wehub-resource-sync
148 lines
4.8 KiB
Python
148 lines
4.8 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import unittest
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import numpy as np
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from test_rpc_base import RpcLaunchTestBase, RpcTestBase
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import paddle
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import paddle.distributed as dist
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paddle.device.set_device("cpu")
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def worker_name(rank):
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return f"worker{rank}"
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def paddle_add(a, b):
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a = paddle.to_tensor(a)
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b = paddle.to_tensor(b)
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res = paddle.add(a, b).numpy()
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return res
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class TestMultiProcessRpc(RpcTestBase):
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def test_one_server_sync_paddle_add(self):
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a = np.random.random((10, 100))
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b = np.random.random((10, 100))
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res = np.add(a, b)
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args = (a, b)
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queues = self.run_rpc(True, 1, paddle_add, args)
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out = queues[0].get()
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np.testing.assert_allclose(out, res, rtol=1e-05)
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def test_one_server_async_paddle_add(self):
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a = np.random.random((10, 100))
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b = np.random.random((10, 100))
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res = np.add(a, b)
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args = (a, b)
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queues = self.run_rpc(False, 1, paddle_add, args)
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out = queues[0].get()
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np.testing.assert_allclose(out, res, rtol=1e-05)
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def test_two_server_sync_paddle_add(self):
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a = np.random.random((10, 100))
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b = np.random.random((10, 100))
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res = np.add(a, b)
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args = (a, b)
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queues = self.run_rpc(True, 2, paddle_add, args)
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out1 = queues[0].get()
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out2 = queues[1].get()
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np.testing.assert_allclose(out1, res, rtol=1e-05)
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np.testing.assert_allclose(out2, res, rtol=1e-05)
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def test_two_server_async_paddle_add(self):
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a = np.random.random((10, 100))
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b = np.random.random((10, 100))
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res = np.add(a, b)
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args = (a, b)
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queues = self.run_rpc(False, 2, paddle_add, args)
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out1 = queues[0].get()
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out2 = queues[1].get()
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np.testing.assert_allclose(out1, res, rtol=1e-05)
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np.testing.assert_allclose(out2, res, rtol=1e-05)
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class TestSingleProcessRpc(RpcTestBase):
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def setUp(self):
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self._port_set = set()
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master_endpoint = f"127.0.0.1:{self._find_free_port()}"
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dist.rpc.init_rpc(worker_name(0), 0, 1, master_endpoint)
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print("Single Process RPC setUp...")
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def tearDown(self):
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dist.rpc.shutdown()
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print("Single Process RPC tearDown...")
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def test_sync_rpc_paddle_add(self):
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a = np.random.random((10, 100))
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b = np.random.random((10, 100))
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res = np.add(a, b)
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args = (a, b)
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out = dist.rpc.rpc_sync(worker_name(0), paddle_add, args=args)
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np.testing.assert_allclose(out, res, rtol=1e-05)
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def test_async_rpc_paddle_add(self):
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a = np.random.random((10, 100))
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b = np.random.random((10, 100))
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res = np.add(a, b)
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args = (a, b)
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out = dist.rpc.rpc_async(worker_name(0), paddle_add, args=args).wait()
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np.testing.assert_allclose(out, res, rtol=1e-05)
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def test_get_worker_info(self):
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info = dist.rpc.get_worker_info(worker_name(0))
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self.assertEqual(info.name, worker_name(0))
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self.assertEqual(info.rank, 0)
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def test_get_all_worker_infos(self):
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infos = dist.rpc.get_all_worker_infos()
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info = infos[0]
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self.assertEqual(info.name, worker_name(0))
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self.assertEqual(info.rank, 0)
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def test_get_current_worker_info(self):
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info = dist.rpc.get_current_worker_info()
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self.assertEqual(info.name, worker_name(0))
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self.assertEqual(info.rank, 0)
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class RpcLaunchTest(RpcLaunchTestBase):
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def test_sync_rpc_paddle_add1(self):
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nnodes = 2
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nproc_per_node = 1
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pwd, _ = os.path.split(os.path.realpath(__file__))
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model_file = os.path.join(pwd, "rpc_launch_sync_add.py")
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a, b = self.create_data(nnodes, nproc_per_node)
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res = np.add(a, b)
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out = self.launch_rpc(nnodes, nproc_per_node, model_file)
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np.testing.assert_allclose(out, res, rtol=1e-05)
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def test_sync_rpc_paddle_add2(self):
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nnodes = 2
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nproc_per_node = 2
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pwd, _ = os.path.split(os.path.realpath(__file__))
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model_file = os.path.join(pwd, "rpc_launch_sync_add.py")
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a, b = self.create_data(nnodes, nproc_per_node)
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res = np.add(a, b)
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out = self.launch_rpc(nnodes, nproc_per_node, model_file)
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np.testing.assert_allclose(out, res, rtol=1e-05)
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if __name__ == "__main__":
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unittest.main()
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