add prim test for some ops (#51749)

* add tanh and cast prim test

* fix tanh test

* fix 0-d test

* add sqrt fp16 prim test

* add public_python_api in prim test

* fix test_squeeze2_op

* add tanh prim test

* add dropout prim test

* [Dy2St]Fix clone for test state problem

* clean code

* modify test_cumsum_op

* modify test_cumsum_op

* fix dropout test

* add dropout in cmake

* fix dropout test

---------

Co-authored-by: Aurelius84 <zhangliujie@baidu.com>

python/paddle/fluid/tests/unittests/CMakeLists.txt

@@ -1212,7 +1212,9 @@ set(TEST_CINN_OPS
     test_mean_op
     test_unsqueeze2_op
     test_meshgrid_op
-    test_gather_op)
+    test_gather_op
+    test_cast_op
+    test_dropout_op)
 
 foreach(TEST_CINN_OPS ${TEST_CINN_OPS})
   if(WITH_CINN)

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

@@ -469,9 +469,12 @@ def test_errors(self):
 class TestTanh(TestActivation, TestParameter):
     def setUp(self):
         self.op_type = "tanh"
+        self.prim_op_type = "prim"
         self.python_api = paddle.tanh
+        self.public_python_api = paddle.tanh
         self.init_dtype()
         self.init_shape()
+        self.if_enable_cinn()
 
         np.random.seed(1024)
         x = np.random.uniform(0.1, 1, self.shape).astype(self.dtype)
@@ -483,19 +486,25 @@ def setUp(self):
     def test_check_grad(self):
         if self.dtype == np.float16:
             return
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_prim=True)
 
     def init_dtype(self):
         # TODO If dtype is float64, the output (Out) has diff at CPUPlace
         # when using and not using inplace. Therefore, set dtype as float32
         # for now.
         self.dtype = np.float32
 
+    def if_enable_cinn(self):
+        pass
+
 
 class TestTanh_ZeroDim(TestTanh):
     def init_shape(self):
         self.shape = []
 
+    def if_enable_cinn(self):
+        self.enable_cinn = False
+
 
 class TestTanhAPI(unittest.TestCase):
     # test paddle.tanh, paddle.nn.tanh, paddle.nn.functional.tanh
@@ -601,7 +610,7 @@ def test_dygraph(self):
             self.assertEqual(z, z_expected)
 
 
-class TestAtan_ZeroDim(TestTanh):
+class TestAtan_ZeroDim(TestAtan):
     def init_shape(self):
         self.shape = []
 
@@ -3910,7 +3919,7 @@ def test_check_grad(self):
 create_test_act_fp16_class(TestTanhshrink)
 create_test_act_fp16_class(TestHardShrink)
 create_test_act_fp16_class(TestSoftshrink)
-create_test_act_fp16_class(TestSqrt)
+create_test_act_fp16_class(TestSqrt, check_prim=True)
 create_test_act_fp16_class(TestSqrtComp, check_prim=True)
 create_test_act_fp16_class(TestAbs, check_prim=True)
 create_test_act_fp16_class(TestCeil, grad_check=False)

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

@@ -28,33 +28,8 @@
 from paddle.fluid import Program, core, program_guard
 
 
-def convert_to_dtype_(dtype):
-    if dtype == 5:
-        return core.VarDesc.VarType.FP32
-    elif dtype == 6:
-        return core.VarDesc.VarType.FP64
-    elif dtype == 4:
-        return core.VarDesc.VarType.FP16
-    elif dtype == 2:
-        return core.VarDesc.VarType.INT32
-    elif dtype == 1:
-        return core.VarDesc.VarType.INT16
-    elif dtype == 3:
-        return core.VarDesc.VarType.INT64
-    elif dtype == 0:
-        return core.VarDesc.VarType.BOOL
-    elif dtype == 22:
-        return core.VarDesc.VarType.BF16
-    elif dtype == 20:
-        return core.VarDesc.VarType.UINT8
-    elif dtype == 21:
-        return core.VarDesc.VarType.INT8
-    elif dtype == np.complex64:
-        raise ValueError("Not supported dtype %s" % dtype)
-
-
 def cast_wrapper(x, out_dtype=None):
-    return paddle.tensor.cast(x, convert_to_dtype_(out_dtype))
+    return paddle.cast(x, paddle.dtype(out_dtype))
 
 
 class TestCastOpFp32ToFp64(OpTest):
@@ -67,13 +42,15 @@ def setUp(self):
             'out_dtype': int(core.VarDesc.VarType.FP64),
         }
         self.op_type = 'cast'
+        self.prim_op_type = "prim"
         self.python_api = cast_wrapper
+        self.public_python_api = cast_wrapper
 
     def test_check_output(self):
         self.check_output()
 
     def test_grad(self):
-        self.check_grad(['X'], ['Out'])
+        self.check_grad(['X'], ['Out'], check_prim=True)
 
 
 class TestCastOpFp16ToFp32(OpTest):
@@ -86,12 +63,16 @@ def setUp(self):
             'out_dtype': int(core.VarDesc.VarType.FP32),
         }
         self.op_type = 'cast'
-        self.__class__.no_need_check_grad = True
+        self.prim_op_type = "prim"
         self.python_api = cast_wrapper
+        self.public_python_api = cast_wrapper
 
     def test_check_output(self):
         self.check_output(atol=1e-3)
 
+    def test_grad(self):
+        self.check_grad(['X'], ['Out'], check_prim=True, only_check_prim=True)
+
 
 class TestCastOpFp32ToFp16(OpTest):
     def setUp(self):
@@ -103,12 +84,16 @@ def setUp(self):
             'out_dtype': int(core.VarDesc.VarType.FP16),
         }
         self.op_type = 'cast'
-        self.__class__.no_need_check_grad = True
+        self.prim_op_type = "prim"
         self.python_api = cast_wrapper
+        self.public_python_api = cast_wrapper
 
     def test_check_output(self):
         self.check_output(atol=1e-3)
 
+    def test_grad(self):
+        self.check_grad(['X'], ['Out'], check_prim=True, only_check_prim=True)
+
 
 class TestCastOpBf16ToFp32(OpTest):
     def setUp(self):
@@ -120,12 +105,17 @@ def setUp(self):
             'out_dtype': int(core.VarDesc.VarType.FP32),
         }
         self.op_type = 'cast'
-        self.__class__.no_need_check_grad = True
+        self.prim_op_type = "prim"
         self.python_api = cast_wrapper
+        self.public_python_api = cast_wrapper
+        self.enable_cinn = False
 
     def test_check_output(self):
         self.check_output()
 
+    def test_grad(self):
+        self.check_grad(['X'], ['Out'], check_prim=True, only_check_prim=True)
+
 
 class TestCastOpFp32ToBf16(OpTest):
     def setUp(self):
@@ -137,12 +127,17 @@ def setUp(self):
             'out_dtype': int(core.VarDesc.VarType.BF16),
         }
         self.op_type = 'cast'
-        self.__class__.no_need_check_grad = True
+        self.prim_op_type = "prim"
         self.python_api = cast_wrapper
+        self.public_python_api = cast_wrapper
+        self.enable_cinn = False
 
     def test_check_output(self):
         self.check_output()
 
+    def test_grad(self):
+        self.check_grad(['X'], ['Out'], check_prim=True, only_check_prim=True)
+
 
 class TestCastOpError(unittest.TestCase):
     def test_errors(self):