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generator_adios2.py
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generator_adios2.py
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# -*- coding: UTF-8 -*-
from mpi4py import MPI
import numpy as np
import time
import adios2
from os import path
import json
import argparse
from generator.writers import writer_dataman, writer_bpfile
from generator.data_loader import data_loader
"""
Generates batches of ECEI data.
"""
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
size = comm.Get_size()
parser = argparse.ArgumentParser(description="Send KSTAR data using ADIOS2")
parser.add_argument('--config', type=str, help='Lists the configuration file', default='config.json')
args = parser.parse_args()
with open(args.config, "r") as df:
cfg = json.load(df)
datapath = cfg["datapath"]
shotnr = cfg["shotnr"]
# Enforce 1:1 mapping of channels and tasks
assert(len(cfg["channel_ranges"]) == size)
# Channels this process is reading
my_channel_range = cfg["channel_ranges"][rank]
gen_id = 100000 * rank + my_channel_range[0]
print("Rank: {0:d}".format(rank), ", channel_range: ", my_channel_range, ", id = ", gen_id)
# Hard-code the total number of data points
data_pts = int(5e6)
# Hard-code number of data points per data packet
data_per_batch = int(1e1)
# Calculate the number of required data batches we send over the channel
num_batches = data_pts // data_per_batch
# Get a data_loader
dl = data_loader(path.join(datapath, "ECEI.018431.LFS.h5"),
channel_range=my_channel_range,
batch_size=1000)
# data_arr is a list
_data_arr = dl.get()
data_arr = np.array(_data_arr)
data_arr = data_arr.astype(np.float64)
_data_arr = 0.0
writer = writer_bpfile(shotnr, gen_id)
writer.DefineVariable(data_arr)
writer.Open()
for i in range(10):
if(rank == 0):
print("Sending: {0:d} / {1:d}".format(i, 10))
writer.put_data(data_arr)
dl.get()
time.sleep(0.1)
#print("Finished")