bug: fix mul unitest bug (#27852)

*test=kunlun

python/paddle/fluid/tests/unittests/xpu/test_mul_op_xpu.py

@@ -23,35 +23,9 @@ sys.path.append("..")
 from op_test import OpTest
 import paddle.fluid as fluid
 from paddle.fluid import Program, program_guard
+import time
 
-
-class TestMulOp(OpTest):
-    def setUp(self):
-        self.op_type = "mul"
-        self.dtype = np.float64
-        self.init_dtype_type()
-        self.inputs = {
-            'X': np.random.random((20, 5)).astype(self.dtype),
-            'Y': np.random.random((5, 21)).astype(self.dtype)
-        }
-        self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])}
-
-    def init_dtype_type(self):
-        pass
-
-    def test_check_output(self):
-        self.check_output()
-
-    def test_check_grad_normal(self):
-        self.check_grad(['X', 'Y'], 'Out')
-
-    def test_check_grad_ingore_x(self):
-        self.check_grad(
-            ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X"))
-
-    def test_check_grad_ingore_y(self):
-        self.check_grad(
-            ['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y'))
+paddle.enable_static()
 
 
 class TestMulOpError(unittest.TestCase):
@@ -69,11 +43,13 @@ class TestMulOpError(unittest.TestCase):
             self.assertRaises(TypeError, fluid.layers.mul, x3, x4)
 
 
-class TestMulOp2(OpTest):
+class TestXPUMulOp1(OpTest):
     def setUp(self):
         self.op_type = "mul"
-        self.dtype = np.float64
+        self.dtype = np.float32
+        self.use_xpu = True
         self.init_dtype_type()
+        np.random.seed((int)(time.time()))
         self.inputs = {
             'X': np.random.random((3, 4, 2, 9)).astype(self.dtype),
             'Y': np.random.random((3, 6, 1, 2, 3)).astype(self.dtype)
@@ -94,67 +70,53 @@ class TestMulOp2(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(['X', 'Y'], 'Out')
+        self.check_grad(['X', 'Y'], 'Out', max_relative_error=0.1)
 
     def test_check_grad_ingore_x(self):
         self.check_grad(
-            ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set('X'))
+            ['Y'], 'Out', max_relative_error=0.1, no_grad_set=set('X'))
 
     def test_check_grad_ignore_y(self):
         self.check_grad(
-            ['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y'))
+            ['X'], 'Out', max_relative_error=0.1, no_grad_set=set('Y'))
 
 
 @unittest.skipIf(not paddle.is_compiled_with_xpu(),
                  "core is not compiled with XPU")
-class TestXPUMulOp1(TestMulOp):
-    def init_dtype_type(self):
+class TestXPUMulOp2(OpTest):
+    def setUp(self):
+        self.op_type = "mul"
+        self.use_xpu = True
         self.dtype = np.float32
+        self.init_dtype_type()
+        np.random.seed((int)(time.time()))
+        self.inputs = {
+            'X': np.random.random((20, 5)).astype(self.dtype),
+            'Y': np.random.random((5, 21)).astype(self.dtype)
+        }
+        self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])}
 
-    def test_check_output(self):
-        place = paddle.XPUPlace(0)
-        self.check_output_with_place(place, atol=1e-1)
-
-    def test_check_grad_normal(self):
-        place = paddle.XPUPlace(0)
-        self.check_grad_with_place(
-            place, ['X', 'Y'], 'Out', max_relative_error=0.5)
-
-    def test_check_grad_ingore_x(self):
-        place = paddle.XPUPlace(0)
-        self.check_grad_with_place(
-            place, ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X"))
-
-    def test_check_grad_ingore_y(self):
-        place = paddle.XPUPlace(0)
-        self.check_grad_with_place(
-            place, ['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y'))
-
-
-@unittest.skipIf(not paddle.is_compiled_with_xpu(),
-                 "core is not compiled with XPU")
-class TestXPUMulOp2(TestMulOp2):
     def init_dtype_type(self):
         self.dtype = np.float32
 
     def test_check_output(self):
         place = paddle.XPUPlace(0)
-        self.check_output_with_place(place, atol=2e-1)
+        self.check_output_with_place(place, atol=0.01)
 
     def test_check_grad_normal(self):
         place = paddle.XPUPlace(0)
         self.check_grad_with_place(
-            place, ['X', 'Y'], 'Out', max_relative_error=0.9)
+            place, ['X', 'Y'], 'Out', max_relative_error=0.1)
 
     def test_check_grad_ingore_x(self):
         place = paddle.XPUPlace(0)
         self.check_grad_with_place(
-            place, ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X"))
+            place, ['Y'], 'Out', max_relative_error=0.1, no_grad_set=set("X"))
 
     def test_check_grad_ingore_y(self):
         place = paddle.XPUPlace(0)
         self.check_grad_with_place(
-            place, ['X'], 'Out', max_relative_error=0.9, no_grad_set=set('Y'))
+            place, ['X'], 'Out', max_relative_error=0.1, no_grad_set=set('Y'))
 
 
 if __name__ == "__main__":