chore: import upstream snapshot with attribution

test/legacy_test/parallel_dygraph_sparse_embedding_over_height.py

@@ -0,0 +1,59 @@
+# 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 sys
+
+sys.path.append("..")
+
+import paddle
+from legacy_test.parallel_dygraph_sparse_embedding import (
+    SimpleNet,
+    TestSparseEmbedding,
+    fake_sample_reader,
+)
+from legacy_test.test_dist_base import runtime_main
+
+# global configs
+# using small `vocab_size` to test rows number over height
+batch_size = 4
+batch_num = 200
+hidden_size = 10
+vocab_size = 10
+num_steps = 3
+init_scale = 0.1
+
+
+class TestSparseEmbeddingOverHeight(TestSparseEmbedding):
+    def get_model(self):
+        model = SimpleNet(
+            hidden_size=hidden_size,
+            vocab_size=vocab_size,
+            num_steps=num_steps,
+            init_scale=init_scale,
+            is_sparse=True,
+        )
+
+        train_reader = paddle.batch(
+            fake_sample_reader(), batch_size=batch_size, drop_last=True
+        )
+
+        optimizer = paddle.optimizer.SGD(
+            learning_rate=0.001, parameters=model.parameters()
+        )
+
+        return model, train_reader, optimizer
+
+
+if __name__ == "__main__":
+    runtime_main(TestSparseEmbeddingOverHeight)