This contains my bachelors thesis and associated tex files, code snippets and maybe more. Topic: Data Movement in Heterogeneous Memories with Intel Data Streaming Accelerator
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

31 lines
949 B

import os
import json
import shutil
import copy
def process_json_file(file_path):
fr = open(file_path, 'r')
json_data = json.load(fr)
entries = json_data["count"]
for i in range(entries):
bs = json_data["list"][i]["task"]["batching"]["batch_size"]
del json_data["list"][i]["task"]["batching"]
del json_data["list"][i]["task"]["iterations"]
json_data["list"][i]["task"]["batch_size"] = bs
json_data["repetitions"] = 10
with open(file_path, 'w') as f:
json.dump(json_data, f, indent=2)
def process_files_in_folder(folder_path):
for filename in os.listdir(folder_path):
file_path = os.path.join(folder_path, filename)
if os.path.isfile(file_path) and filename.endswith('.json'):
process_json_file(file_path)
if __name__ == "__main__":
folder_path = "./benchmark-descriptors/peak-perf-smart-cpu/"
process_files_in_folder(folder_path)