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-rw-r--r--Tools/performance_tests/run_automated.py9
1 files changed, 6 insertions, 3 deletions
diff --git a/Tools/performance_tests/run_automated.py b/Tools/performance_tests/run_automated.py
index f154c1308..dca038c6c 100644
--- a/Tools/performance_tests/run_automated.py
+++ b/Tools/performance_tests/run_automated.py
@@ -1,9 +1,10 @@
#!/usr/common/software/python/2.7-anaconda-4.4/bin/python
-import os, sys, shutil, datetime
+import os, sys, shutil, datetime, git
import argparse, re, time, copy
import pandas as pd
-from functions_perftest import *
+from functions_perftest import store_git_hash, get_file_content, \
+ run_batch_nnode, extract_dataframe
# typical use: python run_automated.py --n_node_list='1,8,16,32' --automated
# Assume warpx, picsar, amrex and perf_logs repos ar in the same directory and
@@ -225,6 +226,7 @@ def process_analysis():
batch_string += '#SBATCH -o read_output.txt\n'
batch_string += '#SBATCH --mail-type=end\n'
batch_string += '#SBATCH --account=m2852\n'
+ batch_string += 'module load h5py-parallel\n'
batch_string += 'python ' + __file__ + ' --compiler=' + \
args.compiler + ' --architecture=' + args.architecture + \
' --mode=read' + \
@@ -303,7 +305,8 @@ for n_node in n_node_list:
# Load file perf_database_file if exists, and
# append with results from this scan
if os.path.exists(perf_database_file):
- df_base = pd.read_hdf(perf_database_file, 'all_data')
+ df_base = pd.read_hdf(perf_database_file, 'all_data', format='table')
+ # df_base = pd.read_hdf(perf_database_file, 'all_data')
updated_df = df_base.append(df_newline, ignore_index=True)
else:
updated_df = df_newline