ipex-llm/python/llm/test/benchmark/concat_csv.py
Yuwen Hu 81ed65fbe7 [LLM] Add qwen1.5-7B in iGPU perf (#10127)
* Add qwen1.5 test config yaml with transformers 4.37.0

* Update for yaml file
2024-02-07 22:31:20 +08:00

43 lines
1.5 KiB
Python

#
# 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 concat CSVs
import os
import sys
import argparse
import pandas as pd
def main():
parser = argparse.ArgumentParser(description="concat .csv files")
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()
merged_df = pd.concat([pd.read_csv(file, index_col=0) for file in csv_files], ignore_index=True)
merged_df.reset_index(drop=True, inplace=True)
merged_csv = csv_files[0].replace("_test1", "").replace("_test2", "").replace("_test3", "")
merged_df.to_csv(merged_csv)
if __name__ == "__main__":
sys.exit(main())