Legacy profiler does not reserve PMA stream resource with PM
reservation system. Also, HWPM system reset is separately implemented
in membuf disable path. And it does not even restore perf unit SLCG
prod values.
Allcoate a dummy profiler object for debug session in perfbuf map
path. Free it in perfbuf unmap path.
This has advantage of synchronizing PMA stream reservation with new
profiler stack. And this also leverages HWPM system reset and SLCG
handling code during resource reservation.
Remove explicit HWPM reset from gops.perf.membuf_reset_streaming()
HALs
Bug 2510974
Jira NVGPU-5360
Change-Id: I54c5202b6251dea3d80a4dfc011e8a296339e07f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2399595
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Delete the struct nvgpu_engine_info as it's essentially identical to
struct nvgpu_device. Duplicating data structures is not ideal as it's
terribly confusing what does what.
Update all uses of nvgpu_engine_info to use struct nvgpu_device. This
is often a fairly straight forward replacement. Couple of places though
where things got interesting:
- The enum_type that engine_info uses is defined in engines.h and
has a bit of SW abstraction - in particular the GRCE type. The only
place this seemed to be actually relevant (the IOCTL providing device
info to userspace) the GRCE engines can be worked out by comparing
runlist ID.
- Addition of masks based on intr_id and reset_id; those can be
computed easily enough using BIT32() but this is an area that
could be improved on.
This reaches into a lot of extraneous code that traverses the fifo
active engines list and dramtically simplifies this. Now, instead of
having to go through a table of engine IDs that point to the list of
all host engines, the active engine list is just a list of pointers to
valid engines. It's now trivial to do a for-all-active-engines type
loop. This could even be turned into a generic macro or otherwise
abstracted in the future.
JIRA NVGPU-5421
Change-Id: I3a810deb55a7dd8c09836fd2dae85d3e28eb23cf
Signed-off-by: Alex Waterman <alexw@nvidia.com>
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Currently, we just deinitialize the nvlink in the shutdown path.
This alone is not sufficient and can lead to someone trying to use
dGPU while being shutdown.
Avoid triggers to dGPU usage by -
1. Set NVGPU_DRIVER_IS_DYING to let users
know that the driver is currently in the process of dying.
2. Disable IRQs
3. Prepare for poweroff using nvgpu_prepare_poweroff
4. Stop CPU from accessing GPU registers
5. Set GPU state to POWEROFF
Bug 200601517
JIRA NVGPU-5991
Change-Id: Ie185516618678bb893bcc3c3dcb514701483ecf2
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2393565
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Implement new API nvgpu_prof_ioctl_exec_reg_ops() to support regops on
new profiler objects.
Add two new staging buffers to hold regops copied from userspace, and
to convert and execute regops in common code.
Buffers are allocated and released along with the profiler object.
New API will implements this :
- copy regops data in chunks of 4K from userspace
- store them in staging buffer
- convert the new regop struct into common regop struct and also
copy the content into second staging buffer
- trigger gops.regops.exec_regops() with second staging buffer as
operation pointer
- convert common regop struct back into new regop struct and copy
back to userspace
Export bunch of helper functions from ioctl_dbg.h. e.g.
nvgpu_get_regops_op_values_common()
Update regop execution code to skip regop execution if regop status
is not valid. This is only possible when userspace requests for
CONTINUE_ON_ERROR mode.
Add more documentation to some of the fields in UAPI header.
Note that maximum atomic operations reported by new API are same
as legacy API and are incorrect. This will be fixed up in upcoming
patches.
Bug 2510974
Jira NVGPU-5360
Change-Id: I9f82052b22143aec33f6e778c0784386744b699e
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2394208
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- use release instead of free for the fence destroy identifier
- nvhost_dev is a struct name, so use nvhost_device
- compare nvgpu_nvhost_syncpt_read_ext_check retval properly
Also, if the syncpt read fails when checking for fence expiration,
behave as if the wait isn't expired. Possibly getting stuck is safer
than possibly continuing too early.
Jira NVGPU-5617
Change-Id: Ied529e25f8c43f1c78fd9eac73b9cd6c3550ead5
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2398399
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struct nvgpu_gr is right now initialized during probe and from OS
specific code. To support multiple instances of graphics engine,
nvgpu needs to initialize nvgpu_gr after number of engine instances
have been enumerated in poweron path.
Hence move nvgpu_gr_alloc() to poweron path and after gr manager has
been initialized.
Some of the members of nvgpu_gr are initialized in probe path and they
too are in OS specific code. Move them to common code in
nvgpu_gr_alloc()
Add field fecs_feature_override_ecc_val to struct gk20a to store the
override flag read from device tree. This flag is later copied to
nvgpu_gr in poweron path.
Update tpc_pg_mask_store() to check for g->gr being NULL before
accessing golden image pointer.
Update tpc_fs_mask_store() to return error if g->gr is not initialized.
This path needs nvgpu_gr struct initialized. Also fix the incorrect
NULL pointer check in tpc_fs_mask_store() which breaks the write path
to this sysfs.
Jira NVGPU-5648
Change-Id: Ifa2f66f3663dc2f7c8891cb03b25e997e148ab06
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2397259
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The channel watchdog feature has always been a blocker for deterministic
submits. Instead of waiting for a submit call to happen just to reject
it, nack already the setup_bind ioctl if deterministic is set and the
watchdog has not been disabled before. This can avoid confusion with
usermode submits where leaving the watchdog set would have worked but
the watchdog would never see updates from userspace.
Disallow also any other watchdog adjustments than disabling it when the
channel has been set up for deterministic mode.
Jira NVGPU-5582
Change-Id: I0ba4584bbc035197d952e5b562197c36aa483867
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2369819
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Add a "priv" fence struct type and use that in the fence type to
emphasize that the inner data is not meant to be seen.
The fence unit needs to have an outside-visible fence type so that
fences can be allocated directly as a struct field in job metadata for
performance and simplicity, so hiding the type entirely wouldn't work.
A couple of places need to touch the priv data directly in channel code.
Those can be thought to be technically fence unit's code scattered
outside the fence files, but they mean that the architecture is not
perfect yet.
Jira NVGPU-5773
Change-Id: Ifa3c95757ae31eef0e32f2605293e23e210b065f
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2395071
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Split up nvgpu_channel_clean_up_jobs() on the clean_all parameter so
that there's one version for the asynchronous ("deferred") cleanup and
another for the synchronous deterministic cleanup that occurs in the
submit path.
Forking another version like this adds some repetition, but this lets us
look at both versions clearly in order to come up with a coherent plan.
For example, it might be feasible to have the light cleanup of pooled
items in also the nondeterministic path, and deferring heavy cleanup to
another, entirely separated job queue.
Jira NVGPU-5493
Change-Id: I5423fd474e5b8f7b273383f12302126f47076bd3
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2346065
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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
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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
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GVS: Gerrit_Virtual_Submit
Rework regops execution API to accomodate below updates for new
profiler design
- gops.regops.exec_regops() should accept TSG pointer instead of
channel pointer.
- Remove individual boolean parameters and add one flag field.
Below new flags are added to this API :
NVGPU_REG_OP_FLAG_MODE_ALL_OR_NONE
NVGPU_REG_OP_FLAG_MODE_CONTINUE_ON_ERROR
NVGPU_REG_OP_FLAG_ALL_PASSED
NVGPU_REG_OP_FLAG_DIRECT_OPS
Update other APIs, e.g. gr_gk20a_exec_ctx_ops() and validate_reg_ops()
as per new API changes.
Add new API gk20a_is_tsg_ctx_resident() to check context residency
from TSG pointer.
Convert gr_gk20a_ctx_patch_smpc() to a HAL gops.gr.ctx_patch_smpc().
Set this HAL only for gm20b since it is not required for later chips.
Also, remove subcontext code from this function since gm20b does not
support subcontext.
Remove stale comment about missing vGPU support in exec_regops_gk20a()
Bug 2510974
Jira NVGPU-5360
Change-Id: I3c25c34277b5ca88484da1e20d459118f15da102
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2389733
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In nvgpu_dbg_gpu_ioctl_smpc_ctxsw_mode(), check if SMPC global mode
capability is supported instead of checking for the function pointer.
Enable the capability only for Turing since pre-Turing GPUs don't
support it.
Bug 2510974
Jira NVGPU-5360
Change-Id: I352fb2a91b836cd8ef727966a53a28255d8ea834
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2389653
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- NvRmGpuDeviceSetSmDebugMode uses regops interface.
- NvRmGpuDeviceTriggerSuspend, NvRmGpuDeviceWaitForPause,
and NvRmGpuDeviceResumeFromPause should return error on Pascal+. Use
regops interface to suspend/resume.
- On non-cilp devices(Maxwell), NvRmGpuDeviceTriggerSuspend,
NvRmGpuDeviceWaitForPause, NvRmGpuDeviceResumeFromPause and
NvRmGpuDeviceSetSmDebugMode are used when debugger(including coredump,
memcheck) is attached or when CUDA application uses a syscall that
requires traphandler(assert, cnp).
Bug 2558022
Bug 2559631
Bug 2706068
JIRA NVGPU-5502
Change-Id: I9eb2ab0c8c75c50f53523d8bf39c75f98b34f3f0
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2376159
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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
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Currently, NVGPU_SUPPORT_FECS_CTXSW_TRACE enabled flag is set to true
when fecs_trace s/w setup is executed successfully. Sometimes,
fecs_trace is required to be disabled for debugging. This change will
help disable/enable fecs_trace feature by modifying one of the enabled
flags.
Enable NVGPU_SUPPORT_FECS_CTXSW_TRACE during chip specific hal init.
Control fec_trace init and ctxsw dev open depending on
NVGPU_SUPPORT_FECS_CTXSW_TRACE flag status.
JIRA NVGPU-5616
Change-Id: Id0754a5af7cd95a67a1f0ae5de36115d44e1111b
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2357501
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gk20a_perfbuf_map() allocates perfbuf VM, maps the user buffer into new
VM, and then triggers gops.perfbuf.perfbuf_enable(). This HAL then does
following :
- Allocate perfbuf instance block
- Initialize perfbuf instance block
- Reset stream buffer
- Program instance block address in PMA registers
- Program user buffer address into PMA registers
New profiler interface will have it's own API to setup PMA strem, and
it requires above setup to be done in two phases of perfbuf
initialization and then user buffer setup.
Split above functionalities into below functions
- nvgpu_perfbuf_init_vm()
- Allocate perfbuf VM
- Call gops.perfbuf.init_inst_block() to initialize perfbuf instance
block
- gops.perfbuf.init_inst_block()
- Allocate perfbuf instance block
- Initialize perfbuf instance block
- Program instance block address in PMA registers using
gops.perf.init_inst_block()
- In case of vGPU, trigger TEGRA_VGPU_CMD_PERFBUF_INST_BLOCK_MGT
command to gpu server
- gops.perf.init_inst_block()
- Reset stream buffer
- Program user buffer address into PMA registers
Also add corresponding cleanup functions as below :
gops.perf.deinit_inst_block()
gops.perfbuf.deinit_inst_block()
nvgpu_perfbuf_deinit_vm()
Bug 2510974
Jira NVGPU-5360
Change-Id: I486370f21012cbb7fea84fe46fb16db95bc16790
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2372984
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Below change added capability check in the ioctl. nvgpu is advertising
the support for RESCHEDULE_RUNLIST for all processes even though it
fails the ioctl for non-realtime processes.
Clear the ioctl flag for RESCHEDULE_RUNLIST for non-realtime processes.
commit 838ba0a14d ("gpu: nvgpu: check capability for reschedule runlist submit flag")
Author: David Li <davli@nvidia.com>
Date: Tue Sep 12 18:37:00 2017 -0700
NVGPU_SUBMIT_GPFIFO_FLAGS_RESCHEDULE_RUNLIST is only used by realtime
priority EGL context, which checks for CAP_SYS_NICE during context
creation in userspace, so it wasn't secure against unprivileged program
spoofing submit ioctl with this flag to stall GPU progress of others.
This flag does increase duration of submit by approx 16us,
mostly due to register accesses and PMU FIFO mutex.
Bug 2823941
Change-Id: Iecee3989e5af035264b1ed5c1aa9a8576dd90883
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2372957
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Kstable branch is getting rid of all downstream patches. This also
removes support for NVGPU build as kernel overlays will no longer be
supported.
In order to move towards a uniform out of tree build
system, nvgpu must manage the CONFIGS present in Kconfig itself and stop
relying on Kconfigs.
A new file Makefile.linux.configs is created to house these configs temporarily.
This file is included as part of the linux Makefile. Eventually the plan is to
move towards using Makefile.shared.configs.
This takes us one more step closer to having out of tree module building
for NVGPU internal builds.
With this change, kstable can still go ahead with building extmod builds for NVGPU.
This also allows downstream builds to continue as in-tree builds as long as the
overlays are set for the downstream kernels.
Bug 200617256
Change-Id: I78aae6b02521e2a07e8e74aa401ffdfaf9d8cf7c
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2369209
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Instead of allocating priv data for all external buffers, allocate
only on a demand basis for when compression is requested either in CDE
or via libnvrm_gpu.
This will allow allocators like nvidia-drm to use non-compressed
buffers without needing to avoid the core drm checks.
e.g. drm_gem_prime_import_dev that checks for
if (dma_buf->ops == &drm_gem_prime_dmabuf_ops)"
This patch also gets rid of optimization of dma_buf's attach/detach
calls. Now, nvgpu instead needs to call attach/detach for everytime
the dmabuf fd is imported.
Change-Id: Idefd269b32974106e85ff09e17ebc752b92f830c
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2372213
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Reviewed-by: Sagar Kamble <skamble@nvidia.com>
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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
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
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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>
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
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