mirror of https://github.com/vladmandic/automatic
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
# Copyright 2023 Bingxin Ke, ETH Zurich. 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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# --------------------------------------------------------------------------
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# If you find this code useful, we kindly ask you to cite our paper in your work.
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# Please find bibtex at: https://github.com/prs-eth/Marigold#-citation
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# More information about the method can be found at https://marigoldmonodepth.github.io
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# --------------------------------------------------------------------------
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import random
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import numpy as np
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import torch
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def seed_all(seed: int = 0):
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"""
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Set random seeds of all components.
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"""
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random.seed(seed)
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np.random.seed(seed) # noqa
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torch.manual_seed(seed)
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torch.cuda.manual_seed_all(seed)
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