add analyse demo

python/examples/pipeline/imdb_model_ensemble/analyse.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from paddle_serving_server.pipeline import Analyst
+import json
+import logging
+import sys
+
+logging.basicConfig(level=logging.INFO)
+
+if __name__ == "__main__":
+    if len(sys.argv) < 3:
+        print("Usage: python analyse.py <log_filename> <trace_filename>")
+        exit(1)
+    log_filename = sys.argv[1]
+    trace_filename = sys.argv[2]
+    analyst = Analyst(log_filename)
+    analyst.save_trace(trace_filename)
+    op_analyst = analyst.get_op_analyst()
+    op_concurrency = op_analyst.concurrency_analysis("analyse.yaml")
+    print(json.dumps(op_concurrency, indent=2, separators=(',', ':')))

python/examples/pipeline/imdb_model_ensemble/analyse.yaml

+bow:
+    midp: 0
+cnn:
+    midp: 1

python/examples/pipeline/imdb_model_ensemble/test_pipeline_client.py

@@ -20,18 +20,12 @@ client.connect(['127.0.0.1:18080'])
 words = 'i am very sad | 0'
 
 futures = []
-for i in range(1):
+for i in range(100):
     futures.append(
         client.predict(
-            feed_dict={"words": words},
-            fetch=["prediction"],
-            asyn=True,
-            profile=True))
+            feed_dict={"words": words}, fetch=["prediction"], asyn=True))
 
 for f in futures:
     res = f.result()
     if res["ecode"] != 0:
-        print(res)
-        exit(1)
-
-print(res)
+        print("predict failed: {}".format(res))