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#!/usr/bin/env python
import os, sys
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-m', '--model', nargs='+', required=True,
help="Models to average")
parser.add_argument('-o', '--output', required=True,
help="Output path")
args = parser.parse_args()
import numpy as np;
average = dict()
n = len(args.models)
for filename in args.models:
print "Loading", filename
with open(filename, "rb") as mfile:
m = np.load(mfile)
for k in m:
if k != "history_errs":
if k not in average:
average[k] = m[k] / n
elif average[k].shape == m[k].shape:
average[k] += m[k] / n
print "Saving to", args.output
np.savez(args.output, **average)
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