Yj/eager op test part 1 (#49877)

* update tril unbind ops for eager tests

* add eager op test

* reset unbind

* lint

* lint

* rm eager checker

* copyright 2018->2023

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

@@ -17,7 +17,7 @@ import unittest
 import gradient_checker
 import numpy as np
 from decorator_helper import prog_scope
-from op_test import OpTest
+from eager_op_test import OpTest
 
 import paddle
 import paddle.fluid as fluid
@@ -28,6 +28,7 @@ from paddle.fluid import Program, core, program_guard
 class TestTileOpRank1(OpTest):
     def setUp(self):
         self.op_type = "tile"
+        self.python_api = paddle.tile
         self.init_data()
 
         self.inputs = {'X': np.random.random(self.ori_shape).astype("float64")}
@@ -105,6 +106,7 @@ class TestTileOpRank4(TestTileOpRank1):
 class TestTileOpRank1_tensor_attr(OpTest):
     def setUp(self):
         self.op_type = "tile"
+        self.python_api = paddle.tile
         self.init_data()
         repeat_times_tensor = []
         for index, ele in enumerate(self.repeat_times):
@@ -150,6 +152,7 @@ class TestTileOpRank2_attr_tensor(TestTileOpRank1_tensor_attr):
 class TestTileOpRank1_tensor(OpTest):
     def setUp(self):
         self.op_type = "tile"
+        self.python_api = paddle.tile
         self.init_data()
 
         self.inputs = {
@@ -181,6 +184,7 @@ class TestTileOpRank2_tensor(TestTileOpRank1_tensor):
 class TestTileOpInteger(OpTest):
     def setUp(self):
         self.op_type = "tile"
+        self.python_api = paddle.tile
         self.inputs = {
             'X': np.random.randint(10, size=(4, 4, 5)).astype("int32")
         }
@@ -196,6 +200,7 @@ class TestTileOpInteger(OpTest):
 class TestTileOpBoolean(OpTest):
     def setUp(self):
         self.op_type = "tile"
+        self.python_api = paddle.tile
         self.inputs = {'X': np.random.randint(2, size=(2, 4, 5)).astype("bool")}
         self.attrs = {'repeat_times': [2, 1, 4]}
         output = np.tile(self.inputs['X'], (2, 1, 4))
@@ -209,6 +214,7 @@ class TestTileOpBoolean(OpTest):
 class TestTileOpInt64_t(OpTest):
     def setUp(self):
         self.op_type = "tile"
+        self.python_api = paddle.tile
         self.inputs = {
             'X': np.random.randint(10, size=(2, 4, 5)).astype("int64")
         }

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

@@ -15,7 +15,7 @@
 import unittest
 
 import numpy as np
-from op_test import OpTest
+from eager_op_test import OpTest
 
 import paddle
 import paddle.fluid as fluid
@@ -24,6 +24,7 @@ import paddle.fluid as fluid
 class TestTrilIndicesOp(OpTest):
     def setUp(self):
         self.op_type = "tril_indices"
+        self.python_api = paddle.tril_indices
         self.inputs = {}
         self.init_config()
         self.outputs = {'out': self.target}

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

@@ -15,7 +15,7 @@
 import unittest
 
 import numpy as np
-from op_test import OpTest
+from eager_op_test import OpTest
 
 import paddle
 import paddle.fluid as fluid
@@ -24,6 +24,7 @@ import paddle.fluid as fluid
 class TestTriuIndicesOp(OpTest):
     def setUp(self):
         self.op_type = "triu_indices"
+        self.python_api = paddle.triu_indices
         self.inputs = {}
         self.init_config()
         self.outputs = {'out': self.target}

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

@@ -15,7 +15,7 @@
 import unittest
 
 import numpy as np
-from op_test import OpTest
+from eager_op_test import OpTest
 
 import paddle
 import paddle.fluid as fluid
@@ -123,6 +123,7 @@ class TestUnfoldOp(OpTest):
 
     def setUp(self):
         self.op_type = 'unfold'
+        self.python_api = paddle.nn.functional.unfold
         self.set_data()
 
     def test_check_output(self):
@@ -139,6 +140,7 @@ class TestUnfoldAPI(TestUnfoldOp):
 
     def setUp(self):
         self.op_type = 'unfold'
+        self.python_api = paddle.nn.functional.unfold
         self.set_data()
         self.places = [fluid.CPUPlace()]
         if core.is_compiled_with_cuda():