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| author | Kumar Kartikeya Dwivedi <memxor@gmail.com> | 2026-09-04 10:43:19 +0200 |
|---|---|---|
| committer | Alexei Starovoitov <ast@kernel.org> | 2026-09-04 07:58:36 -0700 |
| commit | 6668ed271eaefaa63e686bdfbedaeb7b8e492722 (patch) | |
| tree | 58e8288fead484f6755ad0815fc74c3742663761 /drivers/accel/Kconfig | |
| download | linux-stable-6668ed271eaefaa63e686bdfbedaeb7b8e492722.tar.gz linux-stable-6668ed271eaefaa63e686bdfbedaeb7b8e492722.zip | |
selftests/bpf: Reject graph kptr use after RCU unlockgrafted
Add a sleepable verifier test that loads a graph-node local kptr in an
explicit RCU read-side critical section, then passes its node to
bpf_rbtree_remove() after the section ends.
Before the verifier fix, the stale NON_OWN_REF flag makes the node look like
a live borrowed reference and the program is accepted. After the fix, the
pointer is demoted without NON_OWN_REF and the graph kfunc argument is
rejected.
Also exercise a graph kptr loaded while a spin lock provides implicit RCU
protection. The pointer must be invalidated when the lock is released, which
guards the required ordering between non-owning-reference invalidation and
RCU demotion.
Update the existing fault-protected load test state description. The
post-unlock pointer no longer carries NON_OWN_REF, but remains readable
because the load is rewritten to use BPF_PROBE_MEM.
Signed-off-by: Kumar Kartikeya Dwivedi <memxor@gmail.com>
Link: https://lore.kernel.org/r/20260904084325.52250-7-memxor@gmail.com
Signed-off-by: Alexei Starovoitov <ast@kernel.org>
Diffstat (limited to 'drivers/accel/Kconfig')
| -rw-r--r-- | drivers/accel/Kconfig | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/drivers/accel/Kconfig b/drivers/accel/Kconfig new file mode 100644 index 000000000..bdf48ccaf --- /dev/null +++ b/drivers/accel/Kconfig @@ -0,0 +1,34 @@ +# SPDX-License-Identifier: GPL-2.0-only +# +# Compute Acceleration device configuration +# +# This framework provides support for compute acceleration devices, such +# as, but not limited to, Machine-Learning and Deep-Learning acceleration +# devices +# +if DRM + +menuconfig DRM_ACCEL + bool "Compute Acceleration Framework" + help + Framework for device drivers of compute acceleration devices, such + as, but not limited to, Machine-Learning and Deep-Learning + acceleration devices. + If you say Y here, you need to select the module that's right for + your acceleration device from the list below. + This framework is integrated with the DRM subsystem as compute + accelerators and GPUs share a lot in common and can use almost the + same infrastructure code. + Having said that, acceleration devices will have a different + major number than GPUs, and will be exposed to user-space using + different device files, called accel/accel* (in /dev, sysfs + and debugfs). + +source "drivers/accel/amdxdna/Kconfig" +source "drivers/accel/ethosu/Kconfig" +source "drivers/accel/habanalabs/Kconfig" +source "drivers/accel/ivpu/Kconfig" +source "drivers/accel/qaic/Kconfig" +source "drivers/accel/rocket/Kconfig" + +endif |
