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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import argparse
import yaml
import numpy as np
def main():
desc = """Export word embedding from model"""
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter, description=desc)
parser.add_argument("-m", "--model", help="Model file", required=True)
parser.add_argument(
"-o", "--output-prefix", help="Output files prefix", required=True)
args = parser.parse_args()
print("Loading model")
model = np.load(args.model)
special = yaml.load(model["special:model.yml"][:-1].tobytes())
if special["type"] == "amun":
enc_emb = model["Wemb"]
dec_emb = model["Wemb_dec"]
else:
enc_emb = model["encoder_Wemb"]
dec_emb = model["decoder_Wemb"]
with open(args.output_prefix + ".src", "w") as out:
out.write("{0} {1}\n".format(*enc_emb.shape))
for i in range(enc_emb.shape[0]):
vec = " ".join("{0:.8f}".format(v) for v in enc_emb[i])
out.write("{0} {1}\n".format(i, vec))
with open(args.output_prefix + ".trg", "w") as out:
out.write("{0} {1}\n".format(*dec_emb.shape))
for i in range(dec_emb.shape[0]):
vec = " ".join("{0:.8f}".format(v) for v in dec_emb[i])
out.write("{0} {1}\n".format(i, vec))
if __name__ == '__main__':
main()
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