tfr.keras.strategy_utils.strategy_scope
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Gets the strategy.scope() for training with strategy.
tfr.keras.strategy_utils.strategy_scope(
strategy: Optional[tf.distribute.Strategy]
) -> Any
Example usage:
with strategy_scope(strategy):
model = ...
Args |
|---|
strategy
|
Distributed training strategy is used.
|
Returns |
|---|
|
ContextManager for the distributed training strategy.
|
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Last updated 2023-08-18 UTC.
[null,null,["Last updated 2023-08-18 UTC."],[],[],null,["# tfr.keras.strategy_utils.strategy_scope\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/python/keras/strategy_utils.py#L137-L156) |\n\nGets the strategy.scope() for training with strategy. \n\n tfr.keras.strategy_utils.strategy_scope(\n strategy: Optional[tf.distribute.Strategy]\n ) -\u003e Any\n\n#### Example usage:\n\n with strategy_scope(strategy):\n model = ...\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|----------------------------------------|\n| `strategy` | Distributed training strategy is used. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| ContextManager for the distributed training strategy. ||\n\n\u003cbr /\u003e"]]
View source on GitHub