| Commit message (Collapse) | Author | Age |
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struct nvgpu_semaphore represents (mainly) a threshold value that a sema
at some index will get and struct nvgpu_semaphore_int (aka "hw_sema")
represents the allocation (and write access) of a semaphore index and
the next value that the sema at that index can have. The threshold
object doesn't need a pointer to the sema allocation that is not even
guaranteed to exist for the whole threshold lifetime, so replace the
pointer by the position of the sema in the sema pool.
This requires some modifications to pass a hw sema around explicitly
because it now represents write access more explicitly.
Delete also the index field of semaphore_int because it can be directly
derived from the offset in the sema location and is thus unnecessary.
Jira NVGPU-512
Change-Id: I40be523fd68327e2f9928f10de4f771fe24d49ee
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1658102
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Add IPA to PA translation for GV100 nvlink / pass-through mode
- define platform->phys_addr(g, ipa) method
- call nvgpu_init_soc_vars from nvgpu_tegra_pci_probe
- in nvgpu_init_soc_vars, define set platform->phys_addr to
nvgpu_tegra_hv_ipa_pa, if hypervisor is present.
- in __nvgpu_sgl_phys, use sg_phys, then apply platform->phys_addr
if defined.
- implement IPA to PA translation in nvgpu_tegra_hv_ipa_pa
Bug 200392719
Change-Id: I622049ddc62c2a57a665dd259c1bb4ed3843a537
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1673582
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Add __nvgpu_sgl_phys function that can be used to implement IPA
to PA translation in a subsequent change.
Adapt existing function prototypes to add pointer to gpu context,
as we will need to check if IPA to PA translation is needed.
JIRA EVLR-2442
Bug 200392719
Change-Id: I5a734c958c8277d1bf673c020dafb31263f142d6
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1673142
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ctxsw disable could be called recursively for RM server. Suspend
contexts disables ctxsw at the beginning, then call tsg disable and
preempt. If preempt timeout happens, it goes to recovery path, which
will try to disable ctxsw again. More details on Bug 200331110.
Jira VQRM-2982
Change-Id: I4659c842ae73ed59be51ae65b25366f24abcaf22
Signed-off-by: Shashank Singh <shashsingh@nvidia.com>
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1671716
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Check for syncpt enable before querying for
synpt ro map. Otherwise it is getting result
in kernel crash with syncpt support disabled.
Change-Id: Iaa13d802ec66a368f2bedd2dd1061bae29b4aaa2
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1671652
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Replace the padding in nvgpu_channel_wdt_args with a timeout value in
milliseconds, and add NVGPU_IOCTL_CHANNEL_WDT_FLAG_SET_TIMEOUT to
signify the existence of this new field. When the new flag is included
in the value of wdt_status, the field is used to set a per-channel
timeout to override the per-GPU default.
Add NVGPU_IOCTL_CHANNEL_WDT_FLAG_DISABLE_DUMP to disable the long debug
dump when a timed out channel gets recovered by the watchdog. Printing
the dump to serial console takes easily several seconds. (Note that
there is NVGPU_TIMEOUT_FLAG_DISABLE_DUMP about ctxsw timeout separately
for NVGPU_IOCTL_CHANNEL_SET_TIMEOUT_EX as well.)
The behaviour of NVGPU_IOCTL_CHANNEL_WDT is changed so that either
NVGPU_IOCTL_CHANNEL_ENABLE_WDT or NVGPU_IOCTL_CHANNEL_DISABLE_WDT has to
be set. The old behaviour was that other values were silently ignored.
The usage of the global default debugfs-controlled ch_wdt_timeout_ms is
changed so that its value takes effect only for newly opened channels
instead of in realtime. Also, zero value no longer means that the
watchdog is disabled; there is a separate flag for that after all.
gk20a_fifo_recover_tsg used to ignore the value of "verbose" when no
engines were found. Correct this.
Bug 1982826
Bug 1985845
Jira NVGPU-73
Change-Id: Iea6213a646a66cb7c631ed7d7c91d8c2ba8a92a4
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
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With proper wrap-handling comparisons now supported, it's safe to not
reset a kernel-managed semaphore to 0 when initializing it to be used by
some channel; the value can be left unchanged, so that any pending waits
on other channels for this sema can't get corrupted anymore. This makes
semaphore values very similar to syncpoints, i.e., just monotonically
increasing counters.
Also clear the semaphore sea to values of 0xfffffff0 when allocating it.
This way it takes 16 increments on each sema to wrap over the 32-bit
integer range; such wrapping would eventually happen if the memory was
initialized to zeros, so this way any bugs possibly caused by wrapping
not taken into account would uncover quickly after boot.
Jira NVGPU-514
Change-Id: I93f9b1d32d020a4c23824f5856bc463b1895b99d
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1652087
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Userspace can and should retry vidmem allocations if there are pending
clears still to be executed by the GPU. But this requires the -EAGAIN
to properly propagate back to userspace.
Bug 200378648
Change-Id: Ib930711270439843e043d65c2e87b60612a76239
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1669099
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- Created ops for below boardobj methods to support gp10x & gv10x
branch boardobj changes, and defined methods for gv10x with
postfix _v1 with below names
boardobjgrp_pmucmd_construct_impl
boardobjgrp_pmuset_impl
boardobjgrp_pmugetstatus_impl
is_boardobjgrp_pmucmd_id_valid
- These ops are assigned based on PMU version to respective
chip.
- Modified BOARDOBJGRP_PMU_CMD_GRP_SET_CONSTRUCT &
BOARDOBJGRP_PMU_CMD_GRP_GET_STATUS_CONSTRUCT to support
gp10x & gv10x branch changes
- Updated struct boardobjgrp_pmu_cmd to include members
needed for gv10x boardobj changes
- Created "struct nv_pmu_rpc_struct_board_obj_grp_cmd"
to execute BOARD_OBJ_GRP_CMD using RPC.
- Defined method boardobjgrp_pmucmdsend_rpc() to
send BOARD_OBJ_GRP_CMD to PMU.
Change-Id: If2551bdda80e897e7b21d2966881586f3bbc7a9b
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1656511
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- Added ops "pmu.alloc_super_surface" to create
memory space for pmu super surface
- Defined method nvgpu_pmu_sysmem_surface_alloc()
to allocate pmu super surface memory & assigned
to "pmu.alloc_super_surface" for gv100
- "pmu.alloc_super_surface" set to NULL for gp106
- Memory space of size "struct nv_pmu_super_surface"
is allocated during pmu sw init setup if
"pmu.alloc_super_surface" is not NULL &
free if error occur.
- Added ops "pmu_ver.config_pmu_cmdline_args_super_surface"
to describe PMU super surface details to PMU ucode
as part of pmu command line args command if
"pmu.alloc_super_surface" is not NULL.
- Updated pmu_cmdline_args_v6 to include member
"struct flcn_mem_desc_v0 super_surface"
- Free allocated memory for PMU super surface in
nvgpu_remove_pmu_support() method
- Added "struct nvgpu_mem super_surface_buf" to "nvgpu_pmu" struct
- Created header file "gpmu_super_surf_if.h" to include interface
about pmu super surface, added "struct nv_pmu_super_surface"
to hold super surface members along with rsvd[x] dummy space
to sync members offset with PMU super surface members.
Change-Id: I2b28912bf4d86a8cc72884e3b023f21c73fb3503
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1656571
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This reverts commit 848af2ce6de6140323a6ffe3075bf8021e119434.
This is a revert of a revert, etc, etc. It re-enables IO coherence again.
JIRA EVLR-2333
Change-Id: Ibf97dce2f892e48a1200a06cd38a1c5d9603be04
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1669722
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vserver handles semaphore differently from native, so it needs a
callback to differentiate from native. Also created common function
mc_gk20a_handle_intr_nonstall to handle all nonstall interrupts.
Jira VQRM-2982
Change-Id: I1b3821717a4005ca4bf2a4dac5dcd335872f48f1
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1656753
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This allows moving HAL overrides for vserver out of common
chip specific HAL files into os specific probe code.
Jira VQRM-3070
Change-Id: Icc61aacc03ac7db7a0ea1f6a2dd2b76185c74757
Signed-off-by: Aparna Das <aparnad@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1656752
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/sys/devices/gpu.0/gfxp_wfi_timeout_unit
usec - microseconds
sysclk - gpu clock count
Treat gr_fe_gfxp_wfi_timeout_r as context-switched
register on gv11b.
Set default gfxp_wfi_timeout to 100 usec to match
gp10b at 1GHz.
bug 1888344
Signed-off-by: Kirill Artamonov <kartamonov@nvidia.com>
Change-Id: I7fa64ce6912ae861244856807543b17bd7a26bed
Reviewed-on: https://git-master.nvidia.com/r/1651517
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Actual issue with low frequency is root caused, so reverting this
hack.
Bug 2056266
This reverts commit 9afb74dada5e318ec6b40ff4745e4d4adf8ee8b2.
Change-Id: Iab4f05b4e78f681298b9bf732289de9e2026d6b3
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
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Bug 2046561
Change-Id: I625db1797d699f6e74374535a836ab1c1b0a19ce
Signed-off-by: Deepak Goyal <dgoyal@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1657214
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Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
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This is to resolve memory leak after modifying
tpc_fs_mask sysfs which sets gr.sw_ready to false and
forces gr to re-initialize.
echo 1 > /sys/devices/gpu.0/force_idle
echo 5 > /sys/devices/gpu.0/tpc_fs_mask
echo 0 > /sys/devices/gpu.0/force_idle
Bug 200393029
Change-Id: I76299f53fc87823071c672ec682c3eb51f72f513
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1666018
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Trying to alloc mem for already valid mem will dump warn
stack along with nvgpu warn message for memory leak.
Bug 200393029
Change-Id: I9b5becf898deb47eecd6369c2a97e688caa4660e
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1665377
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PMU ucode records supported feature list for a
particular chip as support mask sent
via PMU_PG_PARAM_CMD_GR_INIT_PARAM.
It then enables selective feature list through
enable mask sent via
PMU_PG_PARAM_CMD_SUB_FEATURE_MASK_UPDATE cmd.
Right now only ELPG state machine mask was enabled.
Only ELPG state machine was getting executed
but other crucial steps in ELPG entry/exit sequence
were getting skipped.
Bug 200392620.
Bug 200296076.
Change-Id: I5e1800980990c146c731537290cb7d4c07e937c3
Signed-off-by: Deepak Goyal <dgoyal@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1665767
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This reverts commit 89fbf39a05483917c0a9f3453fd94c724bc37375.
Bug 2075315
Change-Id: Id34a0376be5160b164931926ec600f77edf69667
Signed-off-by: Timo Alho <talho@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1668487
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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This reverts commit 5a35a95654d561fce09a3b9abf6b82bb7a29d74b.
JIRA EVLR-2333
Change-Id: I923c32496c343d39d34f6d406c38a9f6ce7dc6e0
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1667167
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We right now allocate a nvgpu managed syncpoint in c->sync and share
that with user space
But to avoid conflicts between user space and kernel space increments
allocate a separate "client managed" syncpoint for User space in c->user_sync
Add new API nvgpu_nvhost_get_syncpt_client_managed() to request a client managed
syncpoint from nvhost.
Note that nvhost/nvgpu do not keep track of MAX/threshold value of this syncpoint
Update gk20a_channel_syncpt_create() to receive a flag to indicate whether a
User space syncpoint is required or not
Unset NVGPU_SUPPORT_USER_SYNCPOINT for gp10b since we don't want to allocate
double syncpoints per channel on that platform
For gv11b, once we move to use user space submits, support for c->sync will be
dropped so we keep using only one syncpoint per channel
Bug 200326065
Jira NVGPU-179
Change-Id: I78d94de4276db1c897ea2a4fe4c2db8b2a179722
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
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This reverts commit 0c46f8a5e112c08c172ee2c692832e1753ffbcce.
We should not support tracking of MAX/threshold value for syncpoint allocated
by user space
Hence revert this patch
Bug 200326065
Jira NVGPU-179
Change-Id: I2df8f8c13fdac91c0814b11a2b7dee30153409d4
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1665827
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Bug 200393029
Change-Id: Ic2946958e34bcb9247179fcf2e8735c822155cce
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1665338
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Rajkumar Kasirajan <rkasirajan@nvidia.com>
Reviewed-by: Shreshtha Sahu <ssahu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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The operations in struct nvgpu_sgt_ops have a scatter-gather list (sgl)
argument which is a void pointer. Change the type signatures to take
struct nvgpu_sgl * which is an opaque marker type that makes it more
difficult to pass around wrong arguments, as anything goes for void *.
Explicit types add also self-documentation to the code.
For some added safety, some explicit type casts are now required in
implementors of the nvgpu_sgt_ops interface when converting between the
general nvgpu_sgl type and implementation-specific types. This is not
purely a bad thing because the casts explain clearly where type
conversions are happening.
Jira NVGPU-30
Jira NVGPU-52
Jira NVGPU-305
Change-Id: Ic64eed6d2d39ca5786e62b172ddb7133af16817a
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1643555
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Also revert other changes related to IO coherence. This may be the
culprit in a recent dev-kernel lockdown.
Bug 2070609
Change-Id: Ida178aef161fadbc6db9512521ea51c702c1564b
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1665914
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Srikar Srimath Tirumala <srikars@nvidia.com>
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For some reason the GPU does not like the mappings created by the
DMA API for coherent sysmem buffers. But a plain vmap() does seem
to work. To work around this, when we are using coherent sysmem,
force the NO_KERNEL_MAPPING flag to on and then make a vmap() in
the nvgpu DMA API wrapper. The rest of the driver will be none the
wiser but will work as expected.
This problem is not understood yet but it is being tracked in bug
2040115. Once this bug is understood this WAR should either be
determined as necessary or reverted with an appropriate fix.
Bug 2040115
JIRA EVLR-2333
Change-Id: Idae7a0c92441f0309df572ac18697af49bb6ff2b
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1657568
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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When using a coherent DMA API wee must make sure to program
any aperture fields with the coherent aperture setting. To
do this the nvgpu_aperture_mask() function was modified to
take a third aperture mask argument, a coherent setting, so
that code can use this function to generate coherent aperture
settings.
The aperture choice is some what tricky: the default version
of this function uses the state of the DMA API to determine
what aperture to use for SYSMEM: either coherent or
non-coherent internally. Thus a kernel user need only specify
the normal nvgpu_mem struct and the correct mask should be
chosen. Due to many uses of nvgpu_mem structs not created
directly from the DMA API wrapper it's easier to translate
SYSMEM to SYSMEM_COH after creation.
However, the GMMU mapping code, will encounter buffers from
userspace with difference coerency attributes than the DMA
API. Thus the __nvgpu_aperture_mask() really respects the
aperture setting passed in regardless of the DMA API state.
This aperture setting is pulled from NVGPU_VM_MAP_IO_COHERENT
since this is either passed in from userspace or set by the
kernel when using coherent DMA. The aperture field in attrs
is upgraded to coh if this flag is set.
This change also adds a coherent sysmem mask everywhere that
it can. There's a couple places that do not have a coherent
register field defined yet. These need to eventually be
defined and added.
Lastly the aperture mask code has been mvoed from the Linux
vm.c code to the general vm.c code since this function has
no Linux dependencies.
Note: depends on https://git-master.nvidia.com/r/1664536 for
new register fields.
JIRA EVLR-2333
Change-Id: I4b347911ecb7c511738563fe6c34d0e6aa380d71
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1655220
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Miscellaneous fixes for the sched code:
1. Make sure get_addr() on an SGL respects the use phys flag since
the runlist needs physical addresses when NVLINK is in use.
2. Ensure the runlist is contiguous. Since the runlist memory is
not virtually addressed the buffer must be physically contiguous.
3. Use all 64 bits of the runlist address in the runlist base addr
register (and related fields).
JIRA EVLR-2333
Change-Id: Id4fd5ba4665d3e35ff1d6ca78dea6b58894a9a9a
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1654667
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Thomas Fleury <tfleury@nvidia.com>
Tested-by: Thomas Fleury <tfleury@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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This patch does a couple of things. First it renames
NVGPU_DMA_COHERENT to NVGPU_USE_COHERENT_SYSMEM since the former
is somewhat ambiguous in meaning. The latter clearly states what
must happen: nvgpu needs to treat sysmem as coherent. This flag
does simply follow the state of the DMA API but there's no reason
to expect a casual reader of the code to know that when the DMA
API is coherent nvgpu must treat sysmem as coherent.
One thing to note though: when the dGPU is using PCIe and the
PCIe controller is coherent, it doesn't actually matter what we
do. However, we use this flag for determining how to make CPU
mappings in nvgpu_mem_begin() so this flag is still relevant for
the CPU side of things.
Next this patch adds a check in the core kernel GMMU mapping
routine to make sure that when the NVGPU_USE_COHERENT_SYSMEM flag
is set that the IO coherent flag is passed into the mapping code.
This is the primary fix that made NVLINK start working.
Finally the setting of the USE_COHERENT_SYSMEM flag and the
NVGPU_SUPPORT_IO_COHERENCE flag were set both for PCIe and for
iGPUs. The iGPU also must correctly match it's CPU mappings and
GPU mappings for proper operation.
JIRA EVLR-2333
Change-Id: Icd5f07167c9f48a0a2e8493e34c9cc6238e56907
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1654519
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Most of files have been moved out of linux folder. More code could be
common as halifying going on.
Jira EVLR-2364
Change-Id: Ia9dbdbc82f45ceefe5c788eac7517000cd455d5e
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649947
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Defined powergate mode in tegra_vgpu.h.
Jira EVLR-2364
Change-Id: Id7dcaeffcf0dd8394b4eac6601152720fa382e8c
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649946
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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It's the first step to avoid including uapi headers.
Jira EVLR-2364
Change-Id: Iea572d64a7076bcd3fd1e7196c197c952c04595b
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649945
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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The implementation is os specific for now.
Jira EVLR-2364
Change-Id: I8ac390b056aa9ca5b5d4ab2ac4dbc06f6689f4a4
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649944
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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vgpu.c will keep common code whil vgpu_linux.c is linux specific.
Jira EVLR-2364
Change-Id: Ice9782fa96c256f1b70320886d3720ab0db26244
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649943
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Move to use OS agnostic function nvgpu_mem_get_addr().
Jira EVLR-2364
Change-Id: I2f38567cae35c5d410f082785213af6052150c27
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649942
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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It helps code be more portable.
Jira EVLR-2364
Change-Id: I0cc1fa739d7884d3c863975f08b3b592acd34613
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649941
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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It's part of effort of unify vgpu.
Jira EVLR-2364
Change-Id: Ieef95fbf1c4bdcec548e4dc741d771a74ebefb9b
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649940
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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It's already included indirectly.
Jira EVLR-2364
Change-Id: I9ad134b82a24ffd84358d957ee9b56e1ce4558ba
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649939
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Currently vgpu always disable smmu.
Jira EVLR-2364
Change-Id: I54dfa5ff6bfda56975617ec526d80359bf3cf672
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649938
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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The function is not used anymore.
Change-Id: Iad99811e2d356362d16b961464729f5169c36f28
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649937
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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tegra_vgpu.h is os agnostic, so move it out of linux folder.
Jira EVLR-2364
Change-Id: Ibbe8923f7af036b3b6730f682f5243ca73810f7b
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649936
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Added vgpu_ivm_*() functions to be used by os agnostic code.
Jira EVLR-2364
Change-Id: I4a2baebcff9723950c4fba99d0879a0c61e3e3a2
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1649935
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Device tree node was not used by the function, so remove it to make the
function more common.
Jira EVLR-2364
Change-Id: I34b143a10c021030a1e94f019081b352f72a51bf
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1647032
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Nirav Patel <nipatel@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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PMU ucode is updated to include engine ID in the
PG messages sent from PMU to gpu driver.
Right now we were getting random values from the PMU ucode
as it uses ELPG msg structure without initializing.
It further causes incorrect values of ELPG state variables
maintained in the nvgpu driver.
PMU ucode update:
https://git-master.nvidia.com/r/1661642
Bug 2046561
Change-Id: Iec1ba87b8d0c0c7ac7423f782fd5a0333a4b5842
Signed-off-by: Deepak Goyal <dgoyal@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1661653
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-by: Mahantesh Kumbar <mkumbar@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Add support for user fence updates i.e. increments added by user space
in pushbuffer directly
Add a submit IOCTL flag NVGPU_SUBMIT_GPFIFO_FLAGS_USER_FENCE_UPDATE to indicate
if User has added increments in pushbuffer
If yes, number_of_increment value is received in fence.value from User
If User is adding increments in the pushbuffer then we don't need to do any job
tracking in the kernel
So fail the submit if we evaluate need_job_tracking to true and
FLAGS_USER_FENCE_UPDATE is set
User is responsible for ensuring all pre-requisites for a fast submit and to
prevent kernel job tracking
Since user space adds increments in the pushbuffer, just handle the threshold
book keeping in kernel.
Bug 200326065
Jira NVGPU-179
Change-Id: Ic0f0b1aa69e3389a4c3305fb6a559c5113719e0f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1661854
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Add new user API NVGPU_IOCTL_CHANNEL_GET_USER_SYNCPOINT which will expose
per-channel allocated syncpoint to user space
API will also return current value of the syncpoint
On supported platforms, this API will also return a RW semaphore address
(corresponding to syncpoint shim) to user space
Add new characteristics flag NVGPU_GPU_FLAGS_SUPPORT_USER_SYNCPOINT to indicate
support for this new API
Add new flag NVGPU_SUPPORT_USER_SYNCPOINT for use of core driver
Set this flag for GV11B and GP10B for now
Add a new API (*syncpt_address) in struct gk20a_channel_sync to get GPU_VA
address of a syncpoint
Add new API nvgpu_nvhost_syncpt_read_maxval() which will read and return MAX
value of syncpoint
Bug 200326065
Jira NVGPU-179
Change-Id: I9da6f17b85996f4fc6731c0bf94fca6f3181c3e0
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1658009
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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The following changes implements the initial (as per bringup) nvlink driver.
(1) SW initialization of nvlink core driver structures
(2) Nvlink interrupt handling
(3) Device initialization (IOCTRL, pll and clocks, device level intr)
(4) Falcon support for minion
(5) Minion load and bootstrapping
(6) Link initialization and DL PROD settings
(7) Device Interface init (and switching HSHUB to nvlink)
(8) HS set/get mode for both link and sublink
(9) Topology discovery and VBIOS settings.
(10) Ensures we get physical contiguous memory when Nvlink is enabled
This driver includes a hack for the current single dev/single link limitation.
JIRA: EVLR-2331
JIRA: EVLR-2330
JIRA: EVLR-2329
JIRA: EVLR-2328
Change-Id: Idca9a819179376cc655784482b24b575a52fa9e5
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1656790
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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This function is used in gk20a.c to handle catastrophic error conditions
but is Linux specific. As such, implement an abstraction for this in
driver_common.c and expose the API in nvgpu_common.h.
JIRA NVGPU-525
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Change-Id: Ie2e417d30af5ff7db76f4d2d5b97ec96c386bd04
Reviewed-on: https://git-master.nvidia.com/r/1662543
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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These two files (common/mm/vm.c and common/as.c) both used functions
defined in log2.h but do not include log2.h. This went unnoticed in
nvgpu on Tegra, but are an issue for POSIX.
JIRA NVGPU-525
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Change-Id: I09250f6928f5cb26bb6b7fbdae13cb703bd8f27b
Reviewed-on: https://git-master.nvidia.com/r/1662541
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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