chore: import upstream snapshot with attribution

test/collective/fleet/test_parallel_dygraph_tensor_parallel.py

@@ -0,0 +1,52 @@
+# Copyright (c) 2021 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 unittest
+
+from legacy_test.test_parallel_dygraph_dataparallel import (
+    TestMultipleAccelerators,
+)
+
+from paddle.framework import core
+
+
+class TestHybridParallel(TestMultipleAccelerators):
+    def test_hybrid_parallel_mp_random(self):
+        self.run_mnist_2accelerators('hybrid_parallel_mp_random.py')
+
+    def test_hybrid_parallel_mp_model_with_sequence_parallel(self):
+        self.run_mnist_2accelerators(
+            'hybrid_parallel_mp_model_with_sequence_parallel.py'
+        )
+
+    def test_hybrid_parallel_mp_amp(self):
+        self.run_mnist_2accelerators('hybrid_parallel_mp_amp.py')
+
+    def test_hybrid_parallel_mp_fp16(self):
+        self.run_mnist_2accelerators('hybrid_parallel_mp_fp16.py')
+
+    def test_hybrid_parallel_mp_bf16(self):
+        # XPU will use its own fast_paddle lib for bf16 training, therefore skip ordinary ut here.
+        if not core.is_compiled_with_xpu():
+            self.run_mnist_2accelerators('hybrid_parallel_mp_bf16.py')
+
+    def test_hybrid_parallel_mp_clip_grad(self):
+        self.run_mnist_2accelerators('hybrid_parallel_mp_clip_grad.py')
+
+    def test_hybrid_parallel_mp_broadcast_obj(self):
+        self.run_mnist_2accelerators('hybrid_parallel_mp_broadcast_obj.py')
+
+
+if __name__ == "__main__":
+    unittest.main()