chore: import upstream snapshot with attribution

test/legacy_test/test_spawn_and_init_parallel_env.py

@@ -0,0 +1,108 @@
+#   Copyright (c) 2020 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 multiprocessing
+import os
+import unittest
+
+from op_test import get_device, is_custom_device
+
+import paddle
+import paddle.distributed as dist
+from paddle.base import core
+from paddle.distributed.spawn import (
+    _get_default_nprocs,
+    _get_subprocess_env_list,
+    _options_valid_check,
+)
+
+# NOTE(chenweihang): Coverage CI is currently not able to count python3
+# unittest, so the unittests here covers some cases that will only be
+# executed in the python3 sub-process.
+
+
+@unittest.skipIf(
+    not (core.is_compiled_with_cuda() or is_custom_device()),
+    "core is not compiled with CUDA",
+)
+class TestInitParallelEnv(unittest.TestCase):
+    def test_check_env_failed(self):
+        os.environ['FLAGS_selected_gpus'] = '0'
+        os.environ['PADDLE_TRAINER_ID'] = '0'
+        # os.environ['PADDLE_CURRENT_ENDPOINT'] = '127.0.0.1:6170'
+        os.environ['PADDLE_TRAINERS_NUM'] = '2'
+        with self.assertRaises(ValueError):
+            dist.init_parallel_env()
+
+    def test_init_parallel_env_break(self):
+        from paddle.distributed import parallel_helper
+
+        os.environ['FLAGS_selected_gpus'] = '0'
+        os.environ['PADDLE_TRAINER_ID'] = '0'
+        os.environ['PADDLE_CURRENT_ENDPOINT'] = '127.0.0.1:6170'
+        os.environ['PADDLE_TRAINERS_NUM'] = '1'
+        os.environ['PADDLE_TRAINER_ENDPOINTS'] = '127.0.0.1:6170'
+        # coverage success branch
+        dist.init_parallel_env()
+        self.assertFalse(parallel_helper._is_parallel_ctx_initialized())
+
+
+@unittest.skipIf(
+    not (core.is_compiled_with_cuda() or is_custom_device()),
+    "core is not compiled with CUDA",
+)
+class TestSpawnAssistMethod(unittest.TestCase):
+    def test_nprocs_greater_than_device_num_error(self):
+        with self.assertRaises(RuntimeError):
+            _get_subprocess_env_list(nprocs=100, options={})
+
+    def test_selected_devices_error(self):
+        with self.assertRaises(ValueError):
+            options = {}
+            options['selected_devices'] = "100,101"
+            _get_subprocess_env_list(nprocs=2, options=options)
+
+    def test_get_correct_env(self):
+        options = {}
+        options['print_config'] = True
+        env_dict = _get_subprocess_env_list(nprocs=1, options=options)[0]
+        self.assertEqual(env_dict['PADDLE_TRAINER_ID'], '0')
+        self.assertEqual(env_dict['PADDLE_TRAINERS_NUM'], '1')
+
+    def test_nprocs_not_equal_to_selected_devices(self):
+        with self.assertRaises(ValueError):
+            options = {}
+            options['selected_devices'] = "100,101,102"
+            _get_subprocess_env_list(nprocs=2, options=options)
+
+    def test_options_valid_check(self):
+        options = {}
+        options['selected_devices'] = "100,101,102"
+        _options_valid_check(options)
+
+        with self.assertRaises(ValueError):
+            options['error'] = "error"
+            _options_valid_check(options)
+
+    def test_get_default_nprocs(self):
+        paddle.set_device('cpu')
+        nprocs = _get_default_nprocs()
+        self.assertEqual(nprocs, multiprocessing.cpu_count())
+
+        paddle.set_device(get_device())
+        nprocs = _get_default_nprocs()
+        self.assertEqual(nprocs, core.get_cuda_device_count())
+
+
+if __name__ == "__main__":
+    unittest.main()