LLM: check the final csv results for arc perf test (#9684)

* LLM: check the final csv results for arc perf test

* delete useless python script

* change threshold

* revert the llm_performance_tests.yml

.github/workflows/llm_performance_tests.yml

@@ -98,6 +98,7 @@ jobs:
           python -m pip install pandas==1.5.3
           python csv_to_html.py -f $CSV_SAVE_PATH
           cd ../../dev/benchmark/all-in-one/
+          python ../../../test/benchmark/check_results.py -n 48
           if [ ${{ github.event.schedule}} ]; then
             curl -T ./*.csv ${LLM_FTP_URL}/llm/nightly_perf/gpu/
           fi

python/llm/test/benchmark/check_results.py

@@ -0,0 +1,45 @@
+#
+# Copyright 2016 The BigDL Authors.
+#
+# 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.
+#
+
+# Python program to check if the number of lines in html meets expectation
+
+import os
+import sys
+import argparse
+import pandas as pd
+
+def main():
+    parser = argparse.ArgumentParser(description="check if the number of lines in html meets expectation")
+    parser.add_argument("-n", "--expected_lines", type=int, dest="expected_lines",
+                        help="the number of expected html lines", default=0)
+    parser.add_argument("-f", "--folder_path", type=str, dest="folder_path",
+                        help="The directory which stores the .csv files", default="./")
+    args = parser.parse_args()
+
+    csv_files = []
+    for file_name in os.listdir(args.folder_path):
+        file_path = os.path.join(args.folder_path, file_name)
+        if os.path.isfile(file_path) and file_name.endswith(".csv"):
+            csv_files.append(file_path)
+    csv_files.sort()
+    
+    number_of_expected_lines=args.expected_lines
+    num_rows = len(pd.read_csv(csv_files[0], index_col=0))
+    if num_rows!=number_of_expected_lines:
+        raise ValueError("The number of arc perf test results does not match the expected value. Please check carefully.")
+
+if __name__ == "__main__":
+    sys.exit(main())