46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
import random
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import numpy as np
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import tensorflow as tf
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from keras_core.api_export import keras_core_export
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@keras_core_export("keras_core.utils.set_random_seed")
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def set_random_seed(seed):
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"""Sets all random seeds (Python, NumPy, and backend framework, e.g. TF).
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You can use this utility to make almost any Keras program fully
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deterministic. Some limitations apply in cases where network communications
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are involved (e.g. parameter server distribution), which creates additional
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sources of randomness, or when certain non-deterministic cuDNN ops are
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involved.
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Calling this utility is equivalent to the following:
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```python
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import random
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import numpy as np
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import tensorflow as tf
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random.seed(seed)
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np.random.seed(seed)
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tf.random.set_seed(seed)
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```
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Note that the TensorFlow seed is set even if you're not using TensorFlow
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as your backend framework, since many workflows leverage `tf.data`
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pipelines (which feature random shuffling). Likewise many workflows
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might leverage NumPy APIs.
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Arguments:
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seed: Integer, the random seed to use.
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"""
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if not isinstance(seed, int):
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raise ValueError(
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"Expected `seed` argument to be an integer. "
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f"Received: seed={seed} (of type {type(seed)})"
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)
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random.seed(seed)
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np.random.seed(seed)
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tf.random.set_seed(seed)
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