Greg Kroah-Hartman
598cf27219
Link: https://lore.kernel.org/r/20260217200002.683975158@linuxfoundation.org Tested-by: Florian Fainelli <florian.fainelli@broadcom.com> Tested-by: Takeshi Ogasawara <takeshi.ogasawara@futuring-girl.com> Tested-by: Peter Schneider <pschneider1968@googlemail.com> Tested-by: Jon Hunter <jonathanh@nvidia.com> Tested-by: Salvatore Bonaccorso <carnil@debian.org> Tested-by: Brett A C Sheffield <bacs@librecast.net> Tested-by: Mark Brown <broonie@kernel.org> Tested-by: Luna Jernberg <droidbittin@gmail.com> Tested-by: Ronald Warsow <rwarsow@gmx.de> Tested-by: Justin M. Forbes <jforbes@fedoraproject.org> Tested-by: Ron Economos <re@w6rz.net> Tested-by: Miguel Ojeda <ojeda@kernel.org> Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
35 lines
1.2 KiB
Plaintext
35 lines
1.2 KiB
Plaintext
# SPDX-License-Identifier: GPL-2.0-only
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#
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# Compute Acceleration device configuration
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#
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# This framework provides support for compute acceleration devices, such
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# as, but not limited to, Machine-Learning and Deep-Learning acceleration
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# devices
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#
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if DRM
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menuconfig DRM_ACCEL
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bool "Compute Acceleration Framework"
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help
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Framework for device drivers of compute acceleration devices, such
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as, but not limited to, Machine-Learning and Deep-Learning
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acceleration devices.
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If you say Y here, you need to select the module that's right for
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your acceleration device from the list below.
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This framework is integrated with the DRM subsystem as compute
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accelerators and GPUs share a lot in common and can use almost the
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same infrastructure code.
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Having said that, acceleration devices will have a different
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major number than GPUs, and will be exposed to user-space using
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different device files, called accel/accel* (in /dev, sysfs
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and debugfs).
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source "drivers/accel/amdxdna/Kconfig"
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source "drivers/accel/ethosu/Kconfig"
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source "drivers/accel/habanalabs/Kconfig"
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source "drivers/accel/ivpu/Kconfig"
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source "drivers/accel/qaic/Kconfig"
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source "drivers/accel/rocket/Kconfig"
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endif
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