert_allclose(out, res, rtol=1e-05)
+
+    def test_get_worker_info(self):
+        info = dist.rpc.get_worker_info(worker_name(0))
+        self.assertEqual(info.name, worker_name(0))
+        self.assertEqual(info.rank, 0)
+
+    def test_get_all_worker_infos(self):
+        infos = dist.rpc.get_all_worker_infos()
+        info = infos[0]
+        self.assertEqual(info.name, worker_name(0))
+        self.assertEqual(info.rank, 0)
+
+    def test_get_current_worker_info(self):
+        info = dist.rpc.get_current_worker_info()
+        self.assertEqual(info.name, worker_name(0))
+        self.assertEqual(info.rank, 0)
+
+
+class RpcLaunchTest(RpcLaunchTestBase):
+    def test_sync_rpc_paddle_add1(self):
+        nnodes = 2
+        nproc_per_node = 1
+        pwd, _ = os.path.split(os.path.realpath(__file__))
+        model_file = os.path.join(pwd, "rpc_launch_sync_add.py")
+        a, b = self.create_data(nnodes, nproc_per_node)
+        res = np.add(a, b)
+        out = self.launch_rpc(nnodes, nproc_per_node, model_file)
+        np.testing.assert_allclose(out, res, rtol=1e-05)
+
+    def test_sync_rpc_paddle_add2(self):
+        nnodes = 2
+        nproc_per_node = 2
+        pwd, _ = os.path.split(os.path.realpath(__file__))
+        model_file = os.path.join(pwd, "rpc_launch_sync_add.py")
+        a, b = self.create_data(nnodes, nproc_per_node)
+        res = np.add(a, b)
+        out = self.launch_rpc(nnodes, nproc_per_node, model_file)
+        np.testing.assert_allclose(out, res, rtol=1e-05)
+
+
+if __name__ == "__main__":
+    unittest.main()