add unittest of seed failed work (#20487) cherry-pick (#20485)

* add unittest  of seed failed work

* tadd unittest  of seed failed work

* fix the parameter seed failed to work

python/paddle/fluid/layers/nn.py

@@ -17236,7 +17236,7 @@ def uniform_random(shape, dtype='float32', min=-1.0, max=1.0, seed=0):
 
     helper = LayerHelper("uniform_random", **locals())
     inputs = dict()
-    attrs = dict()
+    attrs = {'seed': seed, 'min': min, 'max': max}
     if in_dygraph_mode():
         attrs = {'shape': shape}
     else:

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

@@ -243,6 +243,32 @@ class TestUniformRandomOp_attr_tensor_API(unittest.TestCase):
             outs = exe.run(train_program, fetch_list=[ret])
 
 
+class TestUniformRandomOp_API_seed(unittest.TestCase):
+    def test_attr_tensor_API(self):
+        startup_program = fluid.Program()
+        train_program = fluid.Program()
+        with fluid.program_guard(train_program, startup_program):
+            _min = 5
+            _max = 10
+            _seed = 10
+            ret = fluid.layers.nn.uniform_random(
+                [2, 3, 2], min=_min, max=_max, seed=_seed)
+            ret_2 = fluid.layers.nn.uniform_random(
+                [2, 3, 2], min=_min, max=_max, seed=_seed)
+            res = fluid.layers.equal(ret, ret_2)
+            place = fluid.CPUPlace()
+            if fluid.core.is_compiled_with_cuda():
+                place = fluid.CUDAPlace(0)
+            exe = fluid.Executor(place)
+
+            exe.run(startup_program)
+            ret_value, cmp_value = exe.run(train_program, fetch_list=[ret, res])
+            self.assertTrue(np.array(cmp_value).all())
+            for i in ret_value.flatten():
+                self.assertGreaterEqual(i, _min)
+                self.assertLess(i, _max)
+
+
 class TestUniformRandomOpSelectedRowsShapeTensor(unittest.TestCase):
     def get_places(self):
         places = [core.CPUPlace()]