Add tu104 specific HAL tu104_gr_falcon_ctrl_ctxsw() that processes below
CTXSW methods to start/stop SMPC global mode :
NVGPU_GR_FALCON_METHOD_START_SMPC_GLOBAL_MODE
NVGPU_GR_FALCON_METHOD_STOP_SMPC_GLOBAL_MODE
Add new tu104 specific HAL tu104_gr_update_smpc_global_mode() to trigger
SMPC global mode start/stop using gops.gr.falcon.ctrl_ctxsw().
Update nvgpu_dbg_gpu_ioctl_smpc_ctxsw_mode() to enable/disable SMPC
global mode if channel is not bound to debug session.
Bug 2510974
Bug 2257799
Jira NVGPU-5360
Change-Id: I1f9d8f2a2d30a4738f291db3fc72c400d24f4048
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2368696
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Current PM resource reservation system is limited to HWPM resources
only. And reservation tracking is done using boolean variables.
New upcoming profiler support requires reservation for all the PM
resources like SMPC and PMA stream. Using boolean variables is
not scalable and confusing. Plus the variables have to be replicated
on gpu server in case of virtualization.
Remove flag tracking mechanism and use list based approach to track
all PM reservations. Also, current HALs are defined on debugger object.
Implement new HALs in new pm_reservation object since it is really an
independent functionality.
Add new source file common/profiler/pm_reservation.c which implements
functions to reserve/release resources and to check if any resource
is reserved or not.
Add common/vgpu/pm_reservation_vgpu.c for vGPU which simply forwards
the request to gpu server.
Define new HAL object gops.pm_reservation and assign above functions
to below respective HALs :
g->ops.pm_reservation.acquire()
g->ops.pm_reservation.release()
g->ops.pm_reservation.release_all_per_vmid()
Last HAL above is only used for gpu server cleanup of guest OS.
Add below new common profiler functions that act as APIs to reserve/
release resources for rest of the units in nvgpu.
nvgpu_profiler_pm_resource_reserve()
nvgpu_profiler_pm_resource_release()
Initialize the meta data required for reservtion system in
nvgpu_pm_reservation_init() and call it during nvgpu_finalize_poweron.
Clean up the meta data before releasing struct gk20a.
Delete below HALs :
g->ops.debugger.check_and_set_global_reservation()
g->ops.debugger.check_and_set_context_reservation()
g->ops.debugger.release_profiler_reservation()
Bug 2510974
Jira NVGPU-5360
Change-Id: I4d9f89c58c791b3b2e63099a8a603462e5319222
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2367224
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1) In MIG mode, 2D, 3D, I2M and ZBC classes are not supported by
GR engine. NvGpu shall expose the HWCaps through
"struct nvgpu_gpu_characteristics".
2) NvGpu shall expose the following MIG related new caps through
"struct nvgpu_gpu_characteristics".
* mig_enabled - Flag to indicate whether MIG is enabled/disabled.
* gpu_instance_id - GPU instaces Id.
* gr_instance_id - graphics execution unit id.
* gr_sys_pipe_id - Sys pipe id of GR engine.
3) populate num_ppc_per_gpc - Pixel Processing cluster per GPC
4) populate max_veid_count_per_tsg - Maximum veid count per TSG
5) populate num_sub_partition_per_fbpa - Sub partition per FBPA.
JIRA NVGPU-5762
Change-Id: I06b5bcd3f568eb0b9c78c8fc6ce155b39aaeaba5
Signed-off-by: lm <lm@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2352100
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
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GVS: Gerrit_Virtual_Submit
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On Linux, nvgpu mapping ioctl provides option to specify the access
type flags for the mapping. This support is not implemented for
other OS. For nvrm_gpu to know when to set these flags add new
enabled flag *_MAP_ACCESS_TYPE that is enabled only for Linux.
Bug 200621157
Change-Id: If1397bb0d5fdc5589458d92f24647afa586af1c2
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2363829
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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GVS: Gerrit_Virtual_Submit
Until now, all userspace buffers were mapped in the GMMU as Read & Write
(RW) by default. In order to enable the use cases which require the GPU
to only read the SYSMEM buffers and not inadvertently write to those,
map buffer ioctls need to provide interface to set the mapping access
type from the userspace.
Some of the use cases are:
1. A third party server process exposes shared memory that is
read-only to the client process, which does the GPU processing.
Registering this memory using cudaHostRegister API as read-only
in the client process will restict the access to Read Only type
from the GPU.
2. IO devices exposing streaming read-only data for processing by
the GPU.
3. For marking semantically read-only data as actually read-only
for the purposes of debugging data corruption.
This patch introduces new AS buffer mapping bitmask flag and
corresponding core VM mapping bitmask flag for representing
Read Only (RO) access type. By default, the access is set
as Read Write (RW).
Bug 200621157
Change-Id: I5ec9dec3ce089e577b86c43003d92b61eee4a90b
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2361750
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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GVS: Gerrit_Virtual_Submit
Below APIs to update hwpm/smpc ctxsw mode take a channel pointer as a
parameter. APIs then extract corresponding TSG from channel and perform
various operations on context stored in TSG.
g->ops.gr.update_smpc_ctxsw_mode()
g->ops.gr.update_hwpm_ctxsw_mode()
Update both above APIs to accept TSG pointer instead of a channel.
This is a refactor work to support new profiler design where a profiler
object is bound to TSG and keeps track of TSG only.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ia4cefda503d8420f2bd32d07c57534924f0f557a
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2366122
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Move profiler object allocation/free APIs to separate profiler
specific file common/profiler.c.
Store struct gk20a pointer in struct dbg_profiler_object_data for
convenience of accessing global struct pointer.
Update profiler object to store TSG pointer instead of channel
pointer. Since expectations is to have one profiler object
per context/TSG.
nvgpu_profiler_reserve_acquire() has a case to check if resource
reservation is acquired by some other channel in TSG.
But now since we keep track of TSG itself, this case becomes
redundant and can be removed.
All the support is compiled out of safety build with compile
flag CONFIG_NVGPU_PROFILER.
Linux will always compile the support.
Bug 2510974
Change-Id: I197bbd67a9cdd1fbea42f1effd1b74b15a6068e5
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2365674
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In preparation for making nvgpu more aligned to upstream kernel, the
dependency on the downstream exported _flush_dcache_area is removed.
Nvgpu instead uses dma_buf_begin_cpu_access/dma_buf_end_cpu_access to
correctly flush the dirty writes and ensure coherency for
combits_scatter_buffer.
For kernel versions below 4.19, nvgpu calls the modified
APIs provided by Nvmap. Going forward Nvmap will be maintaining
compatibility with the existing APIs.
Change-Id: I5f4e01e45e61000693182392eadf05f197517a81
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2358937
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GVS: Gerrit_Virtual_Submit
The stored fence in struct gk20a_buffer_state is a post fence of a
previous cde preparation job, if any. This stored fence is passed to
userspace via NVGPU_GPU_IOCTL_PREPARE_COMPRESSIBLE_READ in case a
preparation job was necessary to fulfill the request. As nothing else is
needed from the fence, make it just a struct nvgpu_user_fence.
Add nvgpu_user_fence_clone() for copying this user fence because it's
stored internally and returned to userspace. The refcounted os fence
needs special care. Now that the API is not so trivial anymore, add some
documentation.
Jira NVGPU-5248
Jira NVGPU-5493
Change-Id: I8bc4d52eaab7c7cbc5573b331e72e1d853f9f057
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2359065
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GVS: Gerrit_Virtual_Submit
Decouple the fence information needed for providing submit postfences to
userspace by adding a separate type for that and using it to pass fence
data to ioctls.
The data in struct nvgpu_fence_type is used in various places:
- job tracking needs to know when a post fence is expired
- job submitters within the driver (vidmem clears) need to be able to
wait for these fences
- userspace needs the fence as an id, value pair or as a file descriptor
created from an os fence
To keep object lifetimes strict, start decoupling the os fence data out
of struct nvgpu_fence_type: delete nvgpu_fence_install_fd() and add
nvgpu_fence_extract_user() to return a struct nvgpu_user_fence that
contains only the necessary information. Storing the os fence in job
tracking metadata is legacy code and not useful. Passing the os fence
from where it's created through the whole submit path inside this
combined fence type has been convenient, though.
The internally stored cde job fence in dmabuf compression metadata is
still nvgpu_fence_type to keep this patch simple.
Jira NVGPU-5248
Change-Id: I75b7da676fb6aa083828f888c55571bbf7645ef3
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2359064
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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GVS: Gerrit_Virtual_Submit
The os fences can currently be constructed from a file descriptor, from
a raw syncpt id/value pair, or a struct nvgpu_semaphore. Each os fence
object has exactly one owner for simplicity as the owner is a wrapper
for a refcounted object. This does not allow copying the fences, so
extend struct nvgpu_os_fence_ops with a member to increment the refcount
of the underlying fence. This can be used to "duplicate" the object. The
copy needs an eventual call to ops->drop_ref() to release the refcount.
This will be useful to decouple the features of struct nvgpu_fence_type
needed in the kernel and those needed for userspace.
Jira NVGPU-5248
Change-Id: Ie7b943f0851f62842e941a7283b389bac84ae9ae
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2359063
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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GVS: Gerrit_Virtual_Submit
The current debugfs code is completely specific to FIFO's kickoff
profiler. But exposing these debugfs nodes is really a perfectly
generic operation to any given profiler.
Therefore add a generic debugfs interface for exposing profilers.
Any code that implements a profiler can now use a single function
call to export a profiler to the GPU debugfs area.
JIRA NVGPU-5606
Change-Id: I67a5bd9998fcfac94678e465442b9a38ab7e7612
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2358382
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Add a generic profiler based on the channel kickoff profiler. This
aims to provide a mechanism to allow engineers to (more) easily profile
arbitrary software paths within nvgpu.
Usage of this profiler is still primarily through debugfs. Next up is
a generic debugfs interface for this profiler in the Linux code.
The end goal for this is to profile the recovery code and generate
interesting statistics.
JIRA NVGPU-5606
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Change-Id: I99783ec7e5143855845bde4e98760ff43350456d
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2355319
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The differences between sync_fence ("android sync") and dma_fence are
abstracted away by nvhost in the nvhost_fence interface. There is no
need to have separate android and dma os fences for syncpoints; unify
the general implementation so that it's always used when requested for
the build.
Jira NVGPU-5386
Change-Id: Ia829e93e18d03064ff46ab1271547de2d1fb1cae
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2356158
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Implement empty stubs of the channel watchdog functions for when
watchdog is disabled from build. Add some forward declarations that were
missing. Now most call sites don't need #idefs for the build flag.
Add error checks for the wdt alloc failure.
Jira NVGPU-5494
Jira NVGPU-5493
Change-Id: I2d42e8ab4c5e045cd280b2e1f254396127bd154b
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2352050
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Currently, nvgpu_writel_loop() writes to a register and immediately
checks if register value is updated. It might take some time for
hardware registers to get updated with value written by software.
Modify nvgpu_writel_loop() to accept number of retries to check if
register value is updated and assert with nvgpu_assert().
Also, move nvgpu_writel_loop() to common code and use generic
nvgpu_readl() and nvgpu_writel() APIs.
JIRA NVGPU-5490
Change-Id: Iaaf24203a91eee3d05de7d0c7dea18113367de5f
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2348628
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Historically, nvgpu has supported a struct gk20a_dmabuf_priv and
associated it with a dmabuf instance. This was aided by Nvmap's
dma_buf_set_drv_data() and dma_buf_get_drvdata() APIs. gk20a_dmabuf_priv
is used to store Comptag IDs i.e. (1 per 64 kb) as well as can store the
dmabuf attachments to avoid multiple attach/detach calls. dma_buf_set_drv_data()
allows Nvgpu to associate an instance of struct gk20a_dmabuf_priv with the instance
of the dmabuf and also provide a release callback to delete the
instance when the last reference to the dmabuf is put. Nvmap accomplishes
this by modifying the struct dma_buf_ops definition to include the
set_drv_data and get_drv_data callbacks in the kernel code.
The above approach won't work for upstream Kstable and Nvmap
plans to remove these APIs for upcoming newer downstream kernels as
well.
In order to implement the same functionality without depending on Nvmap,
Nvgpu will implement a release chaining mechanism. Dmabuf's 'ops' pointer
points to a constant struct and hence a whole copy of the ops is made
followed by altering the new copy's release pointer.
struct gk20a_dmabuf_priv stores the new copy and the dmabuf's 'ops' is
changed to point to this. This allows Nvgpu to retrieve
the corresponding gk20a_dmabuf_priv instance using container_of.
Nvgpu's custom release callback will invoke the original release
callback of the dmabuf's producer as a last step, thus completing the
full circle. In case, the driver is removed, Nvgpu restores the
dmabuf's 'ops' back to the original state. In order to accomplish this,
every instance of a struct nvgpu_os_linux maintains a linkedlist of the
gk20a_dma_buf instances. During the driver removal, this linkedlist is
traversed and the corresponding dmabuf's 'ops' pointer is put back to
its original state followed by freeing of this instance.
Nvgpu is a producer of dmabuf's for vidmem and needs
a way to check whether the given dmabuf belongs to itself.
Its no longer reliable to depend on a comparision of
the 'ops' pointer. Instead dmabuf_export_info() allows a name to be set by the
exporter and this can be used to compare with a memory location
that belongs to Nvgpu. Similarly for sysmem dmabufs, Nvmap makes a
similar change in the way it identifies whether a dmabuf belongs to
itself.
Removed NVGPU_DMABUF_HAS_DRVDATA and moved to a unified mechanism for
both downstream as well as upstream kernel.
Some of the other changes in this file include the following.
1) Deletion of dmabuf.c and moving its contents over to dmabuf_priv.c
2) Replacing gk20a_mm_pin_has_drvdata with nvgpu_mm_pin_privdata and
vice-versa for unpin.
Bug 2878569
Change-Id: Icf8e79b05a25ad5a85f478c3ee0fc1eb7747e22d
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2341001
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Puneet Saxena <puneets@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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Make Recovery and quiesce co-exist to support quiesce state
on unrecoverrable errors. Currently, the quiesce code is wrapped
under ifndef CONFIG_NVGPU_RECOVERY. Isolate the quiesce code from
recovery config, thereby enabling it on all builds.
On Linux, the hung_task checker(check_hung_uninterruptible_tasks()
in kernel/hung_task.c) complains that quiesce thread is stuck for
more than 120 seconds.
INFO: task sw-quiesce:1068 blocked for more than 120 seconds.
The wait time of more than 120 seconds is expected as quiesce
thread will wait until quiesce call is triggered on fatal
unrecoverable errors. However, the INFO print upsets the
kernel_warning_test(KWT) on Linux builds. To fix the failing
KWT, change the quiesce task to interruptible instead of
uninterruptible as checker only looks at uninterruptible tasks.
Bug 2919899
JIRA NVGPU-5479
Change-Id: Ibd1023506859d8371998b785e881ace52cb5f030
Signed-off-by: tkudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2342774
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Disable the somewhat non-useful syncpoint debug spew in the nvgpu
debug spew. The GPU has it's own snapshot view of syncpoints so
visibility into other syncpoint data is often not very helpful.
However, there are plausibly times where this would be necessary.
For example debugging a sync issue between the GPU and some other
SoC engine. Therefore, the syncpoint debug spew can be enabled
again at runtime if necessary.
JIRA NVGPU-5541
Change-Id: I7028e2d6027e41835b2fed4f2bbb366c16b99967
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2349185
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The gk20a_debug_dump() function implicitly adds a newline since it
uses nvgpu_err() under the hood (for uart destined prints). For the
seq_file destined writes it does not so there is an annoying inconsistency.
Remove the newline that many of the gk20a_debug_dump() calls add and add
the newline to the (now) seq_printf() call. This reduces the length of
debug dump logs and speeds them up - UART is _very_ slow after all.
Also cleanup some formatting issues in the various debug prints I
happened to notice.
JIRA NVGPU-5541
Change-Id: Iabf853d5c50214794fc4cbb602dfffabeb877132
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2347956
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With an exclusively owned context and a channel per cde job, new cde
jobs are never launched on an active channel. A context is allocated,
then used with one job, and then released to the free pool when the
completion callback occurs. There is no need to check for an empty job
list, so delete the check to avoid a dependency to channel joblist
internals from cde code.
Long back in the history the cde contexts were reused before going idle
but the dynamic allocation has existed for years now and each
context/channel pair is isolated.
Jira NVGPU-5492
Change-Id: I9047ef4cd029996ba58fec42ddd55bb52cf0d6a6
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2343243
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