Fix random seed for several unit tests (#44135)

* Fix test_functional_conv2d_transpose random seed

* Fix random seed and use np.testing

* Fix random seed for test_lu_unpack_op

* Fix test_autograd_functional_dynamic random seed

python/paddle/fluid/tests/unittests/autograd/test_autograd_functional_dynamic.py

@@ -676,4 +676,5 @@ class TestHessianBatchFirst(unittest.TestCase):
 
 
 if __name__ == "__main__":
+    np.random.seed(2022)
     unittest.main()

python/paddle/fluid/tests/unittests/test_functional_conv2d_transpose.py

@@ -39,6 +39,7 @@ class TestFunctionalConv2D(TestCase):
         self.groups = 1
         self.no_bias = False
         self.data_format = "NHWC"
+        np.random.seed(2022)
 
     def prepare(self):
         if isinstance(self.filter_shape, int):
@@ -188,6 +189,7 @@ class TestFunctionalConv2DError(TestCase):
         self.groups = 1
         self.no_bias = False
         self.data_format = "NHWC"
+        np.random.seed(2022)
 
     def test_exception(self):
         self.prepare()

python/paddle/fluid/tests/unittests/test_lu_unpack_op.py

@@ -190,6 +190,9 @@ class TestLU_UnpackOp3(TestLU_UnpackOp):
 
 class TestLU_UnpackAPI(unittest.TestCase):
 
+    def setUp(self):
+        np.random.seed(2022)
+
     def test_dygraph(self):
 
         def run_lu_unpack_dygraph(shape, dtype):

python/paddle/fluid/tests/unittests/test_variable.py

@@ -30,6 +30,9 @@ paddle.enable_static()
 
 class TestVariable(unittest.TestCase):
 
+    def setUp(self):
+        np.random.seed(2022)
+
     def test_np_dtype_convert(self):
         DT = core.VarDesc.VarType
         convert = convert_np_dtype_to_dtype_
@@ -486,6 +489,9 @@ class TestVariable(unittest.TestCase):
 
 class TestVariableSlice(unittest.TestCase):
 
+    def setUp(self):
+        np.random.seed(2022)
+
     def _test_item_none(self, place):
         data = np.random.rand(2, 3, 4).astype("float32")
         prog = paddle.static.Program()
@@ -545,6 +551,9 @@ class TestVariableSlice(unittest.TestCase):
 
 class TestListIndex(unittest.TestCase):
 
+    def setUp(self):
+        np.random.seed(2022)
+
     def numel(self, shape):
         return reduce(lambda x, y: x * y, shape)
 
@@ -723,10 +732,10 @@ class TestListIndex(unittest.TestCase):
             return
         getitem_pp = exe.run(prog, feed={x.name: array}, fetch_list=fetch_list)
 
-        print(getitem_pp)
-        self.assertTrue(np.array_equal(value_np, getitem_pp[0]),
-                        msg='\n numpy:{},\n paddle:{}'.format(
-                            value_np, getitem_pp[0]))
+        np.testing.assert_allclose(value_np,
+                                   getitem_pp[0],
+                                   rtol=1e-5,
+                                   atol=1e-8)
 
     def test_static_graph_getitem_bool_index(self):
         paddle.enable_static()
@@ -791,9 +800,7 @@ class TestListIndex(unittest.TestCase):
                              },
                              fetch_list=fetch_list)
 
-        self.assertTrue(np.allclose(array2, setitem_pp[0]),
-                        msg='\n numpy:{},\n paddle:{}'.format(
-                            array2, setitem_pp[0]))
+        np.testing.assert_allclose(array2, setitem_pp[0], rtol=1e-5, atol=1e-8)
 
     def test_static_graph_setitem_list_index(self):
         paddle.enable_static()