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>
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GVS: Gerrit_Virtual_Submit
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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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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>
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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>
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The driver configures the sm hww global, warp ESR report masks during poweron
as part of gops_gr.gr_init_support. However, during golden context init, these
are overwritten with default entries from sw_ctx_load list; this leaves the
report masks in a state inconsistent with the driver expectation.
The driver should configure the sm hww warp, global ESR report masks during
golden context init and not before it; Hence, move set_hww_esr_report_mask from
power-on path to golden context init.
In addition, update set_hww_esr_report_mask to do RMW, so as to retain the
values loaded from sw_ctx_load list.
Update global ESR report mask to enable all exceptions.
Bug 3029888
Bug 2997718
Change-Id: Id7ad4cff5409982143f49695c95c5e1d1c9fdec9
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
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GVS: Gerrit_Virtual_Submit
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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GVS: Gerrit_Virtual_Submit
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>
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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>
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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>
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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>
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On simulation platforms the netlist data is fetched from fmodel chiplib.
The chiplib has been updated to include certain pm, perf registers which
were already present in the netimage.
Update sim netlist parsing to fetch the following list of registers:
- LIST_pm_ctx_reg_PPC
- LIST_nv_perf_ctx_reg_SYS
- LIST_nv_perf_sysrouter_ctx_regs
- LIST_nv_perf_pma_ctx_regs
- LIST_nv_perf_fbp_ctx_regs
- LIST_nv_perf_fbprouter_ctx_regs
- LIST_nv_perf_ctx_reg_GPC
- LIST_nv_perf_gpcrouter_ctx_regs
- LIST_pm_ltc_ctx_regs
Bug 2916121
Change-Id: Ida8e02f97f9ae3fc3d89ee6c9e890fe5e441aaa0
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2369866
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GVS: Gerrit_Virtual_Submit
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>
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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>
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