update unittest for reduce_prod op on xpu. test=kunlun (#39671)

* update unittest for reduce_prod op on xpu. test=kunlun

* update unittest for reduce_prod op on xpu. test=kunlun

* bugfix: use dtype instead of float32. test=kunlun

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

-#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#   Copyright (c) 2022 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.
@@ -18,138 +18,129 @@ import unittest
 import numpy as np
 import sys
 sys.path.append("..")
-from op_test_xpu import OpTest, XPUOpTest
-from op_test import skip_check_grad_ci
-import paddle
-import paddle.fluid.core as core
-import paddle.fluid as fluid
-from paddle.fluid import compiler, Program, program_guard
-from paddle.fluid.framework import convert_np_dtype_to_dtype_
-
-
-class TestXPUReduceProdOp(XPUOpTest):
-    def setUp(self):
-        self.init_op_type()
-        self.initTestCase()
-        self.use_xpu = True
-        self.use_mkldnn = False
-        self.attrs = {
-            'dim': self.axis,
-            'keep_dim': self.keep_dim,
-            'reduce_all': self.reduce_all
-        }
-        self.inputs = {'X': np.random.random(self.shape).astype("float32")}
-        if self.attrs['reduce_all']:
-            self.outputs = {'Out': self.inputs['X'].prod()}
-        else:
-            self.outputs = {
-                'Out': self.inputs['X'].prod(
-                    axis=self.axis, keepdims=self.attrs['keep_dim'])
-            }
-
-    def test_check_output(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_output_with_place(place)
-
-    def test_check_grad(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_grad_with_place(place, ['X'], 'Out')
-
-    def init_op_type(self):
-        self.op_type = "reduce_prod"
-        self.use_mkldnn = False
-        self.keep_dim = False
-        self.reduce_all = False
-
-    def initTestCase(self):
-        self.shape = (5, 6, 10)
-        self.axis = (0, )
-
-
-class TestProdOp5D(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (1, 2, 5, 6, 10)
-        self.axis = (0, )
-
-
-class TestProdOp6D(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (1, 1, 2, 5, 6, 10)
-        self.axis = (0, )
-
-
-class TestProdOp8D(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (1, 3, 1, 2, 1, 4, 3, 10)
-        self.axis = (0, 3)
-
-
-class Test1DReduce(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = 120
-        self.axis = (0, )
-
-
-class Test2DReduce0(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (20, 10)
-        self.axis = (0, )
-
 
-class Test2DReduce1(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (20, 10)
-        self.axis = (1, )
-
-
-class Test3DReduce0(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (5, 6, 7)
-        self.axis = (1, )
-
-
-class Test3DReduce1(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (5, 6, 7)
-        self.axis = (2, )
-
-
-class Test3DReduce2(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (5, 6, 7)
-        self.axis = (-2, )
-
-
-class Test3DReduce3(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (5, 6, 7)
-        self.axis = (1, 2)
-
-
-class TestKeepDimReduce(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (5, 6, 10)
-        self.axis = (1, )
-        self.keep_dim = True
-
-
-class TestKeepDim8DReduce(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (2, 5, 3, 2, 2, 3, 4, 2)
-        self.axis = (3, 4, 5)
-        self.keep_dim = True
-
-
-class TestReduceAll(TestXPUReduceProdOp):
-    def initTestCase(self):
-        self.shape = (5, 6, 2, 10)
-        self.axis = (0, )
-        self.reduce_all = True
+import paddle
 
+from op_test import OpTest
+from op_test_xpu import XPUOpTest
+from xpu.get_test_cover_info import create_test_class, get_xpu_op_support_types, XPUOpTestWrapper
+
+paddle.enable_static()
+
+
+class XPUTestReduceProdOP(XPUOpTestWrapper):
+    def __init__(self):
+        self.op_name = 'reduce_prod'
+        self.use_dynamic_create_class = False
+
+    class TestXPUReduceProdOp(XPUOpTest):
+        def setUp(self):
+            self.place = paddle.XPUPlace(0)
+            self.init_dtype()
+            self.op_type = 'reduce_prod'
+            self.use_mkldnn = False
+            self.keep_dim = False
+            self.reduce_all = False
+            self.initTestCase()
+            self.attrs = {
+                'dim': self.axis,
+                'keep_dim': self.keep_dim,
+                'reduce_all': self.reduce_all
+            }
+            self.inputs = {'X': np.random.random(self.shape).astype(self.dtype)}
+            if self.attrs['reduce_all']:
+                self.outputs = {'Out': self.inputs['X'].prod()}
+            else:
+                self.outputs = {
+                    'Out': self.inputs['X'].prod(
+                        axis=self.axis, keepdims=self.attrs['keep_dim'])
+                }
+
+        def initTestCase(self):
+            self.shape = (5, 6, 10)
+            self.axis = (0, )
+
+        def init_dtype(self):
+            self.dtype = self.in_type
+
+        def test_check_output(self):
+            self.check_output_with_place(self.place)
+
+        def test_check_grad(self):
+            self.check_grad_with_place(self.place, ['X'], 'Out')
+
+    class TestProdOp5D(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (1, 2, 5, 6, 10)
+            self.axis = (0, )
+
+    class TestProdOp6D(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (1, 1, 2, 5, 6, 10)
+            self.axis = (0, )
+
+    class TestProdOp8D(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (1, 3, 1, 2, 1, 4, 3, 10)
+            self.axis = (0, 3)
+
+    class Test1DReduce(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = 120
+            self.axis = (0, )
+
+    class Test2DReduce0(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (20, 10)
+            self.axis = (0, )
+
+    class Test2DReduce1(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (20, 10)
+            self.axis = (1, )
+
+    class Test3DReduce0(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (5, 6, 7)
+            self.axis = (1, )
+
+    class Test3DReduce1(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (5, 6, 7)
+            self.axis = (2, )
+
+    class Test3DReduce2(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (5, 6, 7)
+            self.axis = (-2, )
+
+    class Test3DReduce3(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (5, 6, 7)
+            self.axis = (1, 2)
+
+    class TestKeepDimReduce(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (5, 6, 10)
+            self.axis = (1, )
+            self.keep_dim = True
+
+    class TestKeepDim8DReduce(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (2, 5, 3, 2, 2, 3, 4, 2)
+            self.axis = (3, 4, 5)
+            self.keep_dim = True
+
+    class TestReduceAll(TestXPUReduceProdOp):
+        def initTestCase(self):
+            self.shape = (5, 6, 2, 10)
+            self.axis = (0, )
+            self.reduce_all = True
+
+
+support_types = get_xpu_op_support_types('reduce_prod')
+for stype in support_types:
+    create_test_class(globals(), XPUTestReduceProdOP, stype)
 
 if __name__ == '__main__':
     unittest.main()