Existing implementation of GR de-init doesn't account for multiple
instances of struct nvgpu_gr. As a fix, below changes are added.
1) nvgpu_gr_free is unified for VGPU as well as native.
2) All the GR instances are freed.
3) Appropriate NULL checks are added when freeing GR memories.
4) 2D, 3D, I2M and ZBC etc are explicitely disabled when MIG is set.
5) In ioctl_ctrl, checks are added to not return error when zbc is NULL
for VGPU as requests are rerouted to RMserver.
Jira NVGPU-6920
Change-Id: Icaa40f88f523c2cdbfe3a4fd6a55681ea7a83d12
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2578500
Reviewed-by: svc_kernel_abi <svc_kernel_abi@nvidia.com>
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: Dinesh T <dt@nvidia.com>
Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
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Tested-by: Antony Clince Alex <aalex@nvidia.com>
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GVS: Gerrit_Virtual_Submit
At present, there is an inconsistency in the order in which
gpc_tpc masks are reported to the userspace. Both gpc and
tpc masks are reported using physical-ids. However, the
gpc_tpc_masks array is ordered by logical gpc-ids and
not physical-ids. This creates a mismatch between the gpc
reported as enabled in the gpc_mask and its corresponding
gpc_tpc_mask.
Introduce field "gpc_tpc_mask_physical" which stores the
gpc_tpc_masks in physical order and update
NVGPU_GPU_IOCTL_GET_TPC_MASKS to return this field.
Bug 200665942
Change-Id: I63aa83414a59676b7e7d36b6deb527e2f3c04cff
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2531114
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Added below IVC commands to support VAB on HV.
* TEGRA_VGPU_CMD_FB_VAB_RESERVE - Enable & Configure VAB tracking
* TEGRA_VGPU_CMD_FB_VAB_FLUSH_STATE - Dump VAB to user buffer
* TEGRA_VGPU_CMD_FB_VAB_RELEASE - Disable VAB tracking
Also set HAL and enable VAB for ga10b vgpu.
Jira GVSCI-4619
Change-Id: Id7564611c24740ab8613e4baa420ee58fb52759a
Signed-off-by: Sagar Kadamati <skadamati@nvidia.com>
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2507268
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On all chips except ga10b, the number of ROP, L2 units per FBP
were in sync, hence, their FS masks could be represented by a single
fuse register NV_FUSE_STATUS_OPT_ROP_L2_FBP. However, on ga10b, the ROP
unit was moved out from FBP to GPC and it no longer matches the number
of L2 units, so the previous fuse register was broken into two -
NV_FUSE_CTRL_OPT_LTC_FBP, NV_FUSE_CTRL_OPT_ROP_GPC.
At present, the driver reads the NV_FUSE_CTRL_OPT_ROP_GPC register
and reports incorrect L2 mask. Introduce HAL function
ga10b_fuse_status_opt_l2_fbp to fix this.
In addition, rename fields and functions to exclusively fetch L2 masks,
this should help accommadate ga10b and future chips in which L2 and ROP units
are not in same. As part of this, the following functions and
fields have been renamed.
- nvgpu_fbp_get_rop_l2_en_mask => nvgpu_fbp_get_l2_en_mask
- fuse.fuse_status_opt_rop_l2_fbp => fuse.fuse_status_opt_l2_fbp
- nvgpu_fbp.fbp_rop_l2_en_mask => nvgpu_fbp.fbp_l2_en_mask
The HAL ga10b_fuse_status_opt_rop_gpc is removed as rop mask is not
used anywhere in the driver nor exposed to userspace.
Bug 200737717
Bug 200747149
Change-Id: If40fe7ecd1f47c23f7683369a60d8dd686590ca4
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2551998
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1) Expose logical mask instead of physical mask when MIG is enabled.
For legacy, NvGpu expose physical mask.
2) Added fb related info in struct nvgpu_gpu_instance().
4) Added utility api to get the logical id for a given local id
nvgpu_grmgr_get_gr_gpc_logical_id()
5) Added grmgr api to get max_gpc_count
nvgpu_grmgr_get_max_gpc_count().
5) Added grmgr's fbp api to get num_fbps and its enable masks.
nvgpu_grmgr_get_num_fbps()
nvgpu_grmgr_get_fbp_en_mask()
nvgpu_grmgr_get_fbp_rop_l2_en_mask()
6) Used grmgr's fbp apis in ioctl_ctrl.c
7) Moved fbp_init_support() in nvgpu_early_init()
8) Added nvgpu_assert handling in grmgr.c
9) Added vgpu hal for get_max_gpc_count().
JIRA NVGPU-5656
Change-Id: I90ac2ad99be608001e7d5d754f6242ad26c70cdb
Signed-off-by: Lakshmanan M <lm@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2538508
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Reviewed-by: Dinesh T <dt@nvidia.com>
Reviewed-by: Rajesh Devaraj <rdevaraj@nvidia.com>
Reviewed-by: Vaibhav Kachore <vkachore@nvidia.com>
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GVS: Gerrit_Virtual_Submit
HAL .exec_regops used to first validate regops then execute it, now
moving it to only execute the regops.
- It helps B0CC on HV. On server side it does not track profiler object,
but regops validation uses the profiler, so moving validation to client
side.
- The change also remove ctx_buffer_offset checking in
validate_reg_op_offset. The offset already checked again whitelists
which have be verified when update whitelist. Also vgpu does not have
information of ctx and golden image.
- Added function nvgpu_regops_exec to cover both regops validation and
execution.
Jira GVSCI-10351
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Change-Id: I434e027290e263a8a64a25a55500f7294038c9c4
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2534252
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GVS: Gerrit_Virtual_Submit
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Update the nvgpu_runlist_update_for_channel() function:
- Rename it to nvgpu_runlist_update()
- Have it take a pointer to the runlist to update instead
of a runlist ID. For the most part this makes the code
better but there's a few places where it's worse (for
now).
This starts the slow and painful process of moving away from
the non-runlist code using runlist IDs in many places it should
not.
Most of this patch is just fixing compilation problems with
the minor header updates.
JIRA NVGPU-6425
Change-Id: Id9885fe655d1d750625a1c8aceda9e67a2cbdb7a
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2470304
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
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GVS: Gerrit_Virtual_Submit
Rename struct nvgpu_runlist_info to struct nvgpu_runlist; the
info is not necessary. struct nvgpu_runlist is soon to be a
first class object among the nvgpu object model.
Also rename the fields runlist_info and active_runlist_info to
simply runlists and active_runlists respectively. Again the info
text is just not necessary and somewhat misleading. These structs
_are_ the runlist representations in SW; they are not merely
informational.
Also add an rl_dbg() macro to print debug info specific to
runlist management and some debug prints specifying the runlist
topology for the running chip.
Change-Id: Id9fcbdd1a7227cb5f8c75cca4abbff94fe048e49
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2470303
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Add gv11b and tu104 HALs to get allowed HWPM resource register ranges,
offsets, and stride meta data.
Add new enum nvgpu_pm_resource_hwpm_register_type for HWPM register
type. Add new struct nvgpu_pm_resource_register_range_map to store all
the register ranges for HWPM resources. Add pointer of map in struct
nvgpu_profiler_object along with map entry count.
Add new API nvgpu_profiler_build_regops_allowlist() to build the regops
allowlist dynamically while binding the resources. Map entry count is
received with get_pm_resource_register_range_map_entry_count() and only
those resource ranges are added for which resource is reserved by
profiler object.
Add nvgpu_profiler_destroy_regops_allowlist() to destroy the allowlist
while unbinding the resources.
Add static functions allowlist_range_search() to search a register
offset in HWPM resource ranges. Add another static function
allowlist_offset_search() to search the offset in per-resource offset
list.
Add nvgpu_profiler_validate_regops_allowlist() that accepts an offset
value, checks if it is in allowed ranges using allowlist_range_search()
and then checks if offset is in allowlist using allowlist_offset_search().
Update gops.regops.exec_regops() to receive profiler object pointer as
a parameter.
Invoke nvgpu_profiler_validate_regops_allowlist() from
validate_reg_ops() if prof pointer is not-null. This will be true only
for new profiler stack and not legacy profilers.
In gr_exec_ctx_ops(), skip regops execution if offset is invalid.
Bug 2510974
Jira NVGPU-5360
Change-Id: I40acb91cc37508629c83106ea15b062250bba473
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2460001
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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GVS: Gerrit_Virtual_Submit
By always mapping gmmu kernel page using 4kB page, it'll be consistent
with native nvgpu driver. It's a workaround for enabling 64KB os kernel
page support.
In long term solution, GMMU_PAGE_SIZE_KERNEL will be os kernel page
size, and function nvgpu_gmmu_update_page_table will choose big page or
small page by comparing the size of GMMU_PAGE_SIZE_KERNEL with the size
of small or big pages. Regardingly vgpu will choose kernel page size by
comparing the size too when send map commands to server.
Bug 3015296
Bug 3015296
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Change-Id: I5d25280a9410da3ef628e5914ea962a76b102273
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2437193
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: svc-mobile-misra <svc-mobile-misra@nvidia.com>
Reviewed-by: svc-mobile-cert <svc-mobile-cert@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
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GVS: Gerrit_Virtual_Submit
The simulator ring buffer DMA interface supports buffers of the following sizes:
4, 8, 12 and 16K. At present, it is configured to 4K and it happens to match
with the kernel PAGE_SIZE, which is used to wrap back the GET/PUT pointers once
4K is reached. However, this is not always true; for instance, take 64K pages.
Hence, replace PAGE_SIZE with SIM_BFR_SIZE.
Introduce macro NVGPU_CPU_PAGE_SIZE which aliases to PAGE_SIZE and replace
latter with former.
Bug 200658101
Jira NVGPU-6018
Change-Id: I83cc62b87291734015c51f3e5a98173549e065de
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2420728
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common.gr unit exports a separate API nvgpu_gr_prepare_sw to
initialize some SW pieces required for nvgpu_gr_enable_hw().
A separate API is really unnecessary since same initialization
can be performed in nvgpu_gr_alloc().
Remove nvgpu_gr_prepare_sw() and HAL gops.gr.gr_prepare_sw().
Initialize falcon and interrupt structures in loop from
nvgpu_gr_alloc().
Move nvgpu_netlist_init_ctx_vars() from nvgpu_gr_prepare_sw() to
common init path since netlist parsing need not be done from
common.gr unit. It just needs to happen before nvgpu_gr_enable_hw().
Also, trigger nvgpu_gr_free() from gr_remove_support() instead
of OS specific paths. Also remove nvgpu_gr_free() calls from
probe error paths since nvgpu_gr_alloc is no longer called in
probe path.
Move interrupt and falcon data structure free calls to nvgpu_gr_free().
Also remove corresponding unit testing code that tests
nvgpu_gr_prepare_sw() specifically.
Update some unit tests to initialize ecc counters and netlist.
Disable some unit tests that fail for reasons unknown.
Jira NVGPU-5648
Change-Id: I82ec8160f76530bc40e0c11a9f26ba1c8f9cf643
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2400166
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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>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2319895
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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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Reviewed-by: Lakshmanan M <lm@nvidia.com>
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GVS: Gerrit_Virtual_Submit
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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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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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Currently the vGPU engine management rewrites a lot of the common
device agnostic engine management code.
With the new top HAL parsing one device at a time, it is now more
easily possible to tie the vGPU into the new common device framework
by implementing the top HAL but with the vGPU engine list backend.
This lets the vGPU inherit all the common engine and device
management code. By doing so the vGPU HAL need only implement a
trivial and simple HAL.
This also gets us a step closer to merging all of the CE init
code: logically it just iterates through all CE engines whatever
they may be. The only reason this differs between chips is because
of the swap from CE0-2 to LCEs in the Pascal generation. This could
be abstracted by the unit code easily enough.
Also, the pbdma_id for each engine has to be added to the device
struct. Eventually this was going to happen anyway, since the
device struct will soon replace the nvgpu_engine_info struct.
It's a little bit of an abuse but might be worth it long term. If
not, it should not be difficult to replace uses of dev->pbdma_id
with a proper lookup of PBDMA ID based on the device info.
JIRA NVGPU-5421
Change-Id: Ie8dcd3b0150184d58ca0f78940c2e7ca72994e64
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2351877
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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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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
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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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
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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