Add new APIs to bind/unbind PM resources to/from profiler objects:
nvgpu_profiler_bind_pm_resources()
nvgpu_profiler_unbind_pm_resources()
Implement support to bind/unbind SMPC/HWPM/HWPM_STREAMOUT in various
functions in common/profiler/profiler.c.
Unbind all the PM resources explicitly in
nvgpu_profiler_unbind_context() while closing the profiler object.
If resources are bound during a resource reservation request,
unbind the resources explicitly before reserving new resource.
It is responsibility of application to bind the PM resources again.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ib2a0e017eaa23d0d376438771e8bf4e340865f03
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2389655
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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Reviewed-by: svc-mobile-cert <svc-mobile-cert@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
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GVS: Gerrit_Virtual_Submit
Add two new functions to reserve/release PM resources :
nvgpu_prof_ioctl_reserve_pm_resource()
nvgpu_prof_ioctl_release_pm_resource()
Add ctxsw field to struct nvgpu_profiler_object to store per-resource
context switch enable flag.
Force resource reservation release while unbinding the context from
profiler object or while closing the profiler object. Add this code
in nvgpu_profiler_unbind_context() since both above paths will call
this function.
Bug 2510974
Jira NVGPU-5360
Change-Id: If334148e8df86360fba4162d1611187f3f04d01b
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2389654
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: svc-mobile-cert <svc-mobile-cert@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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GVS: Gerrit_Virtual_Submit
Create new dev nodes for device and context profilers. Example of dev
nodes on iGPU
/dev/nvhost-prof-dev-gpu - device scope profiler
/dev/nvhost-prof-ctx-gpu - context scope profiler
Add below APIs to open/close above dev nodes :
nvgpu_prof_dev_fops_open()
nvgpu_prof_ctx_fops_open()
nvgpu_prof_fops_release()
Add common API nvgpu_prof_fops_ioctl() to handle IOCTL call on these
dev nodes. Add IOCTL NVGPU_PROFILER_IOCTL_BIND_CONTEXT to bind the TSG
to profiler objects.
Add nvgpu_tsg_get_from_file() to retrieve TSG struct pointer from
file descriptor. Also store profiler object pointer into TSG struct.
Enable NVGPU_SUPPORT_PROFILER_V2_DEVICE capability on gv11b and tu104.
Note that this is not yet enabled for vGPU.
Keep NVGPU_SUPPORT_PROFILER_V2_CONTEXT capabiity disabled since this
will take longer to support.
Add new IOCTL NVGPU_PROFILER_IOCTL_UNBIND_CONTEXT so that userspace can
explicitly unbind the context and release the resources before closing
the profiler descriptor.
Add context_init flag to profiler object for book keeping.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ie07e0cfd5a9da9d80008f79c955c7ef93b4bc60f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2384354
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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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
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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