Add new unit common/gr/subctx.c to manage GR subcontext
This unit provides interfaces to allocate/free/load GR subcontext
Add new header file include/nvgpu/gr/subctx.h to declare all the
interfaces.
Right now channel_gk20a structure directly includes a nvgpu_mem
for context header.
Declare a new structure nvgpu_gr_subctx for subcontext and include
this from channel_gk20a
Make all necessary changes to refer ctx_header from subctx instead
of directly referencing it from channel
Jira NVGPU-1613
Change-Id: I9eb1ee8f26fa88d2881f9b294935b65e9cbcc9b4
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1990129
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- Remove handling for channels that are no more bound to tsg
as channel could be referenceable but no more part of a tsg
- Use tsg_gk20a_from_ch to get pointer to tsg for a given channel
- Clear unhandled gr interrupts
Bug 2429295
JIRA NVGPU-1580
Change-Id: I9da43a2bc9a0282c793b9f301eaf8e8604f91d70
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1972492
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Add new hal to log the mme exception register information. Support
added for Turing only. On mme exception interrupt, read the
mme_hww_esr register and log the error based on esr register bits.
JIRA NVGPU-1241
Change-Id: Ied3db0cc8fe6e2a82ecafc9964875e2686ca0d72
Signed-off-by: Vinod G <vinodg@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2005807
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A naked channel ID does not carry good information about the channel
validity and is a very low level construct for an API of this level.
Refactor the runlist updating fifo APIs to take a channel pointer.
While at it, delete the channel and wait_for_finish parameters from
gk20a_fifo_update_runlist_ids() - the only caller is suspend and resume
and the parameters were always null for channel and true for wait.
Jira NVGPU-1309
Jira NVGPU-1737
Change-Id: Ied350bc8e482d8e311cc708ab0c7afdf315c61cc
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1997744
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sema cmdbuf specific functions are only for the sync functionality
of nvgpu and do not belong to fifo.
construct files sema_cmdbuf_gk20a.h and sema_cmdbuf_gk20a.c
under common/sync to contain the syncpt specific cmdbuf functions
for arch gk20a.
Jira NVGPU-1308
Change-Id: Iebeebe7a3de627f2de08d4ced74bb1aabf1eb53c
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1975922
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syncpt cmdbuf specific functions are only for the sync functionality of
nvgpu and donot belong to fifo.
construct files syncpt_cmdbuf_gk20a.h and syncpt_cmdbuf_gk20a.c under
common/sync to contain the syncpt specific cmdbuf functions for arch
gk20a.
The word 'fifo' is also removed from the name of these functions.
Jira NVGPU-1308
Change-Id: I1a1fd1d31f7decd1398f8e2ff625f95cf1f55033
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1975920
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sync cmbbuf specific ops pointers are moved into a new struct sync_ops
under the parent struct gpu_ops. The HAL assignments to the gk20a and
gv11b versions are updated to match the new struct type.
Jira NVGPU-1308
Change-Id: I1d9832ed5e938cb65747f0f6d34088552f75e2bc
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1975919
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Avoid including the HW headers directly in the HAL listings: add
indirection functions for the two ops that were naked:
- runlist.eng_runlist_base_size
- runlist.runlist_entry_size
GV100 gets a new fifo HAL file as base_size is the first one (and
currently the only one) of GV100-specific ops.
NVGPU-1309
Change-Id: Idf28b5e26c798457132ef595fa55c65bcddb1b31
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1997826
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Move regops (gk20a/regops_gk20a.c) to separate unit common/regops/regops.c
Move corresponding header (gk20a/regops_gk20a.h) to include/nvgpu/regops.h
Move rest of the platform HAL files to common/regops/ as well
Fix all the header includes to include new public header
Remove *_apply_smpc_war() declarations from headers. Corresponding
functions were cleaned up already, and declarations were left somehow
Jira NVGPU-620
Change-Id: I8b8065b9c91f69809bdeb1b4caecdc7582c8a992
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
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Two new fifo hals are added.
read_pbdma_data and reset_pbdma_header.
In turing the instruction that caused the interrupt
will be stored in NV_PPBDMA_PB_DATA0 register or
NV_PPBDMA_HDR_SHADOW register, which is decided based on
NV_PPBDMA_PB_COUNT value and PB_HEADER type
JIRA NVGPU-1240
Change-Id: I54a92e317a6054335439d2d61bced28aff3eecb7
Signed-off-by: Vinod G <vinodg@nvidia.com>
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We use below APIs to update patch context
gr_gk20a_ctx_patch_write_begin()
gr_gk20a_ctx_patch_write_end()
gr_gk20a_ctx_patch_write()
Since patch context is owned by gr/ctx unit, move these APIs
to this unit and rename them to
nvgpu_gr_ctx_patch_write_begin()
nvgpu_gr_ctx_patch_write_end()
nvgpu_gr_ctx_patch_write()
Jira NVGPU-1527
Change-Id: Iee19c7a71d074763d3dcb9b1997cb2a3159d5299
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1989214
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Rename __nvgpu_set_enabled() to nvgpu_set_enabled(). The original
double underscore was present to indicate that this function is a
function with potentially unintended side effects (enabling a feature
has wide ranging impact).
To not lose this documentation a comment was added to convey that this
function must be used with care.
JIRA NVGPU-1029
Change-Id: I8bfc6fa4c17743f9f8056cb6a7a0f66229ca2583
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1989434
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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 clk arbiter support for tu104
setup clk_arb for supporting functions in hal_tu04
TU104 supports GPCCLK and not GPC2CLK
Remove multiplication and division by 2 to convert gpcclk to gpc2clk
Provide support for following features
*Domains: Currently GPCCLK is supported
*clk Range: From P0 min to P0 max
*Freq Points: Gives the VF curve from PMU
*Default: Default value(P0 Max)
*Current Pstate: P0 is supported
All request for change is freq is validated against P0 value
Out of bound values are trimmed to match the Pstate limits
Multiple requests are supported and max of that will be set
Requests are sent to PMU via change sequencer
Bug 200454682
JIRA NVGPU-1653
Change-Id: I36735fa50c7963830ebc569a2ea2a2d7aafcf2ab
Signed-off-by: Abdul Salam <absalam@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1982078
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MISRA rule 10.1 mandates that the correct data types are used as
operands of operators. For example, only unsigned integers can be used
as operands of bitwise operators.
This patch fixes rule 10.1 vioaltions for gp10b.
JIRA NVGPU-777
JIRA NVGPU-1006
Change-Id: I9291a520fb4a28571b3d7d7b102e43227c1df07e
Signed-off-by: Sai Nikhil <snikhil@nvidia.com>
Signed-off-by: Adeel Raza <araza@nvidia.com>
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MISRA rule 10.1 prohibits using signed values with bitwise operators.
Make fifo invalid ID macros compliant with this MISRA rule.
Also use these macros in source code instead of hardcoded numbers to
make the code more readable.
JIRA NVGPU-1006
Change-Id: I2f336d1decbc53b08f93587f2e00ea2cce47f72b
Signed-off-by: Adeel Raza <araza@nvidia.com>
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Extract non-chip-specific code that manages the runlists (init, update,
reschedule etc.) to a new file in the common directory. Move the
declarations to a new matching runlist.h header.
Jira NVGPU-1309
Change-Id: I3c7e0032899516487037f47ddc9a7e7aa4b0b33a
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1978058
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With intention to make falcon header free of private data we are making
all falcon struct members (pmu.flcn, sec2.flcn, fecs_flcn, gpccs_flcn,
nvdec_flcn, minion_flcn, gsp_flcn) in the gk20a, pointers to struct
nvgpu_falcon. Falcon structures are allocated/deallocated by
falcon_sw_init & _free respectively.
While at it, remove duplicate gk20a.pmu_flcn and gk20a.sec2_flcn,
refactor flcn_id assignment and introduce falcon_hal_sw_free.
JIRA NVGPU-1594
Change-Id: I222086cf28215ea8ecf9a6166284d5cc506bb0c5
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1968242
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In gr_gp10b_set_cilp_preempt_pending() we already extract TSG pointer
by calling tsg_gk20a_from_ch() which safely returns correct TSG or
NULL in error case
But before calling g->ops.fifo.post_event_id() we again extract TSG
by directly accessing g->fifo.tsg array, and this could result in
getting invalid TSG pointer
Fix this by removing direct TSG extraction through g->fifo.tsg
Bug 2444819
Jira NVGPU-1601
Change-Id: I9d49b5309c74e162828e7cb7d97556aae939a07c
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1984954
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In gk20a_gr_handle_fecs_error(), we right now check the error code in
mailbox to identify if we hit timestamp buffer full error interrupt
This error code right now is hard coded to 0x26
But on Turing ucode this error code is set to 0x32
Add new HAL g->ops.fecs_trace.get_buffer_full_mailbox_val() to get
correct error code per platform and use this in
gk20a_gr_handle_fecs_error()
Bug 200471541
Bug 2469604
Change-Id: I7325354b39d35b1c8b218e554814316d22950469
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1978144
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Update the fifo code to use the HALs exposed by "Top" unit to
read data from device_info table.
The information for GRAPHICS engine in device_info table is
now parsed using the get_device_info HAL from "Top" unit.
Copy engine(CE) has multiple entries in the device_info table
corresponding to each instance of the engine. Prior to Pascal, each
instance of an engine was denoted by different engine type.
For example in GM20B, there are engine types like COPY_ENGINE0,
COPY_ENGINE1 and so on. In Pascal and chips beyond, a new field
called "inst_id" is added and the engine_type is kept the same for
different instances of an engine. For example in GP10B, all copy
engine entries have same engine type i.e ENGINE_LCE, but different
inst_ids. So for Pascal and chips beyond, we use a different HAL to
get CE information from device_info table.
JIRA NVGPU-1053
Change-Id: Ib40a616d903a5dbef5730678c2ebc3454b8e900d
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969400
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The device_info table is an array of registers which contain engine
specific data for engines like CE, graphics, nvdec, ioctrl etc.
These registers contain data like intr_enum, reset_enum, pri_base
and so on. The Top unit would include HAL to parse this table and
get data for a particular engine.
Some engines like CE have multiple entries in the device_info table
corresponding to each instance of the engine. Prior to Pascal, each
instance of an engine was denoted by different engine type.
For example in GM20B, there are engine types like COPY_ENGINE0,
COPY_ENGINE1 and so on. In Pascal and chips beyond, a new field
called "inst_id" is added and the engine_type is kept the same.
For example in GP10B, all copy engine entries have same engine type
i.e ENGINE_LCE, but different inst_ids. So for Pascal and chips
beyond, add HAL to get number of entries corresponding to an engine
type.The "get_device_info" HAL will parse a specific instance
of the engine using inst_id argument
JIRA NVGPU-1053
Change-Id: Ie3058b1c1bfdd87bfa47e5f037d049d9d50cfc0b
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969399
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Follow-up change to rename g->ops.mm.bar1_map (and implementations)
to more specific g->ops.mm.bar1_map_userd.
Also use nvgpu_big_zalloc() to allocate userd slabs memory descriptors.
Bug 2422486
Bug 200474793
Change-Id: Iceff3bd1d34d56d3bb9496c179fff1b876b224ce
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1970891
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Any tsg specific functions that does high-level software-centric
operations below to the TSG unit and not the FIFO unit.
Move the below public functions as well as their dependent
static functions to common/fifo/tsg.c and also rename them to use the
prefix nvgpu_tsg_*
gk20a_fifo_set_ctx_mmu_error_tsg
gk20a_fifo_abort_tsg
gk20a_fifo_error_tsg
gk20a_fifo_check_tsg_ctxsw_timeout
Jira NVGPU-1237
Change-Id: I4e3da821a878d4b4a0a0b53fbb7f4c10f135f58d
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1934299
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Any channel specific functions having high-level software-centric
operations belong to the channel unit and not the FIFO unit.
Move the below public functions as well as their dependent
static functions to common/fifo/channel.c. Also, rename the functions
to use the prefix nvgpu_channel_*.
gk20a_fifo_set_ctx_mmu_error_ch
gk20a_fifo_error_ch
gk20a_fifo_check_ch_ctxsw_timeout
Jira NVGPU-1237
Change-Id: Id6b6d69bbed193befbfc4c30ecda1b600d846199
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1932358
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The function gk20a_fifo_sched_disable_rw accesses HW directly. Rename it
and add a HAL indirection so that it can be called from chip-independent
code.
Also fix some trivial MISRA violations in the function.
Jira NVGPU-1309
Change-Id: Icf320738d3d1d4baa40257a9da3ca2c6b7fefc0b
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
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g->ops.gr.alloc_gr_ctx HAL right now allocates graphics context and
also initializes preemption mode for various platforms
Separate out a new HAL g->ops.gr.init_ctxsw_preemption_mode that
initializes preemption mode and call it from gk20a_alloc_obj_ctx()
after context is created
g->ops.gr.alloc_gr_ctx now only allocates the context as the name
suggests
Jira NVGPU-1527
Change-Id: I8a44672d5ab2ebfe315e6334115265e4ee4f24f0
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1972254
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g->ops.gr.enable_cde_in_fecs and g->ops.gr.update_boosted_ctx
are no longer required since we can directly call
g->ops.gr.ctxsw_prog.set_cde_enabled and
g->ops.gr.ctxsw_prog.set_pmu_options_boost_clock_frequencies
respectively
remove those functions and the ops
Jira NVGPU-1526
Change-Id: Idb0ad5f634e78aac44ec325ba2b7f59c612b29e8
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1972184
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GPCCS falcon base address was being set without invoking hal api. Remove
FALCON_GPCCS_BASE. This patch defines gpu_ops.gr.gpccs_falcon_base_addr
hal api to get this base address.
JIRA NVGPU-1587
Change-Id: Icfa7a26d1bb2d67c81f05a43f6ce906f59706b3d
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969431
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FECS falcon base address was being set without invoking hal api. Remove
FALCON_FECS_BASE. This patch defines gpu_ops.gr.fecs_falcon_base_addr hal
api to get this base address.
JIRA NVGPU-1587
Change-Id: I9c8e60be4ee81a154020c982893725a12ebb72ef
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969430
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
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PMU falcon base address was being set without invoking hal api. Remove
FALCON_PWR_BASE. This patch defines gpu_ops.pmu.falcon_base_addr hal api
to get this base address.
JIRA NVGPU-1587
Change-Id: I5c3f27e89bdcc775025bc8d4fa9cf0af11ceb002
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969428
Reviewed-by: Automatic_Commit_Validation_User
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
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PMU counters #0 and #4 are used to count total cycles and busy cycles.
These counts are used by podgov to estimate GPU load.
PMU idle intr status register is used to monitor overflow. Overflow
rarely occurs because frequency governor reads and resets the counters
at a high cadence. When overflow occurs, 100% work load is reported to
frequency governor.
Bug 1963732
Change-Id: I046480ebde162e6eda24577932b96cfd91b77c69
Signed-off-by: Peng Liu <pengliu@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1939547
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We had to force allocation of physically contiguous memory for
USERD in nvlink case, as a channel's USERD address is computed as
an offset from fifo->userd address, and nvlink bypasses SMMU.
With 4096 channels, it can become difficult to allocate 2MB of
physically contiguous sysmem for USERD on a busy system.
PBDMA does not require any sort of packing or contiguous USERD
allocation, as each channel has a direct pointer to that channel's
512B USERD region. When BAR1 is supported we only need the GPU VAs
to be contiguous, to setup the BAR1 inst block.
- Add slab allocator for USERD.
- Slabs are allocated in SYSMEM, using PAGE_SIZE for slab size.
- Contiguous channels share the same page (16 channels per slab).
- ch->userd_mem points to related nvgpu_mem descriptor
- ch->userd_offset is the offset from the beginning of the slab
- Pre-allocate GPU VAs for the whole BAR1
- Add g->ops.mm.bar1_map() method
- gk20a_mm_bar1_map() uses fixed mapping in BAR1 region
- vgpu_mm_bar1_map() passes the offset in TEGRA_VGPU_CMD_MAP_BAR1
- TEGRA_VGPU_CMD_MAP_BAR1 is called for each slab.
Bug 2422486
Bug 200474793
Change-Id: I202699fe55a454c1fc6d969e7b6196a46256d704
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1959032
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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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ctxsw_intr0 is triggered by ucode even if it
is not enabled by driver. Add handling
for processing ctxsw_intr0. fecs mailbox(6)
is used to report fecs/gpccs misc error codes.
Also dump falcon stats for unhandled fecs intr.
Bug 2361571
Bug 200472922
Change-Id: Iefb3c0d46ad1d08db07fd3c08cff91a77835908c
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1966984
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Add a flag that let's userspace enable the unified VM functionality
on a selective bassis. This feature is working for all cases except
a single MODS trace. This will allow test coverage to be selectively
added in certain userspace tests as well to help prevent this feature
from bit rotting (as it has historically done).
Also update the unit test for the page table management in the GMMU
to reflect this new flag. It's been set to false since the target
platform for safety is currently not using unified address spaces.
Bug 200438879
Change-Id: Ibe005472910d1668e8372754be8dd792773f9d8c
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1951864
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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