bodo.allgatherv¶
bodo.allgatherv(data, warn_if_rep=True)
Gather data from all ranks and send to all, effectively replicating the data.
Arguments¶
data: data to gather.warn_if_rep: prints a BodoWarning if data to gather is replicated.
Example Usage¶
import bodo
import pandas as pd
@bodo.jit
def mean_power():
df = pd.read_parquet("data/cycling_dataset.pq")
return bodo.allgatherv(df)
df = mean_power()
print(df)
Save code in test_allgatherv.py file and run with mpiexec.
Output:
[stdout:0]
Unnamed: 0 altitude cadence ... power speed time
0 0 185.800003 51 ... 45 3.459 2016-10-20 22:01:26
1 1 185.800003 68 ... 0 3.710 2016-10-20 22:01:27
2 2 186.399994 38 ... 42 3.874 2016-10-20 22:01:28
3 3 186.800003 38 ... 5 4.135 2016-10-20 22:01:29
4 4 186.600006 38 ... 1 4.250 2016-10-20 22:01:30
... ... ... ... ... ... ... ...
3897 1127 178.199997 0 ... 0 3.497 2016-10-20 23:14:31
3898 1128 178.199997 0 ... 0 3.289 2016-10-20 23:14:32
3899 1129 178.199997 0 ... 0 2.969 2016-10-20 23:14:33
3900 1130 178.399994 0 ... 0 2.969 2016-10-20 23:14:34
3901 1131 178.399994 0 ... 0 2.853 2016-10-20 23:14:35
[3902 rows x 10 columns]
[stdout:1]
Unnamed: 0 altitude cadence ... power speed time
0 0 185.800003 51 ... 45 3.459 2016-10-20 22:01:26
1 1 185.800003 68 ... 0 3.710 2016-10-20 22:01:27
2 2 186.399994 38 ... 42 3.874 2016-10-20 22:01:28
3 3 186.800003 38 ... 5 4.135 2016-10-20 22:01:29
4 4 186.600006 38 ... 1 4.250 2016-10-20 22:01:30
... ... ... ... ... ... ... ...
3897 1127 178.199997 0 ... 0 3.497 2016-10-20 23:14:31
3898 1128 178.199997 0 ... 0 3.289 2016-10-20 23:14:32
3899 1129 178.199997 0 ... 0 2.969 2016-10-20 23:14:33
3900 1130 178.399994 0 ... 0 2.969 2016-10-20 23:14:34
3901 1131 178.399994 0 ... 0 2.853 2016-10-20 23:14:35
[3902 rows x 10 columns]
[stdout:2]
Unnamed: 0 altitude cadence ... power speed time
0 0 185.800003 51 ... 45 3.459 2016-10-20 22:01:26
1 1 185.800003 68 ... 0 3.710 2016-10-20 22:01:27
2 2 186.399994 38 ... 42 3.874 2016-10-20 22:01:28
3 3 186.800003 38 ... 5 4.135 2016-10-20 22:01:29
4 4 186.600006 38 ... 1 4.250 2016-10-20 22:01:30
... ... ... ... ... ... ... ...
3897 1127 178.199997 0 ... 0 3.497 2016-10-20 23:14:31
3898 1128 178.199997 0 ... 0 3.289 2016-10-20 23:14:32
3899 1129 178.199997 0 ... 0 2.969 2016-10-20 23:14:33
3900 1130 178.399994 0 ... 0 2.969 2016-10-20 23:14:34
3901 1131 178.399994 0 ... 0 2.853 2016-10-20 23:14:35
[3902 rows x 10 columns]
[stdout:3]
Unnamed: 0 altitude cadence ... power speed time
0 0 185.800003 51 ... 45 3.459 2016-10-20 22:01:26
1 1 185.800003 68 ... 0 3.710 2016-10-20 22:01:27
2 2 186.399994 38 ... 42 3.874 2016-10-20 22:01:28
3 3 186.800003 38 ... 5 4.135 2016-10-20 22:01:29
4 4 186.600006 38 ... 1 4.250 2016-10-20 22:01:30
... ... ... ... ... ... ... ...
3897 1127 178.199997 0 ... 0 3.497 2016-10-20 23:14:31
3898 1128 178.199997 0 ... 0 3.289 2016-10-20 23:14:32
3899 1129 178.199997 0 ... 0 2.969 2016-10-20 23:14:33
3900 1130 178.399994 0 ... 0 2.969 2016-10-20 23:14:34
3901 1131 178.399994 0 ... 0 2.853 2016-10-20 23:14:35
[3902 rows x 10 columns]