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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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>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2367466
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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
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Sami Kiminki <skiminki@nvidia.com>
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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>
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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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>
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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>
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
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GVS: Gerrit_Virtual_Submit
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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
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Remove an ancient piece of code that morphed from a hard coded fault ID
lookup in the original gk20a driver. In the old days there was no top
parsing code, so converting between engine ID and fault ID was done
by a simle function.
This code derived from that function for some reason. However, given
that the HW top table is not actually broken, this code never executes.
The only way this code would execute is if the HW top table reported
that the fault ID for a GRCE engine is 0. But this never happens.
JIRA NVGPU-5420
Change-Id: If8483faa9878f752c29ef6eadc1a56ce1de81942
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2362865
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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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Do the internal job synchronization semaphore and syncpt shim
comparisons with ACQ_CIRC_GEQ instead of ACQ_STRICT_GEQ. The semas and
syncpts naturally wrap, and this matches the ACQ_GEQ of pre-gv11b chips
that the driver assumes.
With the strict comparison that does not use wraparound, waits for
semas/syncpts that have just wrapped back to zero would hang because a
small value is not strictly greater than equal to a value near U32_MAX.
Change-Id: I427bb205a960d5ba3426f228364d96c30278dcaf
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2366823
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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
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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
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For gv11b, priv ring interrupts were not triggered for PLM L2
registers. So, read back was implemented to confirm data written
to L2 registers.
Verified that LTC registers are not PLM protected, and read back
implemented after write is not necessary.
Replace nvgpu_writel_check with nvgpu_writel.
Bug 200625897
Bug 2989973
Jira NVGPU-5490
Change-Id: Ie0815899589c506e13ab2f9342657cb4d68b8fc8
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2363384
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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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