[CINN] Enable CINN unittest on atan2, tile, top_k, where (#54280)

* Enable check_cinn on atan2, tile, top_k and where

* Update cmakelists in legacy_test

* Reformat code

* Enable check_cinn on op take_along_axis legacy test

* Enable check_cinn on pool2d

* Remove check_cinn=False

* Try fix tile test error

* Rename enable_cinn to test_cinn

* Refactor test_tile_op

* Replace all enable_cinn to check_cinn

* Revert pool2d test timeout

* Remove check_prim and use enable_cinn

test/legacy_test/CMakeLists.txt

@@ -1191,12 +1191,17 @@ set(TEST_CINN_OPS
     test_roll_op
     test_sum_op
     test_elementwise_min_op
+    test_atan2_op
+    test_top_k_op
+    test_where_op
+    test_take_along_axis_op
     test_arg_min_max_op
     test_reverse_op
     test_flip
     test_triangular_solve_op
     test_scatter_nd_op
     test_strided_slice_op
+    test_pool2d_op
     test_instance_norm_op
     test_cumsum_op
     test_pad_op

test/legacy_test/test_atan2_op.py

@@ -34,6 +34,7 @@ class TestAtan2(OpTest):
     def setUp(self):
         self.op_type = "atan2"
         self.python_api = paddle.atan2
+        self.check_cinn = True
         self.init_dtype()
 
         x1 = np.random.uniform(-1, -0.1, [15, 17]).astype(self.dtype)
@@ -44,10 +45,10 @@ def setUp(self):
         self.outputs = {'Out': out}
 
     def test_check_grad(self):
-        self.check_grad(['X1', 'X2'], 'Out')
+        self.check_grad(['X1', 'X2'], 'Out', check_cinn=self.check_cinn)
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_cinn=self.check_cinn)
 
     def init_dtype(self):
         self.dtype = np.float64
@@ -67,6 +68,7 @@ def test_check_grad(self):
                     self.inputs['X2'],
                     1 / self.inputs['X1'].size,
                 ),
+                check_cinn=self.check_cinn,
             )
 
 
@@ -139,6 +141,7 @@ def setUp(self):
         self.op_type = 'atan2'
         self.python_api = paddle.atan2
         self.dtype = np.uint16
+        self.check_cinn = True
         x1 = np.random.uniform(-1, -0.1, [15, 17]).astype('float32')
         x2 = np.random.uniform(0.1, 1, [15, 17]).astype('float32')
         out = np.arctan2(x1, x2)
@@ -151,11 +154,13 @@ def setUp(self):
 
     def test_check_output(self):
         place = core.CUDAPlace(0)
-        self.check_output_with_place(place)
+        self.check_output_with_place(place, check_cinn=self.check_cinn)
 
     def test_check_grad(self):
         place = core.CUDAPlace(0)
-        self.check_grad_with_place(place, ['X1', 'X2'], 'Out')
+        self.check_grad_with_place(
+            place, ['X1', 'X2'], 'Out', check_cinn=self.check_cinn
+        )
 
 
 class TestAtan2Error(unittest.TestCase):

test/legacy_test/test_pool2d_op.py

@@ -421,7 +421,10 @@ def test_check_output(self):
         if self.has_cudnn():
             place = core.CUDAPlace(0)
             self.check_output_with_place(
-                place, atol=1e-5, check_dygraph=(not self.use_mkldnn)
+                place,
+                atol=1e-5,
+                check_dygraph=(not self.use_mkldnn),
+                check_cinn=True,
             )
         else:
             self.check_output(check_dygraph=(not self.use_mkldnn))
@@ -437,6 +440,7 @@ def test_check_grad(self):
                 {'X'},
                 'Out',
                 check_dygraph=(not self.use_mkldnn),
+                check_cinn=True,
             )
         elif self.pool_type != "max":
             self.check_grad(
@@ -586,6 +590,7 @@ def test_check_output(self):
                     self.check_output_with_place(
                         place,
                         check_dygraph=(not self.use_mkldnn),
+                        check_cinn=True,
                     )
 
         def test_check_grad(self):
@@ -601,6 +606,7 @@ def test_check_grad(self):
                     {'X'},
                     'Out',
                     check_dygraph=(not self.use_mkldnn),
+                    check_cinn=True,
                 )
 
     cls_name = "{}_{}".format(parent.__name__, "CUDNNFp16Op")
@@ -625,6 +631,7 @@ def test_check_output(self):
                     self.check_output_with_place(
                         place,
                         check_dygraph=(not self.use_mkldnn),
+                        check_cinn=True,
                     )
 
         def test_check_grad(self):
@@ -640,6 +647,7 @@ def test_check_grad(self):
                     {'X'},
                     'Out',
                     check_dygraph=(not self.use_mkldnn),
+                    check_cinn=True,
                 )
 
     cls_name = "{}_{}".format(parent.__name__, "Fp16Op")
@@ -662,6 +670,7 @@ def test_check_output(self):
                 self.check_output_with_place(
                     place,
                     check_dygraph=(not self.use_mkldnn),
+                    check_cinn=True,
                 )
 
         def test_check_grad(self):
@@ -672,6 +681,7 @@ def test_check_grad(self):
                     {'X'},
                     'Out',
                     check_dygraph=(not self.use_mkldnn),
+                    check_cinn=True,
                 )
 
     cls_name = "{}_{}".format(parent.__name__, "Bf16Op")
@@ -1001,10 +1011,12 @@ def test_check_grad(self):
         if self.has_cudnn() and self.pool_type == "max":
             place = core.CUDAPlace(0)
             self.check_grad_with_place(
-                place, {'X'}, 'Out', max_relative_error=1.00
+                place, {'X'}, 'Out', max_relative_error=1.00, check_cinn=True
             )
         elif self.pool_type == "max":
-            self.check_grad({'X'}, 'Out', max_relative_error=1.00)
+            self.check_grad(
+                {'X'}, 'Out', max_relative_error=1.00, check_cinn=True
+            )
 
 
 class TestCase5_channel_last_Max(TestCase5_Max):

test/legacy_test/test_take_along_axis_op.py

@@ -28,6 +28,7 @@ def setUp(self):
         self.init_data()
         self.op_type = "take_along_axis"
         self.python_api = paddle.tensor.take_along_axis
+        self.check_cinn = True
         self.xnp = np.random.random(self.x_shape).astype(self.x_type)
         self.target = np.take_along_axis(self.xnp, self.index, self.axis)
         broadcast_shape_list = list(self.x_shape)
@@ -42,10 +43,10 @@ def setUp(self):
         self.outputs = {'Result': self.target}
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_cinn=self.check_cinn)
 
     def test_check_grad(self):
-        self.check_grad(['Input'], 'Result')
+        self.check_grad(['Input'], 'Result', check_cinn=self.check_cinn)
 
     def init_data(self):
         self.x_type = "float64"
@@ -81,6 +82,7 @@ def setUp(self):
         self.init_data()
         self.op_type = "take_along_axis"
         self.python_api = paddle.tensor.take_along_axis
+        self.check_cinn = True
         self.xnp = np.random.random(self.x_shape).astype(self.x_type)
         self.target = np.take_along_axis(self.xnp, self.index, self.axis)
         broadcast_shape_list = list(self.x_shape)
@@ -99,10 +101,12 @@ def setUp(self):
         self.place = core.CUDAPlace(0)
 
     def test_check_output(self):
-        self.check_output_with_place(self.place)
+        self.check_output_with_place(self.place, check_cinn=self.check_cinn)
 
     def test_check_grad(self):
-        self.check_grad_with_place(self.place, ['Input'], 'Result')
+        self.check_grad_with_place(
+            self.place, ['Input'], 'Result', check_cinn=self.check_cinn
+        )
 
     def init_data(self):
         self.dtype = np.uint16

test/legacy_test/test_tile_op.py

@@ -40,14 +40,14 @@ def setUp(self):
         self.outputs = {'Out': output}
 
     def if_enable_cinn(self):
-        pass
+        self.check_cinn = True
 
     def init_data(self):
         self.ori_shape = [100]
         self.repeat_times = [2]
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_cinn=self.check_cinn)
 
     def test_check_grad(self):
         self.check_grad(['X'], 'Out', check_prim=True)
@@ -59,6 +59,7 @@ def init_data(self):
         self.repeat_times = []
 
     def if_enable_cinn(self):
+        self.check_cinn = False
         self.enable_cinn = False
 
 
@@ -68,6 +69,7 @@ def init_data(self):
         self.repeat_times = [2]
 
     def if_enable_cinn(self):
+        self.check_cinn = False
         self.enable_cinn = False
 
 
@@ -77,6 +79,7 @@ def init_data(self):
         self.repeat_times = [2, 3]
 
     def if_enable_cinn(self):
+        self.check_cinn = False
         self.enable_cinn = False
 
 
@@ -86,38 +89,57 @@ def init_data(self):
         self.ori_shape = [120]
         self.repeat_times = [2, 2]
 
+    def if_enable_cinn(self):
+        self.check_cinn = True
+
 
 class TestTileOpRank2(TestTileOpRank1):
     def init_data(self):
         self.ori_shape = [12, 14]
         self.repeat_times = [2, 3]
 
+    def if_enable_cinn(self):
+        self.check_cinn = True
+
 
 class TestTileOpRank3_Corner(TestTileOpRank1):
     def init_data(self):
         self.ori_shape = (2, 10, 5)
         self.repeat_times = (1, 1, 1)
 
+    def if_enable_cinn(self):
+        self.check_cinn = True
+
 
 class TestTileOpRank3_Corner2(TestTileOpRank1):
     def init_data(self):
         self.ori_shape = (2, 10, 5)
         self.repeat_times = (2, 2)
 
+    def if_enable_cinn(self):
+        self.check_cinn = True
+
 
 class TestTileOpRank3(TestTileOpRank1):
     def init_data(self):
         self.ori_shape = (2, 4, 15)
         self.repeat_times = (2, 1, 4)
 
+    def if_enable_cinn(self):
+        self.check_cinn = True
+
 
 class TestTileOpRank4(TestTileOpRank1):
     def init_data(self):
         self.ori_shape = (2, 4, 5, 7)
         self.repeat_times = (3, 2, 1, 2)
 
+    def if_enable_cinn(self):
+        self.check_cinn = True
+
 
 # Situation 2: repeat_times is a list (with tensor)
+# CINN not support repeat_times is a tensor now
 class TestTileOpRank1_tensor_attr(OpTest):
     def setUp(self):
         self.op_type = "tile"
@@ -164,6 +186,7 @@ def init_data(self):
 
 
 # Situation 3: repeat_times is a tensor
+# CINN not support repeat_times is a tensor now
 class TestTileOpRank1_tensor(OpTest):
     def setUp(self):
         self.op_type = "tile"
@@ -206,9 +229,13 @@ def setUp(self):
         self.attrs = {'repeat_times': [2, 1, 4]}
         output = np.tile(self.inputs['X'], (2, 1, 4))
         self.outputs = {'Out': output}
+        self.if_enable_cinn()
+
+    def if_enable_cinn(self):
+        self.check_cinn = True
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_cinn=self.check_cinn)
 
 
 class TestTileFP16OP(OpTest):
@@ -217,22 +244,25 @@ def setUp(self):
         self.dtype = np.float16
         self.python_api = paddle.tile
         self.prim_op_type = "prim"
-        self.enable_cinn = True
         self.public_python_api = paddle.tile
         self.init_data()
         x = np.random.uniform(10, size=self.ori_shape).astype(self.dtype)
         output = np.tile(x, self.repeat_times)
         self.inputs = {'X': x}
         self.attrs = {'repeat_times': self.repeat_times}
         self.outputs = {'Out': output}
+        self.if_enable_cinn()
+
+    def if_enable_cinn(self):
+        self.check_cinn = True
 
     def init_data(self):
         self.dtype = np.float16
         self.ori_shape = [100, 4, 5]
         self.repeat_times = [2, 1, 4]
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_cinn=self.check_cinn)
 
     def test_check_grad(self):
         self.check_grad(['X'], 'Out', check_prim=True)
@@ -256,10 +286,14 @@ def setUp(self):
         self.inputs = {'X': convert_float_to_uint16(x)}
         self.attrs = {'repeat_times': self.repeat_times}
         self.outputs = {'Out': convert_float_to_uint16(output)}
+        self.if_enable_cinn()
+
+    def if_enable_cinn(self):
+        self.check_cinn = True
 
     def test_check_output(self):
         place = core.CUDAPlace(0)
-        self.check_output_with_place(place)
+        self.check_output_with_place(place, check_cinn=self.check_cinn)
 
     def init_data(self):
         self.dtype = np.uint16
@@ -280,9 +314,13 @@ def setUp(self):
         self.attrs = {'repeat_times': [2, 1, 4]}
         output = np.tile(self.inputs['X'], (2, 1, 4))
         self.outputs = {'Out': output}
+        self.if_enable_cinn()
+
+    def if_enable_cinn(self):
+        self.check_cinn = True
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_cinn=self.check_cinn)
 
 
 # Situation 56: input x is Integer
@@ -296,9 +334,13 @@ def setUp(self):
         self.attrs = {'repeat_times': [2, 1, 4]}
         output = np.tile(self.inputs['X'], (2, 1, 4))
         self.outputs = {'Out': output}
+        self.if_enable_cinn()
+
+    def if_enable_cinn(self):
+        self.check_cinn = True
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_cinn=self.check_cinn)
 
 
 class TestTileError(unittest.TestCase):