[cherry-pick] use the required instruction to determine if the environment...

 [cherry-pick] use the required instruction to determine if the environment fits the sample code's required.  (#32766) (#33451)

1 put a instruction # required: gpu(for example) in the sample code
2 this piece of code will only run in the GPU-equipped CI pipelines, and be omitted in other pipelines.
3 the CI pipelines can specify its capacity by shell environment variable SAMPLE_CODE_TEST_CAPACITY

2.1 文档改版方案

see #32766 for more infomation

tools/check_file_diff_approvals.sh

@@ -52,7 +52,7 @@ API_FILES=("CMakeLists.txt"
            "python/paddle/fluid/tests/unittests/white_list/op_threshold_white_list.py"
            "python/paddle/fluid/tests/unittests/white_list/check_op_sequence_batch_1_input_white_list.py"
            "python/paddle/fluid/tests/unittests/white_list/no_grad_set_white_list.py"
-           "tools/wlist.json"
+           "tools/print_signatures.py"
            "tools/sampcd_processor.py"
            "paddle/scripts/paddle_build.bat"
            "tools/windows/run_unittests.sh"
@@ -80,11 +80,10 @@ function add_failed(){
     echo_list="${echo_list[@]}$1"
 }
 
-function run_test_sampcd_processor() {
+function run_tools_test() {
     CUR_PWD=$(pwd)
     cd ${PADDLE_ROOT}/tools
-    python test_sampcd_processor.py
-    python test_print_signatures.py
+    python $1
     cd ${CUR_PWD}
 }
 
@@ -141,12 +140,12 @@ for API_FILE in ${API_FILES[*]}; do
       elif [ "${API_FILE}" == "python/paddle/fluid/tests/unittests/white_list/no_grad_set_white_list.py" ];then
           echo_line="You must have one RD (Shixiaowei02 (Recommend), luotao1 or phlrain) approval for the python/paddle/fluid/tests/unittests/white_list/no_grad_set_white_list.py, which manages the white list of no_grad_set without value in operators. For more information, please refer to[https://github.com/PaddlePaddle/Paddle/wiki/It's-recommend-to-set-no_grad_set-to-be-None].\n"
           check_approval 1 39303645 6836917 43953930
-      elif [ "${API_FILE}" == "tools/wlist.json" ];then
-          echo_line="You must have one TPM (jzhang533) approval for the api whitelist for the tools/wlist.json.\n"
-          check_approval 1 29231
       elif [ "${API_FILE}" == "tools/sampcd_processor.py" ];then
           echo_line="test_sampcd_processor.py will be executed for changed sampcd_processor.py.\n"
-          run_test_sampcd_processor
+          run_tools_test test_sampcd_processor.py
+      elif [ "${API_FILE}" == "tools/print_signatures.py" ];then
+          echo_line="test_print_signatures.py will be executed for changed print_signatures.py.\n"
+          run_tools_test test_print_signatures.py
       elif [ "${API_FILE}" == "python/paddle/distributed/fleet/__init__.py" ]; then
 	      echo_line="You must have (fuyinno4 (Recommend), raindrops2sea) approval for ${API_FILE} changes"
 	      check_approval 1 35824027 38231817

tools/test_sampcd_processor.py

@@ -20,15 +20,18 @@ import tempfile
 import shutil
 import sys
 import importlib
+import re
+import sampcd_processor
 from sampcd_processor import find_all
-from sampcd_processor import check_indent
 from sampcd_processor import get_api_md5
 from sampcd_processor import get_incrementapi
-from sampcd_processor import get_wlist
 from sampcd_processor import sampcd_extract_to_file
+from sampcd_processor import extract_code_blocks_from_docstr
 from sampcd_processor import execute_samplecode
-
-SAMPLECODE_TEMP_DIR = 'samplecode_temp'
+from sampcd_processor import find_last_future_line_end
+from sampcd_processor import insert_codes_into_codeblock
+from sampcd_processor import get_test_capacity
+from sampcd_processor import is_required_match
 
 
 class Test_find_all(unittest.TestCase):
@@ -43,27 +46,246 @@ class Test_find_all(unittest.TestCase):
                              find_all(' hello, world; hello paddle!', 'hello'))
 
 
-class Test_check_indent(unittest.TestCase):
-    def test_no_indent(self):
-        self.assertEqual(0, check_indent('hello paddle'))
+class Test_find_last_future_line_end(unittest.TestCase):
+    def test_no_instant(self):
+        samplecodes = """
+                print(10//3)
+        """
+        self.assertIsNone(find_last_future_line_end(samplecodes))
+
+    def test_1_instant(self):
+        samplecodes = """
+                from __future__ import print_function
+
+                print(10//3)
+        """
+        mo = re.search("print_function\n", samplecodes)
+        self.assertIsNotNone(mo)
+        self.assertGreaterEqual(
+            find_last_future_line_end(samplecodes), mo.end())
+
+    def test_2_instant(self):
+        samplecodes = """
+                from __future__ import print_function
+                from __future__ import division
+
+                print(10//3)
+        """
+        mo = re.search("division\n", samplecodes)
+        self.assertIsNotNone(mo)
+        self.assertGreaterEqual(
+            find_last_future_line_end(samplecodes), mo.end())
+
+
+class Test_extract_code_blocks_from_docstr(unittest.TestCase):
+    def test_no_samplecode(self):
+        docstr = """
+        placeholder
+        """
+        codeblocks = extract_code_blocks_from_docstr(docstr)
+        self.assertListEqual([], codeblocks)
+
+    def test_codeblock_before_examples_is_ignored(self):
+        docstr = """
+            .. code-block:: python
+
+                print(1+1)
+        Examples:
+        """
+        codeblocks = extract_code_blocks_from_docstr(docstr)
+        self.assertListEqual(codeblocks, [])
+
+    def test_1_samplecode(self):
+        docstr = """
+        Examples:
+            .. code-block:: python
+
+                print(1+1)
+        """
+        codeblocks = extract_code_blocks_from_docstr(docstr)
+        self.assertListEqual(codeblocks, [{
+            'codes': """print(1+1)""",
+            'name': None,
+            'id': 1,
+            'required': None,
+        }])
+
+    def test_2_samplecodes(self):
+        docstr = """
+        placeholder
+        Examples:
+            .. code-block:: python
+
+                print(1/0)
+
+            .. code-block:: python
+               :name: one_plus_one
+               :linenos:
+
+                # required: gpu
+                print(1+1)
+        """
+        codeblocks = extract_code_blocks_from_docstr(docstr)
+        self.assertListEqual(codeblocks, [{
+            'codes': """print(1/0)""",
+            'name': None,
+            'id': 1,
+            'required': None,
+        }, {
+            'codes': """# required: gpu
+print(1+1)""",
+            'name': 'one_plus_one',
+            'id': 2,
+            'required': 'gpu',
+        }])
+
+
+class Test_insert_codes_into_codeblock(unittest.TestCase):
+    def test_required_None(self):
+        codeblock = {
+            'codes': """print(1/0)""",
+            'name': None,
+            'id': 1,
+            'required': None,
+        }
+        self.assertEqual("""
+import os
+os.environ["CUDA_VISIBLE_DEVICES"] = ""
+print(1/0)
+print("not-specified's sample code (name:None, id:1) is executed successfully!")""",
+                         insert_codes_into_codeblock(codeblock))
+
+    def test_required_gpu(self):
+        codeblock = {
+            'codes': """# required: gpu
+print(1+1)""",
+            'name': None,
+            'id': 1,
+            'required': 'gpu',
+        }
+        self.assertEqual("""
+import os
+os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+# required: gpu
+print(1+1)
+print("not-specified's sample code (name:None, id:1) is executed successfully!")""",
+                         insert_codes_into_codeblock(codeblock))
+
+    def test_from_future(self):
+        codeblock = {
+            'codes': """
+from __future__ import print_function
+from __future__ import division
+print(10//3)""",
+            'name': 'future',
+            'id': 1,
+            'required': None,
+        }
+        self.assertEqual("""
+from __future__ import print_function
+from __future__ import division
+
+import os
+os.environ["CUDA_VISIBLE_DEVICES"] = ""
+print(10//3)
+print("not-specified's sample code (name:future, id:1) is executed successfully!")""",
+                         insert_codes_into_codeblock(codeblock))
+
+
+def clear_capacity():
+    sampcd_processor.SAMPLE_CODE_TEST_CAPACITY = set()
+    sampcd_processor.RUN_ON_DEVICE = 'cpu'
+    if sampcd_processor.ENV_KEY_TEST_CAPACITY in os.environ:
+        del os.environ[sampcd_processor.ENV_KEY_TEST_CAPACITY]
 
-    def test_indent_4_spaces(self):
-        self.assertEqual(4, check_indent('    hello paddle'))
 
-    def test_indent_1_tab(self):
-        self.assertEqual(4, check_indent("\thello paddle"))
+class Test_get_test_capacity(unittest.TestCase):
+    def setUp(self):
+        clear_capacity()
+        get_test_capacity()
+
+    def tearDown(self):
+        clear_capacity()
+        get_test_capacity()
+
+    def test_NoEnvVar(self):
+        clear_capacity()
+        get_test_capacity()
+        self.assertCountEqual(['cpu', ],
+                              sampcd_processor.SAMPLE_CODE_TEST_CAPACITY)
+
+    def test_NoEnvVar_RUN_ON_DEVICE_gpu(self):
+        clear_capacity()
+        sampcd_processor.RUN_ON_DEVICE = 'gpu'
+        get_test_capacity()
+        self.assertCountEqual(['cpu', 'gpu'],
+                              sampcd_processor.SAMPLE_CODE_TEST_CAPACITY)
+
+    def test_EnvVar_gpu(self):
+        clear_capacity()
+        os.environ[sampcd_processor.ENV_KEY_TEST_CAPACITY] = 'gpu'
+        get_test_capacity()
+        self.assertCountEqual(['cpu', 'gpu'],
+                              sampcd_processor.SAMPLE_CODE_TEST_CAPACITY)
+
+    def test_EnvVar_gpu_and_distributed(self):
+        clear_capacity()
+        os.environ[sampcd_processor.ENV_KEY_TEST_CAPACITY] = 'gpu,distributed'
+        get_test_capacity()
+        self.assertCountEqual(['cpu', 'gpu', 'distributed'],
+                              sampcd_processor.SAMPLE_CODE_TEST_CAPACITY)
+
+
+class Test_is_required_match(unittest.TestCase):
+    def setUp(self):
+        clear_capacity()
+
+    def tearDown(self):
+        clear_capacity()
+        get_test_capacity()
+
+    def test_alldefault(self):
+        clear_capacity()
+        get_test_capacity()
+        self.assertTrue(is_required_match(''))
+        self.assertTrue(is_required_match(None))
+        self.assertTrue(is_required_match('cpu'))
+        self.assertFalse(is_required_match('gpu'))
+        self.assertIsNone(is_required_match('skiptest'))
+        self.assertIsNone(is_required_match('skip'))
+        self.assertIsNone(is_required_match('cpu,skiptest'))
+
+    def test_gpu_equipped(self):
+        clear_capacity()
+        os.environ[sampcd_processor.ENV_KEY_TEST_CAPACITY] = 'gpu'
+        get_test_capacity()
+        self.assertTrue(is_required_match('cpu'))
+        self.assertTrue(is_required_match('gpu'))
+        self.assertTrue(is_required_match('gpu,cpu'))
+        self.assertIsNone(is_required_match('skiptest'))
+        self.assertFalse(is_required_match('distributed'))
+
+    def test_gpu_distributed_equipped(self):
+        clear_capacity()
+        os.environ[sampcd_processor.ENV_KEY_TEST_CAPACITY] = 'gpu,distributed'
+        get_test_capacity()
+        self.assertTrue(is_required_match('cpu'))
+        self.assertTrue(is_required_match('gpu'))
+        self.assertTrue(is_required_match('distributed'))
+        self.assertFalse(is_required_match('xpu'))
+        self.assertIsNone(is_required_match('skiptest'))
 
 
 class Test_execute_samplecode(unittest.TestCase):
     def setUp(self):
-        if not os.path.exists(SAMPLECODE_TEMP_DIR):
-            os.mkdir(SAMPLECODE_TEMP_DIR)
-        self.successSampleCodeFile = os.path.join(SAMPLECODE_TEMP_DIR,
-                                                  'samplecode_success.py')
+        if not os.path.exists(sampcd_processor.SAMPLECODE_TEMPDIR):
+            os.mkdir(sampcd_processor.SAMPLECODE_TEMPDIR)
+        self.successSampleCodeFile = os.path.join(
+            sampcd_processor.SAMPLECODE_TEMPDIR, 'samplecode_success.py')
         with open(self.successSampleCodeFile, 'w') as f:
             f.write('print(1+1)')
-        self.failedSampleCodeFile = os.path.join(SAMPLECODE_TEMP_DIR,
-                                                 'samplecode_failed.py')
+        self.failedSampleCodeFile = os.path.join(
+            sampcd_processor.SAMPLECODE_TEMPDIR, 'samplecode_failed.py')
         with open(self.failedSampleCodeFile, 'w') as f:
             f.write('print(1/0)')
 
@@ -72,37 +294,41 @@ class Test_execute_samplecode(unittest.TestCase):
         os.remove(self.failedSampleCodeFile)
 
     def test_run_success(self):
-        result, tfname, msg = execute_samplecode(self.successSampleCodeFile)
+        result, tfname, msg, exec_time = execute_samplecode(
+            self.successSampleCodeFile)
         self.assertTrue(result)
         self.assertEqual(self.successSampleCodeFile, tfname)
         self.assertIsNotNone(msg)
         self.assertLess(msg.find('skipped'), 0)
+        self.assertLess(exec_time, 10)
 
     def test_run_failed(self):
-        result, tfname, msg = execute_samplecode(self.failedSampleCodeFile)
+        result, tfname, msg, exec_time = execute_samplecode(
+            self.failedSampleCodeFile)
         self.assertFalse(result)
         self.assertEqual(self.failedSampleCodeFile, tfname)
         self.assertIsNotNone(msg)
         self.assertLess(msg.find('skipped'), 0)
+        self.assertLess(exec_time, 10)
 
-    def test_testcases_skipped(self):
-        ...
-        tfname = os.path.join(SAMPLECODE_TEMP_DIR, 'samplecode_skipped.py')
-        with open(tfname, 'w') as f:
-            f.write("# required: distributed\nprint(1/0)")
-        result, _, msg = execute_samplecode(tfname)
-        self.assertTrue(result)
-        self.assertGreaterEqual(msg.find('skipped'), 0)
-        os.remove(tfname)
+
+def clear_summary_info():
+    for k in sampcd_processor.SUMMARY_INFO.keys():
+        sampcd_processor.SUMMARY_INFO[k].clear()
 
 
 class Test_sampcd_extract_to_file(unittest.TestCase):
     def setUp(self):
-        if not os.path.exists(SAMPLECODE_TEMP_DIR):
-            os.mkdir(SAMPLECODE_TEMP_DIR)
+        if not os.path.exists(sampcd_processor.SAMPLECODE_TEMPDIR):
+            os.mkdir(sampcd_processor.SAMPLECODE_TEMPDIR)
+        clear_capacity()
+        os.environ[sampcd_processor.ENV_KEY_TEST_CAPACITY] = 'gpu,distributed'
+        get_test_capacity()
 
     def tearDown(self):
-        shutil.rmtree(SAMPLECODE_TEMP_DIR)
+        shutil.rmtree(sampcd_processor.SAMPLECODE_TEMPDIR)
+        clear_capacity()
+        get_test_capacity()
 
     def test_1_samplecode(self):
         comments = """
@@ -113,9 +339,10 @@ class Test_sampcd_extract_to_file(unittest.TestCase):
         """
         funcname = 'one_plus_one'
         sample_code_filenames = sampcd_extract_to_file(comments, funcname)
-        self.assertCountEqual(
-            [os.path.join(SAMPLECODE_TEMP_DIR, funcname + '_example.py')],
-            sample_code_filenames)
+        self.assertCountEqual([
+            os.path.join(sampcd_processor.SAMPLECODE_TEMPDIR,
+                         funcname + '_example.py')
+        ], sample_code_filenames)
 
     def test_no_samplecode(self):
         comments = """
@@ -140,10 +367,64 @@ class Test_sampcd_extract_to_file(unittest.TestCase):
         funcname = 'one_plus_one'
         sample_code_filenames = sampcd_extract_to_file(comments, funcname)
         self.assertCountEqual([
-            os.path.join(SAMPLECODE_TEMP_DIR, funcname + '_example_1.py'),
-            os.path.join(SAMPLECODE_TEMP_DIR, funcname + '_example_2.py')
+            os.path.join(sampcd_processor.SAMPLECODE_TEMPDIR,
+                         funcname + '_example_1.py'),
+            os.path.join(sampcd_processor.SAMPLECODE_TEMPDIR,
+                         funcname + '_example_2.py')
         ], sample_code_filenames)
 
+    def test_2_samplecodes_has_skipped(self):
+        comments = """
+        placeholder
+        Examples:
+            .. code-block:: python
+
+                # required: skiptest
+                print(1/0)
+
+            .. code-block:: python
+
+                print(1+1)
+
+            .. code-block:: python
+
+                # required: gpu
+                print(1//1)
+
+            .. code-block:: python
+
+                # required: xpu
+                print(1//1)
+
+            .. code-block:: python
+
+                # required: distributed
+                print(1//1)
+
+            .. code-block:: python
+
+                # required: gpu
+                print(1//1)
+        """
+        funcname = 'one_plus_one'
+        clear_summary_info()
+        clear_capacity()
+        get_test_capacity()
+
+        sample_code_filenames = sampcd_extract_to_file(comments, funcname)
+        self.assertCountEqual([
+            os.path.join(sampcd_processor.SAMPLECODE_TEMPDIR,
+                         funcname + '_example_2.py')
+        ], sample_code_filenames)
+        self.assertCountEqual(sampcd_processor.SUMMARY_INFO['skiptest'],
+                              [funcname + '-1'])
+        self.assertCountEqual(sampcd_processor.SUMMARY_INFO['gpu'],
+                              [funcname + '-3', funcname + '-6'])
+        self.assertCountEqual(sampcd_processor.SUMMARY_INFO['xpu'],
+                              [funcname + '-4'])
+        self.assertCountEqual(sampcd_processor.SUMMARY_INFO['distributed'],
+                              [funcname + '-5'])
+
 
 class Test_get_api_md5(unittest.TestCase):
     def setUp(self):
@@ -208,55 +489,6 @@ class Test_get_incrementapi(unittest.TestCase):
             ], lines)
 
 
-class Test_get_wlist(unittest.TestCase):
-    def setUp(self):
-        self.tmpDir = tempfile.mkdtemp()
-        self.wlist_filename = os.path.join(self.tmpDir, 'wlist.json')
-        with open(self.wlist_filename, 'w') as f:
-            f.write(r'''
-{
-    "wlist_dir":[
-        {
-            "name":"../python/paddle/fluid/contrib",
-            "annotation":""
-        },
-        {
-            "name":"../python/paddle/verison.py",
-            "annotation":""
-        }
-    ],
-    "wlist_api":[
-        {
-            "name":"xxxxx",
-            "annotation":"not a real api, just for example"
-        }
-    ],
-    "wlist_temp_api":[
-        "to_tensor",
-        "save_persistables@dygraph/checkpoint.py"
-    ],
-    "gpu_not_white":[
-        "deformable_conv"
-    ]
-}
-''')
-
-    def tearDown(self):
-        os.remove(self.wlist_filename)
-        shutil.rmtree(self.tmpDir)
-
-    def test_get_wlist(self):
-        wlist, wlist_file, gpu_not_white = get_wlist(self.wlist_filename)
-        self.assertCountEqual(
-            ["xxxxx", "to_tensor",
-             "save_persistables@dygraph/checkpoint.py"], wlist)
-        self.assertCountEqual([
-            "../python/paddle/fluid/contrib",
-            "../python/paddle/verison.py",
-        ], wlist_file)
-        self.assertCountEqual(["deformable_conv"], gpu_not_white)
-
-
 # https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/fluid/layers/ops.py
 # why? unabled to use the ast module. emmmmm
 

tools/wlist.json

-{
-    "wlist_dir":[
-        {
-            "name":"../python/paddle/fluid/contrib",
-            "annotation":""
-        },
-        {
-            "name":"../python/paddle/verison.py",
-            "annotation":""
-        },
-        {
-            "name":"../python/paddle/fluid/core_avx.py",
-            "annotation":""
-        },
-        {
-            "name":"../python/paddle/distributed",
-            "annotation":""
-        }
-    ],
-    "wlist_api":[
-        {
-            "name":"xxxxx",
-            "annotation":"not a real api, just for example"
-        },
-        {
-            "name":"squeeze_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"unsqueeze_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"reshape_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"flatten_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"scatter_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"elu_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"relu_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"softmax_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"tanh_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"ceil_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"floor_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"exp_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"reciprocal_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"round_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"sqrt_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"rsqrt_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"clip_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"scale_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"subtract_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        },
-        {
-            "name":"add_",
-            "annotation":"Inplace APIs don't need sample code. There is a special document introducing Inplace strategy"
-        }
-    ],
-    "wlist_temp_api":[
-        "to_tensor",
-        "LRScheduler",
-        "ReduceOnPlateau",
-        "append_LARS",
-        "BuildStrategy.debug_graphviz_path",
-        "BuildStrategy.enable_sequential_execution",
-        "BuildStrategy.fuse_elewise_add_act_ops",
-        "BuildStrategy.fuse_relu_depthwise_conv",
-        "BuildStrategy.gradient_scale_strategy",
-        "BuildStrategy.reduce_strategy",
-        "BuildStrategy.remove_unnecessary_lock",
-        "BuildStrategy.sync_batch_norm",
-        "DynamicRNN.step_input",
-        "DynamicRNN.static_input",
-        "DynamicRNN.block",
-        "DynamicRNN.update_memory",
-        "DynamicRNN.output",
-        "transpiler.DistributeTranspilerConfig",
-        "transpiler.DistributeTranspilerConfig.slice_var_up",
-        "transpiler.DistributeTranspilerConfig.split_method",
-        "transpiler.DistributeTranspilerConfig.min_block_size",
-        "DistributeTranspilerConfig.slice_var_up",
-        "DistributeTranspilerConfig.split_method",
-        "ModelAverage.apply",
-        "ModelAverage.restore",
-        "DistributeTranspilerConfig",
-        "DistributeTranspilerConfig.min_block_size",
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-        "load",
-        "Accuracy.update",
-        "ChunkEvaluator.update",
-        "ExecutionStrategy.num_iteration_per_drop_scope",
-        "ExecutionStrategy.num_threads",
-        "CompiledProgram._with_inference_optimize",
-        "CompositeMetric.add_metric",
-        "CompositeMetric.update",
-        "CompositeMetric.eval",
-        "DetectionMAP.get_map_var",
-        "MetricBase",
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-        "MetricBase.get_config",
-        "MetricBase.update",
-        "MetricBase.eval",
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-        "EditDistance.update",
-        "EditDistance.eval",
-        "ExponentialMovingAverage.apply",
-        "ExponentialMovingAverage.restore",
-        "ExponentialMovingAverage.update",
-        "StaticRNN.step",
-        "StaticRNN.step_input",
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-        "StaticRNN.update_memory",
-        "DetectionMAP.reset",
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-        "cuda_places",
-        "CUDAPinnedPlace",
-        "CUDAPlace",
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-        "Compressor",
-        "Compressor.config",
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-        "HDFSClient.upload",
-        "HDFSClient.download",
-        "HDFSClient.is_exist",
-        "HDFSClient.is_dir",
-        "HDFSClient.delete",
-        "HDFSClient.rename",
-        "HDFSClient.makedirs",
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-        "HDFSClient.lsr",
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-        "search_pyramid_hash",
-        "convert_dist_to_sparse_program",
-        "load_persistables_for_increment",
-        "load_persistables_for_inference",
-        "xmap_readers",
-        "Metric.reset",
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-        "Auc.accumulate",
-        "Auc.name",
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-        "Callback.set_params",
-        "Callback.on_train_begin",
-        "Callback.on_train_end",
-        "Callback.on_eval_begin",
-        "Callback.on_eval_end",
-        "Callback.on_test_begin",
-        "Callback.on_test_end",
-        "Callback.on_epoch_begin",
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-        "Callback.on_train_batch_begin",
-        "Callback.on_train_batch_end",
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-        "Model.prepare",
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-        "SimpleRNNCell.forward",
-        "LSTMCell",
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-        "GRUCell",
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-        "LSTM",
-        "RNN",
-        "BiRNN",
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-        "DecodeHelper",
-        "DecodeHelper.initialize",
-        "DecodeHelper.sample",
-        "DecodeHelper.next_inputs",
-        "TrainingHelper.initialize",
-        "TrainingHelper.sample",
-        "TrainingHelper.next_inputs",
-        "GreedyEmbeddingHelper.initialize",
-        "GreedyEmbeddingHelper.sample",
-        "GreedyEmbeddingHelper.next_inputs",
-        "LayerList.append",
-        "HDFSClient",
-        "InitState",
-        "TracedLayer",
-        "SampleEmbeddingHelper.sample",
-        "BasicDecoder.initialize",
-        "BasicDecoder.step",
-        "ParameterList.append",
-        "GreedyEmbeddingHelper",
-        "SampleEmbeddingHelper",
-        "BasicDecoder",
-        "lstm",
-        "partial_sum",
-        "StateCell",
-        "StateCell.compute_state",
-        "TrainingDecoder",
-        "TrainingDecoder.step_input",
-        "TrainingDecoder.static_input",
-        "TrainingDecoder.output",
-        "BeamSearchDecoder",
-        "GradClipByValue",
-        "GradClipByNorm",
-        "Variable.detach",
-        "Variable.numpy",
-        "Variable.set_value",
-        "Variable.gradient",
-        "BeamSearchDecoder.decode",
-        "BeamSearchDecoder.read_array",
-        "CompiledProgram",
-        "CompiledProgram.with_data_parallel",
-        "append_backward",
-        "guard",
-        "to_variable",
-        "op_freq_statistic",
-        "save_dygraph",
-        "load_dygraph",
-        "ParallelExecutor",
-        "ParallelExecutor.run",
-        "ParallelExecutor.drop_local_exe_scopes",
-        "GradClipByGlobalNorm",
-        "extend_with_decoupled_weight_decay",
-        "switch",
-        "Normal",
-        "memory_usage",
-        "decorate",
-        "PiecewiseDecay",
-        "InverseTimeDecay",
-        "PolynomialDecay",
-        "NoamDecay",
-        "start_profiler",
-        "profiler",
-        "tree_conv",
-        "multiclass_nms2",
-        "DataFeedDesc",
-        "Conv2D",
-        "Conv3D",
-        "Conv3DTranspose",
-        "Embedding",
-        "NCE",
-        "PRelu",
-        "BilinearTensorProduct",
-        "GroupNorm",
-        "SpectralNorm",
-        "TreeConv",
-        "prroi_pool",
-        "ChunkEvaluator",
-        "EditDistance",
-        "ErrorClipByValue",
-        "Program.clone",
-        "cuda_pinned_places",
-        "DataFeeder",
-        "elementwise_floordiv",
-        "Layer",
-        "Layer.create_parameter",
-        "Layer.create_variable",
-        "Layer.sublayers",
-        "Layer.add_parameter",
-        "Layer.add_sublayer",
-        "Layer.parameters",
-        "Tracer",
-        "Layer.full_name",
-        "InMemoryDataset",
-        "layer_norm",
-        "bipartite_match",
-        "double_buffer",
-        "cumsum",
-        "thresholded_relu",
-        "group_norm",
-        "random_crop",
-        "row_conv",
-        "hard_shrink",
-        "ssd_loss",
-        "retinanet_target_assign",
-        "InMemoryDataset.global_shuffle",
-        "InMemoryDataset.get_memory_data_size",
-        "DetectionMAP",
-        "hash",
-        "InMemoryDataset.set_queue_num",
-        "LayerNorm",
-        "Preprocessor",
-        "chunk_eval",
-        "GRUUnit",
-        "ExponentialMovingAverage",
-        "QueueDataset.global_shuffle",
-        "NumpyArrayInitializer",
-        "create_py_reader_by_data",
-        "InMemoryDataset.local_shuffle",
-        "InMemoryDataset.get_shuffle_data_size",
-        "size",
-        "edit_distance",
-        "nce",
-        "BilinearInitializer",
-        "NaturalExpDecay",
-        "noam_decay",
-        "retinanet_detection_output",
-        "Pool2D",
-        "PipelineOptimizer",
-        "generate_mask_labels",
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-        "InMemoryDataset.load_into_memory",
-        "ExponentialDecay",
-        "BatchNorm",
-        "deformable_conv",
-        "InMemoryDataset.preload_into_memory",
-        "py_reader",
-        "linear_lr_warmup",
-        "InMemoryDataset.wait_preload_done",
-        "CosineDecay",
-        "roi_perspective_transform",
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-        "ones_like",
-        "LambOptimizer",
-        "InMemoryDataset.release_memory",
-        "Conv2DTranspose",
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-        "save_persistables@dygraph/checkpoint.py",
-        "load_persistables@dygraph/checkpoint.py",
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-        "ChunkEvaluator.eval",
-        "NCE.forward",
-        "elementwise_div",
-        "BilinearTensorProduct.forward",
-        "NoamDecay.step",
-        "elementwise_min",
-        "PiecewiseDecay.step",
-        "Conv3DTranspose.forward",
-        "elementwise_add",
-        "IfElse.output",
-        "IfElse.true_block",
-        "InverseTimeDecay.step",
-        "PolynomialDecay.step",
-        "Precision.eval",
-        "enabled",
-        "elementwise_max",
-        "stop_gperf_profiler",
-        "IfElse.false_block",
-        "WeightedAverage.add",
-        "Auc.trapezoid_area",
-        "elementwise_mul",
-        "GroupNorm.forward",
-        "SpectralNorm.forward",
-        "elementwise_sub",
-        "Switch.case",
-        "IfElse.input",
-        "prepare_context",
-        "PRelu.forward",
-        "Recall.update",
-        "start_gperf_profiler",
-        "TreeConv.forward",
-        "Conv2D.forward",
-        "Switch.default",
-        "elementwise_mod",
-        "Precision.update",
-        "WeightedAverage.eval",
-        "Conv3D.forward",
-        "Embedding.forward",
-        "Recall.eval",
-        "FC.forward",
-        "While.block",
-        "DGCMomentumOptimizer",
-        "ParallelEnv",
-        "spawn",
-        "init_parallel_env",
-        "DataParallel",
-        "DataParallel.scale_loss",
-        "DataParallel.apply_collective_grads",
-        "BasicLSTMCell.forward",
-        "BasicGRUCell.forward",
-        "RNN.forward",
-        "StackedRNNCell.forward",
-        "StackedLSTMCell.forward",
-        "LSTM.forward",
-        "BidirectionalRNN.forward",
-        "BidirectionalLSTM.forward",
-        "StackedGRUCell.forward",
-        "GRU.forward",
-        "BidirectionalGRU.forward",
-        "DynamicDecode.forward",
-        "Conv1dPoolLayer.forward",
-        "CNNEncoder.forward",
-        "TransformerCell.forward",
-        "TransformerBeamSearchDecoder.step",
-        "MultiHeadAttention.forward",
-        "MultiHeadAttention.cal_kv",
-        "FFN.forward",
-        "TransformerEncoderLayer.forward",
-        "TransformerEncoder.forward",
-        "TransformerDecoderLayer.forward",
-        "TransformerDecoder.forward",
-        "TransformerDecoder.prepare_static_cache",
-        "TransformerDecoder.prepare_incremental_cache",
-        "LinearChainCRF.forward",
-        "CRFDecoding.forward",
-        "SequenceTagging.forward",
-        "XPUPlace",
-        "is_compiled_with_xpu",
-        "xpu_places"
-    ],
-    "gpu_not_white":[
-        "deformable_conv",
-        "cuda_places",
-        "CUDAPinnedPlace",
-        "CUDAPlace",
-        "cuda_profiler",
-        "DGCMomentumOptimizer"
-    ]
-}