Currently, there are few chip specific erratas present in nvgpu code.
For better traceability of the erratas and corresponding fixes,
introduce flags to indicate existing erratas on a chip. These flags
decide if a corresponding solution is applied to the chip(s).
This patch introduces below functions to handle errata flags:
- nvgpu_init_errata_flags
- nvgpu_set_errata
- nvgpu_is_errata_present
- nvgpu_print_errata_flags
- nvgpu_free_errata_flags
nvgpu_print_errata_flags: print below details of erratas present in chip
1. errata flag name
2. chip where the errata was first discovered
3. short description of the errata
Flags corresponding to erratas present in a chip are set during chip hal
init sequence.
JIRA NVGPU-6510
Change-Id: Id5a8fb627222ac0a585aba071af052950f4de965
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2498095
Reviewed-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-by: Vaibhav Kachore <vkachore@nvidia.com>
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This patch is to disable the clock arbitor for TU104.
TU104 is not a POR for Drive 6.0 so disabling it to easy migration
of clk arb for GA100.
As a first step all the NVRM Clock tests will be skipped by setting
NVGPU_SUPPORT_CLOCK_CONTROLS to false for TU104.
Then clk arbitor will be rewritten for GA100 and enabled back.
This patch implements by adding a new flag NVGPU_CLK_ARB_ENABLED which
holds the status of clk arbitor for each platform and disables them for
TU104
Bug 200699763
Change-Id: I51cd5c7821bdc0b48080c17a70735925b278ddf5
Signed-off-by: absalam <absalam@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2515086
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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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>
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The NEXT bit can remain set for the channel if timeslice expires before
scheduler clears it. Due to this nvgpu fails TSG unbind and in turn
nvrm_gpu fails channel close. In this case, checking the channel hw
state after some time can help see NEXT bit cleared by scheduler.
Reenable the tsg and return -EAGAIN to nvrm_gpu for it to retry again.
Bug 3144960
Change-Id: I35f417f02270e371a4e632986b73a00f8a4f921a
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2468391
Reviewed-by: svc-mobile-cert <svc-mobile-cert@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
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Pascal+ chips do not support updating PC sampling using register
NV_CTXSW_MAIN_IMAGE_PM (Unlike GM20B, bit 6 = PC_SAMPLING is not
present on GP10b, GV11b and TU104). To correct this in NVGPU, we
are setting the set_pc_sampling HAL to NULL.
We need to make sure devtools also does not call into
these APIs. Until the devtools team updates their code, we would
return success(0) from update_pc_sampling API even if the HAL is
set to NULL. Filed http://nvbugs/200671026 for devtools team.
Bug 200604892
Bug 200671026
Change-Id: I6334d4b2a84d7a0f676d7e2faad4befde5f76310
Signed-off-by: tkudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2437002
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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Update nvgpu_gr_zbc as:
struct nvgpu_gr_zbc {
struct nvgpu_mutex zbc_lock; /* Lock to access zbc table */
struct zbc_color_table *zbc_col_tbl; /* SW zbc color table pointer */
struct zbc_depth_table *zbc_dep_tbl; /* SW zbc depth table pointer */
struct zbc_stencil_table *zbc_s_tbl; /* SW zbc stencil table pointer */
u32 min_color_index; /* Minimum valid color table index */
u32 min_depth_index; /* Minimum valid depth table index */
u32 min_stencil_index; /* Minimum valid stencil table index */
u32 max_color_index; /* Maximum valid color table index */
u32 max_depth_index; /* Maximum valid depth table index */
u32 max_stencil_index; /* Maximum valid stencil table index */
u32 max_used_color_index; /* Max used color table index */
u32 max_used_depth_index; /* Max used depth table index */
u32 max_used_stencil_index; /* Max used stencil table index */
};
Add global struct nvgpu_gr_zbc_table_indices
struct nvgpu_gr_zbc_table_indices {
u32 min_color_index;
u32 min_depth_index;
u32 min_stencil_index;
u32 max_color_index;
u32 max_depth_index;
u32 max_stencil_index;
};
Currently, hw zbc table registers are written during both
gr_init_setup_sw() and gr_init_setup_hw().
- Modify nvgpu_gr_zbc_load_default_table() to
nvgpu_gr_zbc_load_default_sw_table() to only update sw copy of zbc table
during gr_init_setup_sw().
- Modify nvgpu_gr_zbc_load_table() to write zbc values stored in sw zbc
table to hw registers.
Re-structure zbc function as per zbc type i.e. color, depth and stencil.
Add gr.zbc.init_table_indices() hal to initialize zbc indices. Valid ZBC
table indices start from 1. HW indices start from 0 for color, depth and
stencil tables. Note that the corresponding format registers follow ZBC
index range starting at 1.
- void (*init_table_indices)(struct gk20a *g,
struct nvgpu_gr_zbc_table_indices *zbc_indices);
- Add corresponding functions for legacy chips
- Add zbc color, depth and stencil table size hw defines
- Remove ltc.zbc_table_size() hal
- Update ltc.set_zbc_s_entry(), ltc.set_zbc_color_entry and
ltc.set_zbc_depth_entry() accordingly.
Bug 3122410
Bug 3122649
Change-Id: Ib799991ad35c6613534c0a6eb07f3bf24e600dc5
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2417620
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Below HALs are implemented in common.gr unit, but they really belong
to common.perf unit since they access registers from perf unit.
gops.gr.init_hwpm_pmm_register()
gops.gr.get_num_hwpm_perfmon()
gops.gr.set_pmm_register()
gops.gr.reset_hwpm_pmm_registers()
Move them to common.perf unit, and update all the code accordingly
gops.perf.init_hwpm_pmm_register()
gops.perf.get_num_hwpm_perfmon()
gops.perf.set_pmm_register()
gops.perf.reset_hwpm_pmm_registers()
Add new HAL gops.gr.get_pm_ctx_buffer_offsets() and set it to
gr_gk20a_get_pm_ctx_buffer_offsets() for all chips.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ib5e84ed5c8b6e72cc6923161e55fc2c3a6a4070e
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2418306
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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gr_gv100_init_hwpm_pmm_register() and gr_gv100_set_pmm_register() right
now assume common chiplet stride for all sys/fbp/gpc and use common API
g->ops.perf.get_pmm_per_chiplet_offset() to get the stride.
Chiplet strides are same for all partitions only by chance, and future
chip might change that.
Hence add and use below 3 separate HALs to get appropriate strides.
g->ops.perf.get_pmmsys_per_chiplet_offset()
g->ops.perf.get_pmmgpc_per_chiplet_offset()
g->ops.perf.get_pmmfbp_per_chiplet_offset()
Also store sys/fbp/gpc perfmon count in struct gk20a after first query
instead of querying them again and again. Querying the counts from HW
is time consuming.
Bug 2510974
Jira NVGPU-5360
Change-Id: I186009221009780d561617c0cd6f535854db585f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2413108
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: svc-mobile-misra <svc-mobile-misra@nvidia.com>
Reviewed-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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Remove current mc hals
- mc.reset()
- mc.enable()
- mc.disable()
- mc.reset_mask()
- mc.reset_engine()
- mc.reset_engine_enable()
Add new mc hals
- mc.enable_units(g, units, enable)
> enable/disable given unit(s)
- mc.enable_dev(g, dev, enable)
> enable/disable engine represented by given device pointer
- mc.enable_devtype(g, devtype)
> enable/disable all engines of given devtype
Move common mc intr functions to common/mc/mc_intr.c.
Add below common mc functions
- nvgpu_mc_reset_units(g, units)
> reset given logical OR of nvgpu unit bitmap
- nvgpu_mc_reset_dev(g, dev)
> reset given single engine via dev
> if engine is graphics, reset gpcs for nvgpu_next
- nvgpu_mc_reset_devtype(g, devtype)
> reset all engines of given devtype
> if devtype is graphics, reset gpcs for nvgpu_next
Bug 200648985
Bug 3109773
Change-Id: Idc67a14a0a7cde83de44fbfbec13007fead3ed5c
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2408523
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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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- 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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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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While booting LS falcons, gr.falcon.bind_instblk gops is
used to bind WPR VA to gr falcon. Only FECS_METHOD must be
used to bind instblks. But at this point FECS falcon is not loaded
and running. Hence FECS_METHOD cannot be used to bind this instblk.
Besides that, this code is not required
for successful falcon boot and functioning of chips other
than gm20b.
JIRA NVGPU-5323
Change-Id: I148ccc77d65d5f01adbba6261369e7a292dccfc3
Signed-off-by: smadhavan <smadhavan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2369736
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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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quad type reg_ops were only needed on Kepler, and not for any other chip
beginning Maxweel.
HAL g->ops.gr.access_smpc_reg() was incorrectly set for Volta and Turing
whereas it was only applicable to Kepler. Delete it.
There is no register in the quad type whitelist since the type itself is
not supported anymore. Remove the empty whitelists for all chips and
also delete below HALs:
g->ops.regops.get_qctl_whitelist()
g->ops.regops.get_qctl_whitelist_count()
hal/regops/regops_gv100.* files are not used anymore. Delete the files
instead of just deleting quad HALs in these files.
Bug 200628391
Change-Id: I4dcc04bef5c24eb4d63d913f492a8c00543163a2
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2366035
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The FIFO pbdma map is an array of bit maps that link PBDMAs to runlists.
This array allows other software to query what PBDMA(s) serves a given
runlist. The PBDMA map is read verbatim from an array of host registers.
These registers are stored in a kmalloc()'ed array.
This causes a problem for the device management code. The device
management initialization executes well before the rest of the FIFO
PBDMA initialization occurs. Thus, if the device management code
queries the PBDMA mapping for a given device/runlist, the mapping has
yet to be populated.
In the next patches in this series the engine management code is subsumed
into the device management code. In other words the device struct is
reused by the engine management and all host SW does is pull pointers to
the host managed devices from the device manager. This means that all
engine initialization that used to be done on top of the device
management needs to move to the device code.
So, long story short, the PBDMA map needs to be read from the registers
directly, instead of an array that gets allocated long after the device
code has run.
This patch removes the pbdma map array, deletes two HALs that managed
that, and instead provides a new HAL to query this map directly from
the registers so that the device code can use it.
JIRA NVGPU-5421
Change-Id: I5966d440903faee640e3b41494d2caf4cd177b6d
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2361134
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GVS: Gerrit_Virtual_Submit
This adds a new device management unit in the common code responsible
for facilitating the parsing of the GPU top device list and providing
that info to other units in nvgpu.
The basic idea is to read this list once from HW and store it in a
set of lists corresponding to each device type (graphics, LCE, etc).
Many of the HALs in top can be deleted and instead implemented using
common code parsing the SW representation.
Every time the driver queries the device list it does so using a
device type and instance ID. This is common code. The HAL is responsible
for populating the device list in such a way that the driver can
query it in a chip agnostic manner.
Also delete some of the unit tests for functions that no longer
exist. This code will require new unit tests in time; those should be
quite simple to write once unit testing is needed.
JIRA NVGPU-5421
Change-Id: Ie41cd255404b90ae0376098a2d6e9f9abdd3f5ea
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2319649
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Add NVGPU_SUPPORT_COMPRESSION to indicate if compression feature is
supported in nvgpu. If not, set cbc.init, cbc.ctrl and
cbc.alloc_comptags hals to NULL.
Add corresponding GPU characteristics flag and IOCTL mapping to sync
compression support status with nvrm_gpu.
JIRA NVGPU-4666
Change-Id: I2e685688ddac592b3bb918ee70c82ea5524d695a
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2338926
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Instead of one HAL op with a boolean flag to decide whether to do one
thing or another entirely different thing, use two separate HAL ops for
filling priv cmd bufs with semaphore wait and semaphore increment
commands. It's already two ops for syncpoints, and explicit commands are
more readable than boolean flags.
Change offset into cmdbuf in sem wait HAL to be relative to the cmdbuf,
so the HAL adds the cmdbuf internal offset to it.
While at it, modify the syncpoint cmdbuf HAL ops' prototypes to be
consistent.
Jira NVGPU-4548
Change-Id: Ibac1fc5fe2ef113e4e16b56358ecfa8904464c82
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2323319
(cherry picked from commit 08c1fa38c0fe4effe6ff7a992af55f46e03e77d0)
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Channel debug_dump hal function does not involve
any register related code.
Move gv11b_channel_debug_dump hal function to
common code nvgpu_channel_info_debug_dump function.
Check gpu hw version to limit instance variables
dump that differs between socs.
Add new hal pointer syncpt_debug_dump for pbdma.
Jira NVGPU-5109
Signed-off-by: Vinod G <vinodg@nvidia.com>
Change-Id: Icfca837ce8e4117387cffa6fadf6c094c7da5946
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Add new hal function
gp10b_gr_intr_handle_class_error.
Update handle_class_error hal function for
gp10b, gv11b and tu104 to
gp10b_gr_intr_handle_class_error from
gm20b_gr_intr_handle_class_error.
gr_trapped_data_mme_pc uses 12 bits from gp10b.
Move gm20b_gr_intr_handle_class_error hal function
to non-fusa section.
Jira NVGPU-4913
Signed-off-by: vinodg <vinodg@nvidia.com>
Change-Id: Ic93013ba43d4bf409527109f2f2d43db11c4238e
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