tfp.experimental.auto_batching.stackless.is_running
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Returns whether the stackless machine is running a computation.
tfp.experimental.auto_batching.stackless.is_running()
This can be useful for writing special primitives that change their behavior
depending on whether they are being staged, run stackless, inferred (see
type_inference.is_inferring
), or none of the above (i.e., dry-run execution,
see frontend.Context.batch
).
Returns |
running
|
Python bool , True if this is called in the dynamic scope of
stackless running, otherwise False .
|
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Last updated 2023-11-21 UTC.
[null,null,["Last updated 2023-11-21 UTC."],[],[],null,["# tfp.experimental.auto_batching.stackless.is_running\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/experimental/auto_batching/stackless.py#L284-L296) |\n\nReturns whether the stackless machine is running a computation.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tfp.experimental.auto_batching.frontend.st.is_running`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/auto_batching/stackless/is_running)\n\n\u003cbr /\u003e\n\n tfp.experimental.auto_batching.stackless.is_running()\n\nThis can be useful for writing special primitives that change their behavior\ndepending on whether they are being staged, run stackless, inferred (see\n[`type_inference.is_inferring`](../../../../tfp/experimental/auto_batching/type_inference/is_inferring)), or none of the above (i.e., dry-run execution,\nsee [`frontend.Context.batch`](../../../../tfp/experimental/auto_batching/Context#batch)).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|-----------|-------------------------------------------------------------------------------------------------------|\n| `running` | Python `bool`, `True` if this is called in the dynamic scope of stackless running, otherwise `False`. |\n\n\u003cbr /\u003e"]]