|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/experimental/auto_batching/stackless.py#L284-L296) | Returns whether the stackless machine is running a computation. #### View aliases **Main aliases** [`tfp.experimental.auto_batching.frontend.st.is_running`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/auto_batching/stackless/is_running)
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`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/auto_batching/type_inference/is_inferring)), or none of the above (i.e., dry-run execution, see [`frontend.Context.batch`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/auto_batching/Context#batch)).


| ## Returns || |---|---| | `running` | Python `bool`, `True` if this is called in the dynamic scope of stackless running, otherwise `False`. |