From 849fbc7327935cfbe43f85744e71db515efa760d Mon Sep 17 00:00:00 2001
From: minqiyang <minqiyang@baidu.com>
Date: Tue, 6 Nov 2018 23:23:33 +0800
Subject: [PATCH] Add unittest

test=develop
---
 .../unittests/test_fused_emb_seq_pool_op.py   | 51 +++++++++++++++++++
 1 file changed, 51 insertions(+)
 create mode 100644 python/paddle/fluid/tests/unittests/test_fused_emb_seq_pool_op.py

diff --git a/python/paddle/fluid/tests/unittests/test_fused_emb_seq_pool_op.py b/python/paddle/fluid/tests/unittests/test_fused_emb_seq_pool_op.py
new file mode 100644
index 00000000000..584e309befc
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/test_fused_emb_seq_pool_op.py
@@ -0,0 +1,51 @@
+#   Copyright (c) 2018 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.
+
+from __future__ import print_function
+
+import unittest
+import numpy as np
+from op_test import OpTest
+import paddle.fluid.core as core
+import paddle.fluid as fluid
+from paddle.fluid.op import Operator
+import paddle.compat as cpt
+
+
+class TestFusedEmbeddingSeqPoolOp(OpTest):
+    def setUp(self):
+        self.op_type = "fused_embedding_seq_pool"
+        self.emb_size = 2
+        table = np.random.random((17, self.emb_size)).astype("float32")
+        ids = np.array([[[4], [3]], [[4], [3]], [[2], [1]],
+                        [[16], [1]]]).astype("int64")
+        merged_ids = np.array([4, 2, 16]).astype("int64")
+        ids_expand = np.expand_dims(ids, axis=1)
+        self.lod = [[3, 1]]
+        self.attrs = {'is_sparse': True}
+        self.inputs = {'W': table, 'Ids': (ids_expand, self.lod)}
+        self.outputs = {
+            'Out': np.reshape(
+                np.array([
+                    table[[4, 3]] + table[[4, 3]] + table[[2, 1]],
+                    table[[16, 1]]
+                ]), [len(self.lod[0]), 2 * self.emb_size])
+        }
+
+    def test_check_output(self):
+        self.check_output()
+
+
+if __name__ == "__main__":
+    unittest.main()
-- 
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