From dd05add7b2b6004c5fa3a1f276f56d8668f86b65 Mon Sep 17 00:00:00 2001 From: Paulo Alcantara Date: Sat, 26 Sep 2026 19:20:30 -0300 Subject: netfs: zero the tail of a short DIO/unbuffered read The buffered read collector zero-fills the tail of a short read that stops below the inode's i_size (netfs_clear_unread()), so a read that races an extending write still returns the expected number of bytes. The non-buffered collector path does no such thing: it just records how much was transferred. Add the same zero-fill for the non-buffered case, gated on NETFS_SREQ_CLEAR_TAIL: a subreq's source sets that flag when a short result from it is known to be safe to treat as a hole, as opposed to NETFS_SREQ_HIT_EOF, which means the read genuinely ran off the end of the file and should be reported short as-is. Only CLEAR_TAIL should zero-fill here; a real EOF must stay a real short read. No source currently sets CLEAR_TAIL on an unbuffered/DIO subrequest, so this is inert on its own -- a following change teaches cifs to set it in the one case that needs it. Fixes: e2d46f2ec332 ("netfs: Change the read result collector to only use one work item") Reviewed-by: David Howells Reviewed-by: Namjae Jeon Signed-off-by: Paulo Alcantara Cc: Christian Brauner Cc: Matthew Wilcox Cc: Ronnie Sahlberg Cc: Shyam Prasad N Cc: Tom Talpey Cc: Bharath SM Cc: stable@vger.kernel.org --- drivers/accel/Kconfig | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) create mode 100644 drivers/accel/Kconfig (limited to 'drivers/accel/Kconfig') 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 -- cgit v1.3.1