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train.py
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train.py
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#Copyright 2022 Hamidreza Sadeghi. All rights reserved.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
from dataLoader.utils import load_file, save_file
from dataLoader.utils import get_poems_and_poets
from dataLoader.utils import get_training, separate
from sklearn.model_selection import train_test_split
from tokenization.bpe_tokenization import BPE_Tokenization
from dataLoader.generator import DataGenerator
from models.gru_encoder_decoder import get_encoder_decoder
import pickle
import matplotlib.pyplot as plt
import numpy as np
import argparse
def main():
parser = argparse.ArgumentParser(description='Create a train command.')
parser.add_argument('--poem_train_pkl',
type=str,
required=True,
default='dataset/poem_list_train.pickle',
help='path to the poem_list_train.pickle file')
parser.add_argument('--poem_test_pkl',
type=str,
required=True,
default='dataset/poem_list_test.pickle',
help='path to the poem_list_test.pickle file')
parser.add_argument('--poet_train_pkl',
type=str,
required=True,
default='dataset/poet_list_train.pickle',
help='path to the poet_list_train.pickle file')
parser.add_argument('--poet_test_pkl',
type=str,
required=True,
default='dataset/poet_list_test.pickle',
help='path to the poet_list_test.pickle file')
parser.add_argument('--tokenizer',
type=str,
required=True,
default='tokenization/bpe_tokenization.pkl',
help='path to the tokenizer file')
args = parser.parse_args()
return
if __name__ == "__main__":
main()