How do I create reproducible results during model development?

Please comment on how you are ensuring that your model is reproducible. I am sharing two links 1. [TensorFlow](https://keras.io/getting_started/faq/#how-can-i-obtain-reproducible-results-using-keras-during-development) 2. [PyTorch](https://pytorch.org/docs/stable/notes/randomness.html)

Created by Abdul Muntakim Rafi muntakimrafi
this works for me in tensorflow and colab, I found it after some search on stack overflow ``` def set_seeds(seed): os.environ['PYTHONHASHSEED'] = str(seed) random.seed(seed) tf.random.set_seed(seed) np.random.seed(seed) def set_global_determinism(seed): set_seeds(seed=seed) os.environ['TF_DETERMINISTIC_OPS'] = '1' # Call the above function with seed value set_global_determinism(seed=42) ```

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Please comment on how you are ensuring that your model is reproducible. I am sharing two links 1. [TensorFlow](https://keras.io/getting_started/faq/#how-can-i-obtain-reproducible-results-using-keras-during-development) 2. [PyTorch](https://pytorch.org/docs/stable/notes/randomness.html)

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