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authorDanilo Krummrich <dakr@kernel.org>2026-08-13 18:52:04 +0200
committerDanilo Krummrich <dakr@kernel.org>2026-08-17 01:41:36 +0200
commitf146c7bc85a51f95c05e0f8173d484eb301ece78 (patch)
tree07296ae54ed6551492b0c609dc0f5463f61f89ca /drivers/accel/Kconfig
downloadlinux-stable-f146c7bc85a51f95c05e0f8173d484eb301ece78.tar.gz
linux-stable-f146c7bc85a51f95c05e0f8173d484eb301ece78.zip
PCI: Add pci_irq_type() to query the allocated interrupt typegrafted
Add a helper that returns PCI_IRQ_MSIX, PCI_IRQ_MSI, or PCI_IRQ_INTX based on the interrupt type the PCI core selected after pci_alloc_irq_vectors(). Several drivers already open-code this check against pdev->msix_enabled and pdev->msi_enabled, or even open code this helper [1]. A common helper avoids the duplication and keeps drivers from accessing the bitfield directly (see also [2]). Acked-by: Bjorn Helgaas <bhelgaas@google.com> Tested-by: John Hubbard <jhubbard@nvidia.com> Link: https://elixir.bootlin.com/linux/v7.1/source/drivers/net/ethernet/aquantia/atlantic/aq_pci_func.c#L196 [1] Inspired-by: John Hubbard <jhubbard@nvidia.com> Link: https://lore.kernel.org/all/DKKG2QM3YJYB.Z2H2B2UXJ75N@kernel.org/ [2] Reviewed-by: Gary Guo <gary@garyguo.net> Link: https://patch.msgid.link/20260813165234.620555-5-dakr@kernel.org [ Add missing pci_irq_type() stub for CONFIG_PCI=n. ] Signed-off-by: Danilo Krummrich <dakr@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