fix: yaml.load with argu Loader=yaml.FullLoader to adapt to pyyamlv6.0

python/examples/pipeline/PaddleClas/DarkNet53/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/HRNet_W18_C/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/MobileNetV1/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/MobileNetV2/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/MobileNetV3_large_x1_0/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/ResNeXt101_vd_64x4d/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/ResNet50_vd/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/ResNet50_vd_FPGM/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/ResNet50_vd_KL/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/ResNet50_vd_PACT/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/ResNet_V2_50/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleClas/ShuffleNetV2_x1_0/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/PaddleDetection/faster_rcnn/benchmark.py

@@ -33,7 +33,7 @@ def cv2_to_base64(image):
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -46,7 +46,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 30}
     if device == "gpu":

python/examples/pipeline/PaddleDetection/ppyolo_mbv3/benchmark.py

@@ -33,7 +33,7 @@ def cv2_to_base64(image):
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -46,7 +46,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 30}
     if device == "gpu":

python/examples/pipeline/PaddleDetection/yolov3/benchmark.py

@@ -33,7 +33,7 @@ def cv2_to_base64(image):
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -46,7 +46,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device, gpu_id):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 30}
     if device == "gpu":

python/examples/pipeline/bert/benchmark.py

@@ -54,7 +54,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -67,7 +67,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/ocr/benchmark.py

@@ -28,7 +28,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def parse_benchmark(filein, fileout):
     with open(filein, "r") as fin:
-        res = yaml.load(fin)
+        res = yaml.load(fin, yaml.FullLoader)
         del_list = []
         for key in res["DAG"].keys():
             if "call" in key:
@@ -41,7 +41,7 @@ def parse_benchmark(filein, fileout):
 
 def gen_yml(device):
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 10}
     if device == "gpu":

python/examples/pipeline/simple_web_service/benchmark.py

@@ -27,7 +27,7 @@ from paddle_serving_client.utils import benchmark_args, show_latency
 
 def gen_yml():
     fin = open("config.yml", "r")
-    config = yaml.load(fin)
+    config = yaml.load(fin, yaml.FullLoader)
     fin.close()
     config["dag"]["tracer"] = {"interval_s": 5}
     with open("config2.yml", "w") as fout:

python/paddle_serving_server/parse_profile.py

@@ -96,7 +96,7 @@ if __name__ == "__main__":
     args = parse_args()
     benchmark_cfg_filename = args.benchmark_cfg
     f = open(benchmark_cfg_filename, 'r')
-    benchmark_config = yaml.load(f)
+    benchmark_config = yaml.load(f, yaml.FullLoader)
     f.close()
     benchmark_log_filename = args.benchmark_log
     f = open(benchmark_log_filename, 'r')

python/pipeline/analyse.py

@@ -274,7 +274,7 @@ class OpAnalyst(object):
         """
         import yaml
         with open(op_config_yaml) as f:
-            op_config = yaml.load(f)
+            op_config = yaml.load(f, yaml.FullLoader)
 
         # check that each model is deployed on a different card
         card_set = set()

python/pipeline/pipeline_server.py

@@ -341,7 +341,7 @@ class ServerYamlConfChecker(object):
                              " or yml_dict can be selected as the parameter.")
         if yml_file is not None:
             with io.open(yml_file, encoding='utf-8') as f:
-                conf = yaml.load(f.read())
+                conf = yaml.load(f.read(), yaml.FullLoader)
         elif yml_dict is not None:
             conf = yml_dict
         else:

python/requirements.txt

@@ -7,7 +7,7 @@ protobuf>=3.12.2
 grpcio-tools>=1.28.1
 grpcio>=1.28.1
 func-timeout>=4.3.5
-pyyaml>=1.3.0, <6.0
+pyyaml>=5.1
 flask>=1.1.2
 click==7.1.2
 itsdangerous==1.1.0

python/requirements_mac.txt

@@ -6,7 +6,7 @@ google>=2.0.3
 opencv-python==4.2.0.32
 protobuf>=3.12.2
 func-timeout>=4.3.5
-pyyaml>=1.3.0, <6.0
+pyyaml>=5.1
 flask>=1.1.2
 click==7.1.2
 itsdangerous==1.1.0