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padata: update documentation
This patch updates the padata documentation to the changed API of padata_start/padata_stop and padata_do parallel. Signed-off-by: Steffen Klassert <steffen.klassert@secunet.com> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
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@ -22,12 +22,15 @@ actually be done; it should be a multithreaded queue, naturally.
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There are functions for enabling and disabling the instance:
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void padata_start(struct padata_instance *pinst);
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int padata_start(struct padata_instance *pinst);
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void padata_stop(struct padata_instance *pinst);
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These functions literally do nothing beyond setting or clearing the
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"padata_start() was called" flag; if that flag is not set, other functions
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will refuse to work.
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These functions are setting or clearing the "PADATA_INIT" flag;
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if that flag is not set, other functions will refuse to work.
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padata_start returns zero on success (flag set) or -EINVAL if the
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padata cpumask contains no active cpu (flag not set).
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padata_stop clears the flag and blocks until the padata instance
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is unused.
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The list of CPUs to be used can be adjusted with these functions:
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@ -63,12 +66,10 @@ The submission of work is done with:
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The pinst and padata structures must be set up as described above; cb_cpu
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specifies which CPU will be used for the final callback when the work is
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done; it must be in the current instance's CPU mask. The return value from
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padata_do_parallel() is a little strange; zero is an error return
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indicating that the caller forgot the padata_start() formalities. -EBUSY
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means that somebody, somewhere else is messing with the instance's CPU
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mask, while -EINVAL is a complaint about cb_cpu not being in that CPU mask.
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If all goes well, this function will return -EINPROGRESS, indicating that
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the work is in progress.
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padata_do_parallel() is zero on success, indicating that the work is in
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progress. -EBUSY means that somebody, somewhere else is messing with the
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instance's CPU mask, while -EINVAL is a complaint about cb_cpu not being
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in that CPU mask or about a not running instance.
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Each task submitted to padata_do_parallel() will, in turn, be passed to
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exactly one call to the above-mentioned parallel() function, on one CPU, so
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