Currently all the global contex buffers are mapped into each graphics
context. Move all the mapping/unmapping support to gr/ctx unit since
all the mappings are owned by context itself
Add nvgpu_gr_ctx_map_global_ctx_buffers() that maps all the global
context buffers into given gr_ctx
Add nvgpu_gr_ctx_get_global_ctx_va() that returns VA of the mapping
for requested index
Remove g->ops.gr.map_global_ctx_buffers() since it is no longer
required. Also remove below APIs
gr_gk20a_map_global_ctx_buffers()
gr_gk20a_unmap_global_ctx_buffers()
gr_tu104_map_global_ctx_buffers()
Remove global_ctx_buffer_size from nvgpu_gr_ctx since it is no
longer used
Jira NVGPU-1527
Change-Id: Ic185c03757706171db0f5a925e13a118ebbdeb48
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1987739
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Add new unit common/gr/ctx.c to manage GR context
This unit provides interfaces to allocate/free/map/unmap GR context,
patch context, pm context, ctxsw {preempt/spill/betacb/pagepool/rtvcb}
buffers.
It also provides APIs to set size of above buffers
Add new header file include/nvgpu/gr/ctx.h to declare all the interfaces.
Move nvgpu_gr_ctx, patch_desc, pm_ctx_desc, zcull_ctx_desc structures
to this unit
Add new structure nvgpu_gr_ctx_desc to hold context description
parameters. For now we add sizes of all the buffers here.
Add this structure to gr_gk20a for global reference
Remove gr_gp10b_alloc_buffer() since it is no longer used
Rename g->ops.gr.alloc_gfxp_rtv_cb() to g->ops.gr.init_gfxp_rtv_cb()
since this HAL now only sets the size of rtvcb ctxsw buffer
Remove gr->ctx_vars.buffer_size and gr->ctx_vars.buffer_total_size
since they were redundant. We already have gr->ctx_vars.golden_image_size
to denote golden image size
Jira NVGPU-1527
Change-Id: I8847b347f80235209dd5e28d979e79984ab85408
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1987702
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Add separate new unit gr/ctxsw_prog that provides interface to access
h/w header files hw_ctxsw_prog_*.h
Add below chip specific files that access above h/w unit and provide
interface through g->ops.gr.ctxsw_prog.*() HAL for rest of the units
common/gr/ctxsw_prog/ctxsw_prog_gm20b.c
common/gr/ctxsw_prog/ctxsw_prog_gp10b.c
common/gr/ctxsw_prog/ctxsw_prog_gv11b.c
Remove all the h/w header includes from rest of the units and code.
Remove direct calls to h/w headers ctxsw_prog_*() and use HALs
g->ops.gr.ctxsw_prog.*() instead
In gr_gk20a_find_priv_offset_in_ext_buffer(), h/w header
ctxsw_prog_extended_num_smpc_quadrants_v() is only defined on gk20a
And since we don't support gk20a remove corresponding code
Add missing h/w header ctxsw_prog_main_image_pm_mode_ctxsw_f() for
some chips
Add new h/w header ctxsw_prog_gpccs_header_stride_v()
Jira NVGPU-1526
Change-Id: I170f5c0da26ada833f94f5479ff299c0db56a732
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1966111
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MISRA Rule 10.4 only allows the usage of arithmetic operations on
operands of the same essential type category.
Adding "U" at the end of the integer literals to have same type of
operands when an arithmetic operation is performed.
This fixes violations where an arithmetic operation is performed on
signed and unsigned int types.
JIRA NVGPU-992
Change-Id: I4f2d2b960b705690d5d23d2945816fd8f3f8fb75
Signed-off-by: Sai Nikhil <snikhil@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1831885
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Adeel Raza <araza@nvidia.com>
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MISRA rules 8.8 and 8.10 makes it mandatory to use static storage
modifier for functions with internal linkage. This patch will fix
the violations by adding the storage modifier.
JIRA NVGPU-884
JIRA NVGPU-889
Change-Id: I5a82d9e6110b422e6bc7686fccc7d6632dffecac
Signed-off-by: Srirangan Madhavan <smadhavan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1937814
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MISRA rule 14.4 doesn't allow the usage of non-boolean variable as
boolean in the controlling expression of an if statement or an
iteration statement.
Fix violations where a non-boolean variable is used as a boolean in the
controlling expression of if and loop statements.
JIRA NVGPU-1022
Change-Id: I957f8ca1fa0eb00928c476960da1e6e420781c09
Signed-off-by: Amurthyreddy <amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1941002
GVS: Gerrit_Virtual_Submit
Reviewed-by: Adeel Raza <araza@nvidia.com>
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MISRA rule 14.4 doesn't allow the usage of integer types as booleans
in the controlling expression of an if statement or an iteration
statement.
Fix violations where the integer variables err, ret, status are used
as booleans in the controlling expression of if and loop statements.
JIRA NVGPU-1019
Change-Id: I8c9ad786a741b78293d0ebc4e1c33d4d0fc8f9b4
Signed-off-by: Amurthyreddy <amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1921260
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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The graphics subctx header object is nothing but memory. Drop the
dependency to gr header file in the channel header file and substitute
struct nvgpu_mem for struct ctx_header_desc.
Jira NVGPU-967
Change-Id: Ic3976391016c42d2ada4aac3e0851a1222244ce9
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1807370
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Enable replayable fault only for contexts where they are requested.
This required moving the code to initialize subcontexts to happen
later.
Fix signedness issues in definition of flags.
JIRA NVGPU-714
Change-Id: I472004e13b1ea46c1bd202f9b12d2ce221b756f9
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1773262
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Now that GR buffers always have a kernel mapping, remove the unnecessary
calls to nvgpu_mem_begin() and nvgpu_mem_end() on these buffers:
- global ctx buffer mem in gr
- gr ctx mem in a tsg
- patch ctx mem in a gr ctx
- pm ctx mem in a gr ctx
- ctx_header mem in a channel (subctx header)
Change-Id: Id2a8ad108aef8db8b16dce5bae8003bbcd3b23e4
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1760599
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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PMU instance block layout is not getting
populated with subctx pdb info as max_subctx_count is
0x0 and is getting initialized after PMU instance block
initialization gets completed.
Therefore initializing max_subctx_count before using it.
For Volta, FECS can bind itself with the PMU instance
only if SC PDB info is populated.
Bug 2051863
Bug 200392620
Change-Id: Id4fc26502e189c15cb57cb36cc09387dad773dc5
Signed-off-by: Deepak Goyal <dgoyal@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1666585
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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>
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
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Updated subctx pdb info for all instblks created.
Earlier subctx pdb info was getting updated during instblk
commit. But some instblks like pmu instblk are never committed.
Missing subctx pdb info in instblk is creating issues accessing
subctx info. So, by filling subctx pdb info during instblk
creation fixed all these issues.
Also as part of re-org of the function gv11b_init_subcontext_pdb,
moved setting subctx info in ram_in_engine_wfi_veid_w() to
channel_gv11b_setup_ramfc.
Bug 2051863
Change-Id: Ida96118e8f86b638fa6a8586d026ad2617ebbf64
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1654678
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Lots of code paths were split to T19x specific code paths and structs
due to split repository. Now that repositories are merged, fold all of
them back to main code paths and structs and remove the T19x specific
Kconfig flag.
Change-Id: Id0d17a5f0610fc0b49f51ab6664e716dc8b222b6
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1640606
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Changes to enable 64 subcontexts: 1 SYNC + 63 ASYNC
Currently all subcontexts with in a tsg can have only
single address space.
Add support for NVGPU_TSG_IOCTL_BIND_CHANNEL_EX for
selecting subctx id by client.
Bug 1842197
Change-Id: Icf56a41303bd1ad7fc6f2a6fbc691bb7b4a01d22
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: https://git-master/r/1511145
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
Without non-cacheable, gpu filled subcontext data not visible
to cpu without additional l2 flush. Similarly, there will be issues
where cpu updates to subcontext header will not visible to gpu without
additional l2 flush.
Making subcontext header mapping non-cacheable fixes this issue.
Bug 1937331
Change-Id: I8e25b7cac165e7481eec7c9f1f93bc7992183c46
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: http://git-master/r/1505283
Reviewed-by: Alex Waterman <alexw@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Defined function to get max number of subcontexs
supported and used it where max subcontext count required.
JIRA GV11B-23
Change-Id: I4f6307162486bab1e91cbf66abfee7763c70fe7b
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: http://git-master/r/1318146
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
gk20a_err() and gk20a_warn() require a struct device pointer,
which is not portable across operating systems. The new nvgpu_err()
and nvgpu_warn() macros take struct gk20a pointer. Convert code
to use the more portable macros.
JIRA NVGPU-16
Change-Id: I8c0d8944f625e3c5b16a9f5a2a59d95a680f4e55
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1459822
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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Similar HW header update as has been done for all the other chips.
HW header files are located under:
drivers/gpu/nvgpu/include/nvgpu/hw/gv11b/
And can be included like so:
#include <nvgpu/hw/gv11b/hw_gr_gv11b.h>
Bug 1799159
Change-Id: If39bd71480a34f85bf25f4c36aec0f8f6de4dc9f
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1284433
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