tfp.experimental.auto_batching.stackless.is_running
Returns whether the stackless machine is running a computation.
View aliases
Main aliases
tfp.experimental.auto_batching.frontend.st.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
), 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.
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