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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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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If recovery sequence profiling is enabled skip the debug dump that
happens during an MMU fault. This prevents the debug dump from
dominating the time spent by the recovery sequence. The debug dump
is severly limited in speed by the (lack of) UART bandwidth.
JIRA NVGPU-5606
Change-Id: Ifc7c326d33d9115d58b13c0fa42ec4bb7acb3075
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2382591
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During recovery, we set ch->unserviceable at the end after we preempt
the TSG and reset the engines. It might be too late and user-space
might submit more work to the broken channel which is not desirable.
Move setting this unserviceable flag right at the start
of recovery sequence.
Another thread doing a submit can still read the unserviceable flag
just before it is set here, leaving that submit stuck if recovery
completes before the submit thread advances enough to set up a post
fence visible for other threads. This could be fixed with a big lock
or with a double check at the end of the submit code after the job
data has been made visible.
We still release the fences, semaphore and error notifier wait queues
at the end; so user-space would not trigger channel unbind while
channel is being recovered.
Also, change the handle_mmu_fault APIs to return void as the
debug_dump return value is not used in any of the caller APIs.
JIRA NVGPU-5843
Change-Id: Ib42c2816dd1dca542e4f630805411cab75fad90e
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2385256
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During recovery, we preempt the faulty TSG from PBDMA and engines.
If the TSG preempt on PBDMA times out(timeout = 100ms), the PBDMA
might be hung state. We do not reset the HOST during recovery, so
stuck PBDMAs are unrecoverable.
Abort the recovery and trigger GPU to quiesce as there is no way
back.
Triggering Quiesce from recovery sequence should be fine as the only
redundant operation will be write to FIFO_RUNLIST_PREEMPT register.
The error notifiers will eventually be set by Quiesce thread.
Bug 2768005
JIRA NVGPU-4631
Change-Id: I914b9379aa8e48014e6ddace9abe47180a072863
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2368187
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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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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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TEGRA_VGPU_CMD_GET_ATTRIBUTE
TEGRA_VGPU_CMD_CHANNEL_FREE_GR_PATCH_CTX
TEGRA_VGPU_CMD_CHANNEL_UNMAP_GR_GLOBAL_CTX
TEGRA_VGPU_CMD_CHANNEL_SET_PRIORITY
TEGRA_VGPU_CMD_CHANNEL_SET_RUNLIST_INTERLEAVE
TEGRA_VGPU_CMD_CHANNEL_SET_TIMESLICE
TEGRA_VGPU_CMD_CHANNEL_FREE_HWPM_CTX
The above commands which are not used by clients anymore are being
removed.
Jira GVSCI-5155
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Change-Id: If5eef090308e6471a0e7aadf78878f1ad798ee9a
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2367556
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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Unify the job metadata handling by deleting the parts that have handled
dynamically allocated job structs and fences. Now a channel can be in
one less mode than before which reduces branching in tricky places and
makes the submit/cleanup sequence easier to understand.
While preallocating all the resources upfront may increase average
memory consumption by some kilobytes, users of channels have to supply
the worst case numbers anyway and this preallocation has been already
done on deterministic channels.
Flip the channel_joblist_delete() call in nvgpu_channel_clean_up_jobs()
to be done after nvgpu_channel_free_job(). Deleting from the list (which
is a ringbuffer) makes it possible to reuse the job again, so the job
must be freed before that. The comment about using post_fence is no
longer valid; nvgpu_channel_abort() does not use fences.
This inverse order has not posed problems before because it's been buggy
only for deterministic channels, and such channels do not do the cleanup
asynchronously so no races are possible. With preallocated job list for
all channels, this would have become a problem.
Jira NVGPU-5492
Change-Id: I085066b0c9c2475e38be885a275d7be629725d64
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2346064
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Reviewed-by: Debarshi Dutta <ddutta@nvidia.com>
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GVS: Gerrit_Virtual_Submit
Commit bd1ae5c9e1 ("gpu: nvgpu: fix MISRA 17.7 violations in mm") did
a seemingly harmless looking change in the cmpxchg() wrapper macro to
convert from atomic_compare_exchange_strong() to nvgpu_atomic_cmpxchg().
The latter is ultimately a wrapper for the former but the semantics are
different: the former takes old as a pointer and updates it for the read
value, while the latter takes it as a value and returns the read value.
The commit caused cmpxchg() to always return the old value, so a failing
compare has never been detected in a year and half.
This cmpxchg() is used only in the lockless allocator which is used only
in the fence code in deterministic kernel submits which hasn't been part
of safe code, so the broken code has been basically not used. (The
typecast from an integer pointer to an atomic pointer is a separate
concern.)
Jira NVGPU-5493
Change-Id: I932a69c6c185783c0e514e848e0ee6057ce74888
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2368118
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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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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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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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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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This patch updates nvgpu_assert as macro to print the information
about the calling function. Specifically, to print the function
name and the line number details.
This patch introduces misra violations (misra_c_2012_rule_10_1_violation)
in nvgpu_assert(). However, leaving misra violations unfixed has low
safety impact since misra violations are coming after fatal error is
hit where GPU driver is not expected to be serviceable thereafter.
Further, this patch provides debug benefit in quickly finding the
function that lead to the exit of NvGPU process.
Bug 2964898
Change-Id: Iba85f4a9226742a0bb08b045bcbfa26949bbe746
Signed-off-by: Rajesh Devaraj <rdevaraj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2342086
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Reviewed-by: Ankur Kishore <ankkishore@nvidia.com>
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Add the following gr gops functions:
- enable_gpc_crop_hww
- enable_gpc_zrop_hww
- handle_gpc_crop_hww
- handle_gpc_zrop_hww
- handle_gpc_rrh_hww
These gr gops will be used in nvgpu-next.
Add function: nvgpu_gr_rop_offset to compute rop pri offsets.
Jira: NVGPU-5237
Change-Id: I9e2437c1d2893238b16ec7a134543e20c81b49f7
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2335687
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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
Adjust documentation and validity checks in the fence functions for
simplicity.
Now that the cde code is using user fences cleanly, the
do-nothing-on-null action can cause unintended behaviour in new code
using nvgpu_fence_get and nvgpu_fence_put. It does not make sense to
call these with a null fence, so delete the checks.
Extend the documentation in nvgpu_fence_extract_user() for the os fence
lifetime to give a reason for the dup call.
Make nvgpu_fence_from_semaphore() and nvgpu_fence_from_syncpt() return
void. These fill a previously allocated object; the only failure would
have been a null object, but that never happens and is not acceptable
behaviour for callers so delete these null checks and fix types.
Jira NVGPU-5248
Change-Id: I9f82365d50ab5600374c8f7dd513691eac14a2f1
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2359624
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
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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
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
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GVS: Gerrit_Virtual_Submit
This patch removes the reporting of _ECC_CORRECTED errors which are
not applicable to GV11B. Specifically, this patch removes the code
related to the reporting of the following service IDs:
NVGUARD_SERVICE_IGPU_SM_SWERR_LRF_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_CBU_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_PMU_SWERR_FALCON_DMEM_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_GPCCS_SWERR_FALCON_DMEM_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_FECS_SWERR_FALCON_DMEM_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_GCC_SWERR_L15_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_MMU_SWERR_L1TLB_FA_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_MMU_SWERR_L1TLB_SA_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_HUBMMU_SWERR_L2TLB_SA_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_HUBMMU_SWERR_TLB_SA_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_HUBMMU_SWERR_PTE_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_HUBMMU_SWERR_PDE0_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_ICACHE_L0_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_L1_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_ICACHE_L0_PREDECODE_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_ICACHE_L1_DATA_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_ICACHE_L1_PREDECODE_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_L1_TAG_MISS_FIFO_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_SM_SWERR_L1_TAG_S2R_PIXPRF_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_LTC_SWERR_CACHE_TSTG_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_LTC_SWERR_CACHE_RSTG_ECC_CORRECTED
NVGUARD_SERVICE_IGPU_LTC_SWERR_CACHE_DSTG_BE_ECC_CORRECTED
Bug 200616002
Change-Id: I199c396f9f6a6be007bd6d3c556199b5a73c3c91
Signed-off-by: Rajesh Devaraj <rdevaraj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2349587
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Reviewed-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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GVS: Gerrit_Virtual_Submit
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