KVM: SEV: Do cache maintenance on the source VM during intra-host migrationgrafted

Manually perform cache maintenance on the source VM during intra-host
migration to ensure no stale data is left in CPU caches after the VM is
destroyed.  Because the source VM is "converted" to a non-SEV VM, KVM's
memory reclaim flows won't trigger cache maintenance, e.g. when all guest
memory is reclaimed in response to detaching from the mmu_notifier.

Note, relying on the destination VM to do cache maintenance isn't an option
as KVM doesn't require identical guest memory configurations, i.e. the
source VM may have access to memory that the destination VM does not.
Enforcing equivalent memory configurations is infeasible, as it would
require a *deep* comparison of memslots, e.g. to verify that not only are
the memslot identical, but what the memslots point at is also identical.

Fixes: b56639318bb2 ("KVM: SEV: Add support for SEV intra host migration")
Cc: stable@vger.kernel.org
Reported-by: Stefan Teodorescu <fane@google.com>
Signed-off-by: Sean Christopherson <seanjc@google.com>
Message-ID: <20260923163721.1584779-3-seanjc@google.com>
Signed-off-by: Paolo Bonzini <pbonzini@redhat.com>

1 files changed, 116 insertions, 0 deletions

diff --git a/Documentation/process/generated-content.rst b/Documentation/process/generated-content.rst
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+============================================
+Kernel Guidelines for Tool-Generated Content
+============================================
+
+Purpose
+=======
+
+Kernel contributors have been using tooling to generate contributions
+for a long time. These tools can increase the volume of contributions.
+At the same time, reviewer and maintainer bandwidth is a scarce
+resource. Understanding which portions of a contribution come from
+humans versus tools is helpful to maintain those resources and keep
+kernel development healthy.
+
+The goal here is to clarify community expectations around tools. This
+lets everyone become more productive while also maintaining high
+degrees of trust between submitters and reviewers.
+
+Out of Scope
+============
+
+These guidelines do not apply to tools that make trivial tweaks to
+preexisting content. Nor do they pertain to tooling that helps with
+menial tasks. Some examples:
+
+ - Spelling and grammar fix ups, like rephrasing to imperative voice
+ - Typing aids like identifier completion, common boilerplate or
+   trivial pattern completion
+ - Purely mechanical transformations like variable renaming
+ - Reformatting, like running Lindent, ``clang-format`` or
+   ``rust-fmt``
+
+Even whenever your tool use is out of scope, you should still always
+consider if it would help reviewing your contribution if the reviewer
+knows about the tool that you used.
+
+In Scope
+========
+
+These guidelines apply when a meaningful amount of content in a kernel
+contribution was not written by a person in the Signed-off-by chain,
+but was instead created by a tool.
+
+Detection of a problem and testing the fix for it is also part of the
+development process; if a tool was used to find a problem addressed by
+a change, that should be noted in the changelog. This not only gives
+credit where it is due, it also helps fellow developers find out about
+these tools.
+
+Some examples:
+ - Any tool-suggested fix such as ``checkpatch.pl --fix``
+ - Coccinelle scripts
+ - A chatbot generated a new function in your patch to sort list entries.
+ - A .c file in the patch was originally generated by a coding
+   assistant but cleaned up by hand.
+ - The changelog was generated by handing the patch to a generative AI
+   tool and asking it to write the changelog.
+ - The changelog was translated from another language.
+
+If in doubt, choose transparency and assume these guidelines apply to
+your contribution.
+
+Guidelines
+==========
+
+First, read the Developer's Certificate of Origin:
+Documentation/process/submitting-patches.rst. Its rules are simple
+and have been in place for a long time. They have covered many
+tool-generated contributions. Ensure that you understand your entire
+submission and are prepared to respond to review comments.
+
+Second, when making a contribution, be transparent about the origin of
+content in cover letters and changelogs. You can be more transparent
+by adding information like this:
+
+ - What tools were used?
+ - The input to the tools you used, like the Coccinelle source script.
+ - If code was largely generated from a single or short set of
+   prompts, include those prompts. For longer sessions, include a
+   summary of the prompts and the nature of resulting assistance.
+ - Which portions of the content were affected by that tool?
+ - How is the submission tested and what tools were used to test the
+   fix?
+
+As with all contributions, individual maintainers have discretion to
+choose how they handle the contribution. For example, they might:
+
+ - Treat it just like any other contribution.
+ - Reject it outright.
+ - Treat the contribution specially, for example, asking for extra
+   testing, reviewing with extra scrutiny, or reviewing at a lower
+   priority than human-generated content.
+ - Ask for some other special steps, like asking the contributor to
+   elaborate on how the tool or model was trained.
+ - Ask the submitter to explain in more detail about the contribution
+   so that the maintainer can be assured that the submitter fully
+   understands how the code works.
+ - Suggest a better prompt instead of suggesting specific code changes.
+
+If tools permit you to generate a contribution automatically, expect
+additional scrutiny in proportion to how much of it was generated.
+
+As with the output of any tooling, the result may be incorrect or
+inappropriate. You are expected to understand and to be able to defend
+everything you submit. If you are unable to do so, then do not submit
+the resulting changes.
+
+If you do so anyway, maintainers are entitled to reject your series
+without detailed review.
+
+References
+==========
+
+For specific guidelines on AI coding assistants, see:
+
+* Documentation/process/coding-assistants.rst