From 96491e43b7dad85ff9a52e4336dd06ec8fc1b522 Mon Sep 17 00:00:00 2001
From: guofei <52460041+gfwm2013@users.noreply.github.com>
Date: Thu, 23 Apr 2020 15:48:58 +0800
Subject: [PATCH] Repair unittest: test_dyn_rnn (#24031)

Repair unittest: test_dyn_rnn
---
 python/paddle/fluid/tests/unittests/test_dyn_rnn.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/python/paddle/fluid/tests/unittests/test_dyn_rnn.py b/python/paddle/fluid/tests/unittests/test_dyn_rnn.py
index 78f4669f7a..84fee8ace3 100644
--- a/python/paddle/fluid/tests/unittests/test_dyn_rnn.py
+++ b/python/paddle/fluid/tests/unittests/test_dyn_rnn.py
@@ -27,6 +27,8 @@ from paddle.fluid.layers.control_flow import array_to_lod_tensor
 from paddle.fluid.layers.control_flow import shrink_memory
 from fake_reader import fake_imdb_reader
 
+numpy.random.seed(2020)
+
 
 class TestDynamicRNN(unittest.TestCase):
     def setUp(self):
@@ -144,6 +146,8 @@ class TestDynamicRNN(unittest.TestCase):
     def test_train_dynamic_rnn(self):
         main_program = fluid.Program()
         startup_program = fluid.Program()
+        main_program.random_seed = 10
+        startup_program.random_seed = 10
         with fluid.program_guard(main_program, startup_program):
             sentence = fluid.layers.data(
                 name='word', shape=[1], dtype='int64', lod_level=1)
@@ -196,6 +200,8 @@ class TestDynamicRNN(unittest.TestCase):
 
         main_program = fluid.Program()
         startup_program = fluid.Program()
+        main_program.random_seed = 10
+        startup_program.random_seed = 10
         with fluid.program_guard(main_program, startup_program):
             sentence = fluid.layers.data(
                 name='word', shape=[1], dtype='int64', lod_level=2)
@@ -249,6 +255,8 @@ class TestDynamicRNN(unittest.TestCase):
         hidden_size = 32
         main_program = fluid.Program()
         startup_program = fluid.Program()
+        main_program.random_seed = 10
+        startup_program.random_seed = 10
         with fluid.program_guard(main_program, startup_program):
             sentence = fluid.layers.data(
                 name='word', shape=[1], dtype='int64', lod_level=2)
-- 
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