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authorKumar Kartikeya Dwivedi <memxor@gmail.com>2026-09-04 10:43:19 +0200
committerAlexei Starovoitov <ast@kernel.org>2026-09-04 07:58:36 -0700
commit6668ed271eaefaa63e686bdfbedaeb7b8e492722 (patch)
tree58e8288fead484f6755ad0815fc74c3742663761 /drivers/accel/Kconfig
downloadlinux-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/Kconfig34
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