35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from argparse import ArgumentParser
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from vae.load.preprocessing import load_and_parse_ML_20M
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import numpy as np
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parser = ArgumentParser(description="Prepare data for VAE training")
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parser.add_argument('--data_dir', default='/data', type=str,
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help='Directory for storing the training data')
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parser.add_argument('--seed', default=0, type=int,
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help='Random seed')
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args = parser.parse_args()
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print('Preprocessing seed: ', args.seed)
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np.random.seed(args.seed)
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# load dataset
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(train_data,
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validation_data_input,
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validation_data_true,
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test_data_input,
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test_data_true) = load_and_parse_ML_20M(args.data_dir)
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