Commit Graph

296 Commits

Author SHA1 Message Date
Alex Waterman
489236d181 gpu: nvgpu: MISRA 21.2 fixes: __nvgpu_set_enabled()
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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2019-01-15 12:54:19 -08:00
Terje Bergstrom
dce78f7332 gpu: nvgpu: Move PMU code to common/pmu
Move code interfacing with PMU tasks to common/pmu.

JIRA NVGPU-961

Change-Id: Ie62611b0ffe1196d4bfdc740e03017e1894a834f
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1950991
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2019-01-10 20:09:55 -08:00
Terje Bergstrom
ddbd954210 gpu: nvgpu: Split clk.h into private and public
clk/clk*.h are used both by clk itself, and other units calling clk.
Move all public dependencies to include/nvgpu/pmu/clk.h

JIRA NVGPU-961

Change-Id: I54a8cefd8cb1d89782150ffcfc83992d39445f59
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1986070
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2019-01-10 20:09:34 -08:00
Deepak Nibade
4883f14fbb gpu: nvgpu: map global_ctx buffers from gr/ctx unit
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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2019-01-09 10:46:48 -08:00
Deepak Nibade
1c17ae310c gpu: nvgpu: add new unit for GR context
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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2019-01-09 10:46:29 -08:00
Abdul Salam
146d8d3ce5 gpu: nvgpu: Add clk_arb for TU104
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
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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2019-01-08 08:24:38 -08:00
Konsta Holtta
e05c0d13a0 gpu: nvgpu: add runlist unit to common
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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2019-01-04 11:15:34 -08:00
Sagar Kamble
48c0a239e7 gpu: nvgpu: create falcon private header
Add common/falcon/falcon_priv.h file that will contain declarations
private to Falcon unit. Clean up the falcon header files inclusion.
Rules followed:
1. Remove unneeded header file includes.
2. Falcon unit source files will only include falcon_priv.h.
3. Base architecture Falcon source (falcon_gk20a.c) will only
   include hw_falcon_*.h file.
4. Derived architecture source will include hw headers if needed.
5. Other units should not include hw headers for Falcon.
6. HAL source will include the Falcon unit header if needed.

JIRA NVGPU-1459

Change-Id: Ia9f03f7b577fe10b8c0f417e6302fa7ebd4131cc
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1961634
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2019-01-03 02:58:51 -08:00
Sagar Kamble
5efc446a06 gpu: nvgpu: make all falcons struct nvgpu_falcon*
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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2019-01-03 02:58:38 -08:00
Deepak Nibade
bb677160e5 gpu: nvgpu: check tu104 specific timestamp buffer full error code
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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2018-12-31 09:43:39 -08:00
Tejal Kudav
a307b6eb77 gpu: nvgpu: Move nvlink HAL files to common/nvlink
Move the nvlink HAL code to unit specific directory as part
of nvgpu restructing.
This move is done after removing usage of other unit's hardware
headers from nvlink. Also confirmed that no other unit files are
including nvlink hardware headers.

JIRA NVGPU-966

Change-Id: I301e3f8de37c5792a3e1e799b97e5fdfc131f058
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1975259
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2018-12-21 13:24:19 -08:00
tkudav
f6df40f945 gpu: nvgpu: Use device_info parsing HAL for nvlink
Nvlink related information like pri_base, reset and intr enum etc.
is present in device_info table under the engine_type = IOCTRL.
Update the nvlink code to use the HALs exposed by "Top" unit to get
the above described information.

JIRA NVGPU-966

Change-Id: Ie2247cfbcc42bf7b7e8280e2e678086ef06a474c
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969401
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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2018-12-20 09:26:04 -08:00
tkudav
3267530f22 gpu: nvgpu: Use device_info parsing HAL for Fifo
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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2018-12-20 09:26:01 -08:00
tkudav
38f8b3fb00 gpu: nvgpu: Add HALs for device_info table parsing
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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2018-12-20 09:25:57 -08:00
Thomas Fleury
3943f87d69 gpu: nvgpu: userd slab cleanup
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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2018-12-17 12:33:43 -08:00
Debarshi Dutta
fcd216e170 gpu: nvgpu: move gk20a_fifo_engines_on_id to ops struct
gk20a_fifo_engines_on_id uses H/W headers to return a valid active
engine mask. This qualifies the function to be invoked via a struct
gpu_ops function pointer instead.

Jira NVGPU-1237

Change-Id: Ice30610ef51cf4471b3750f21d38e6648953e9e2
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1970032
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2018-12-14 21:54:48 -08:00
Debarshi Dutta
7f58347ed9 gpu: nvgpu: move tsg functions to common
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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2018-12-14 21:54:26 -08:00
Debarshi Dutta
57f03e3a20 gpu: nvgpu: move channel functions to common
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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2018-12-14 21:54:17 -08:00
Konsta Holtta
07993bbbd8 gpu: nvgpu: add runlist_write_state HAL
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>
Reviewed-on: https://git-master.nvidia.com/r/1971274
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2018-12-14 12:06:08 -08:00
Deepak Nibade
fdc15553bc gpu: nvgpu: add new HAL to initialize preemption mode
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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2018-12-14 00:35:39 -08:00
Deepak Nibade
6bbcdb51c6 gpu: nvgpu: remove redundant GR ops
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
GVS: Gerrit_Virtual_Submit
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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2018-12-14 00:35:29 -08:00
Sai Nikhil
34ef8ee49f gpu: nvgpu: fix Misc MISRA Rule 10.4 Violations
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 violation where an arithmetic operation is performed on
signed and unsigned int types.

JIRA NVGPU-992

Change-Id: Icb724f3424c8161c12b69d373ff08c7648f79e56
Signed-off-by: Sai Nikhil <snikhil@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1834225
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Reviewed-by: Adeel Raza <araza@nvidia.com>
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2018-12-13 07:14:49 -08:00
Sagar Kamble
cb1c2b7845 gpu: nvgpu: update MINION falcon base addr init
Prepare new hal api g->ops.nvlink.falcon_base_addr to get the MINION
falcon base address.

JIRA NVGPU-1587

Change-Id: I83a38bf78fd582ea715248900587c1e8e209da3c
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969433
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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2018-12-12 15:14:27 -08:00
Sagar Kamble
ccb035c587 gpu: nvgpu: update GSP falcon base addr init
GSPLITE falcon base address was being set without invoking hal api.
This patch defines gpu_ops.gsp.falcon_base_addr hal api to get this
base address.

JIRA NVGPU-1587

Change-Id: Id187b34d022f90c09b8762cdab7769323b607cc0
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969432
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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2018-12-12 15:14:24 -08:00
Sagar Kamble
147d5d9402 gpu: nvgpu: update GPCCS falcon base addr init
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
Reviewed-by: Automatic_Commit_Validation_User
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2018-12-12 15:14:20 -08:00
Sagar Kamble
c6fc301a9b gpu: nvgpu: update FECS falcon base addr init
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
Reviewed-by: Automatic_Commit_Validation_User
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2018-12-12 15:14:16 -08:00
Sagar Kamble
84b493e644 gpu: nvgpu: update SEC2 falcon base addr init
SEC2 falcon base address was being set without invoking hal api. Remove
FALCON_SEC_BASE. This patch defines gpu_ops.sec2.falcon_base_addr hal api
to get this base address.
Also, don't initialize the base for non-supported falcons.

JIRA NVGPU-1587

Change-Id: Iad19a9987416076cf9090d30a48ff83369cf73c2
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969429
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-12-12 15:14:13 -08:00
Sagar Kamble
e6668a163f gpu: nvgpu: update PMU falcon base addr init
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
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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2018-12-12 15:14:09 -08:00
Sagar Kamble
e86949f5a2 gpu: nvgpu: update NVDEC falcon base addr init
NVDEC falcon base address was being set without invoking hal api. Remove
FALCON_NVDEC_BASE. This patch defines gpu_ops.fb.falcon_base_addr hal api
to get this base address. Currently gp106 and tu104 have these
implemented. gv100 uses the gp106 hal interface.
Also, don't initialize the base for non-supported falcons.

JIRA NVGPU-1587

Change-Id: I0be759b8462ede9b85690a70431480afdee9602c
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969427
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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2018-12-12 15:14:05 -08:00
Peng Liu
34df003519 gpu: nvgpu: using pmu counters for load estimate
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
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-12-11 18:22:54 -08:00
Thomas Fleury
7e68e5c83d gpu: nvgpu: userd slab allocator
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
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-12-11 16:24:10 -08:00
Deepak Nibade
6777bd5ed2 gpu: nvgpu: add separate unit for gr/ctxsw_prog
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
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-12-11 14:41:04 -08:00
Vinod G
a747e3a3ba gpu: nvgpu: RTV cb support for gfxp
Add new buffer support for graphics
preemption in Turing.
Add new hal for allocate and commit
rtv circular buffer for gfxp.
Add new hal for free gr_ctx for TU104.

JIRA NVGPUT-98

Change-Id: I4396fd50288db55da5f924fefa96a2e3d170094b
Signed-off-by: Vinod G <vinodg@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1944975
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2018-12-05 17:03:53 -08:00
Konsta Holtta
94d4a42d10 gpu: nvgpu: add runlist_busy_engines HAL
Split out the code to check which engines on a particular runlist are
busy from gk20a_fifo_runlist_reset_engines() and make it a HAL op.
Resetting engines is common across chips but status is read from
registers.

Jira NVGPU-1309

Change-Id: I7a63a2942a9e210481822eaf85795fc17dad0dc5
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1961822
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-30 11:54:27 -08:00
Mahantesh Kumbar
281c150080 gpu: nvgpu: enable pstate support for tu10x
-Enable supported on tu10x

JIRA NVGPU-1150

Change-Id: Id32d5a966de3fbbfff5271bf2d5a127f0aa87b5f
Reviewed-on: https://git-master.nvidia.com/r/1929896
Signed-off-by: Vaikundanathan S <vaikuns@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1957829
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-29 05:35:10 -08:00
Abdul Salam
45b0cf9a61 gpu: nvgpu: Remove clk arb HAL's from GV100
GV100 doesnt support clk arbitration
Setting this to NULL will help in removing GP106 clk arb

Bug 200457373

Change-Id: Ibcf823a6269e66ff90e67c4158a2ec86441066d5
Signed-off-by: Abdul Salam <absalam@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1959171
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-11-27 16:43:59 -08:00
Mahantesh Kumbar
7672890f48 gpu:nvgpu: Add Change Sequencer
Add change sequencer for PS3.5
Add HAL to select if change sequencer is neeeded.
Add calls from pstate.c to change sequence sw and pmu setup.

JIRA NVGPU-1157

Change-Id: I0722c4bf875577ba04f56f49f21cb1a149b1d37b
Reviewed-on: https://git-master.nvidia.com/r/1929788
Signed-off-by: Vaikundanathan S <vaikuns@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1950409
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2018-11-24 00:34:04 -08:00
Sagar Kamble
fd332ca6b4 gpu: nvgpu: s/*_flcn_*/*_falcon_*
There is mixed usage of falcon & flcn in function and data types.
Lets update all with "falcon" for consistency with file names.

JIRA NVGPU-1459

Change-Id: I02dbc866ce2cca009f2e8b87cfe11a919ec10749
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1953793
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-11-21 23:04:36 -08:00
Sagar Kamble
1da7c720c0 gpu: nvgpu: reorganize falcon HAL code
Move falcon HAL files under common/falcon unit and rename the files
to falcon_*.c|h for consistency.

JIRA NVGPU-1459

Change-Id: I9f39097f35fd6228e80945251c7b7ef9cc901398
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1953757
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-11-21 23:04:33 -08:00
Terje Bergstrom
bca27e31e3 gpu: nvgpu: Fix clk_gp106.h and clk_gv100.h headers
clk_gp106.h and clk_gv100.h define conflicting symbols, which prevent
including them both at the same time. One of the conflicting structs
is namemap_cfg, which has different definitions in clk_gp106.h and
include/nvgpu/clk.h.

Move all constants used only by clk_*.c to be defined there, delete
the extra namemap_cfg structure definition, and modify code to cope
with the unified namemap_cfg.

JIRa NVGPU-596

Change-Id: Id68919da4567ec1507eda0cfaa19bf047a7bfc59
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1945285
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-14 13:33:29 -08:00
Amurthyreddy
23f35e1b2f gpu: nvgpu: MISRA 14.4 bitwise operation as boolean
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 result of a bitwise operation is used as a
boolean in the controlling expression of if and loop statements.

JIRA NVGPU-1020

Change-Id: I6a756ee1bbb45d43f424d2251eebbc26278db417
Signed-off-by: Amurthyreddy <amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1936334
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-13 09:45:25 -08:00
Amurthyreddy
b68e465fab gpu: nvgpu: MISRA 10.1 boolean fixes
MISRA rule 10.1 doesn't allow the usage of non-boolean variables as
booleans. Fix violations where a variable of type non-boolean is used
as a boolean.

JIRA NVGPU-646

Change-Id: If451037ada9a5f41b0cddb50778de57f60864f5c
Signed-off-by: Amurthyreddy <amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1815742
GVS: Gerrit_Virtual_Submit
Reviewed-by: Adeel Raza <araza@nvidia.com>
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2018-11-13 09:45:07 -08:00
smadhavan
f1747cbcd1 gpu: nvgpu: Fix MISRA rule 8.3 violations
MISRA rule 8.3 requires that all declarations of a function
shall use the same parameter names and type qualifiers. There
are cases where the parameter names do not match between
function prototype and declaration. This patch will fix some of
these violations by renaming the parameter as required.

JIRA NVGPU-847

Change-Id: I3f7280b0e4c21b1c2d70fd7f899cf920075f87a3
Signed-off-by: smadhavan <smadhavan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1927103
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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2018-11-12 22:33:18 -08:00
Terje Bergstrom
d6a9b1dae1 gpu: nvgpu: Move gv100 perf policy to pmu_perf
While code communicating with PMU perf got moved to pmu_perf, the
file implementing gv100 specifics got left behind. Move that, to
pmu_perf, too.

JIRA NVGPU-596

Change-Id: I2b59970ca60fee8c6c1f19b54dcebfb65c1fde80
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1944887
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2018-11-09 13:28:45 -08:00
Amurthyreddy
4de2add5e9 gpu: nvgpu: MISRA 14.4 boolean fixes
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: Ia96f3bc6ca645ba8538faf7a9fa3a9ccf9df40d3
Signed-off-by: Amurthyreddy <amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1943168
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-09 13:28:19 -08:00
Amulya
999eabbcd7 gpu: nvgpu: MISRA 10.1 boolean fixes
MISRA rule 10.1 doesn't allow the usage of non-boolean variables as
booleans.

Fix violations where a variable of type non-boolean is used as a
boolean and changed few instances of BIT() to BIT32() or BIT64().

JIRA NVGPU-646

Change-Id: I100606a69717c12839aa9c35e7bf6c18749db56e
Signed-off-by: Amulya <Amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1809836
GVS: Gerrit_Virtual_Submit
Tested-by: Amulya Murthyreddy <amurthyreddy@nvidia.com>
Reviewed-by: Adeel Raza <araza@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-09 13:27:04 -08:00
Terje Bergstrom
f00d9ca1aa gpu: nvgpu: Move pmu HAL files to common/pmu
Move PMU and ACR HAL source code files to live under common/pmu. Also
update the #include paths and delete unnecessary #include dependencies.

JIRA NVGPU-961

Change-Id: I29a220bce6de0a46b6a5fe8ff7f9dc4d67395348
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1935626
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-08 20:04:06 -08:00
Konsta Holtta
513cb21f26 gpu: nvgpu: move doorbell token number to HAL
Add a fifo HAL for querying the doorbell token of a specific channel and
call it instead of doing the calculation directly. For Volta the token
is just the channel id plus the possible base number.

Bug 200145225

Change-Id: Ifbb150191575fdc72e413a14c799cab7e52d8c14
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1849639
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-06 21:56:26 -08:00
tkudav
1cdcc54a53 gpu: nvgpu: Use nvlink speed from VBIOS
Different SKUs may require different nvlink speed and hence the
nvlink speed value should come from VBIOS. The initpll number
corresponding to speed is present in VBIOS Low Power Nvlink table
header. Parse this data from VBIOS and set corresponding nvlink
speed and minion initpll DLCMD as default.
We can no longer update the GV100 VBIOS with necessary nvlink speed
value. Hence the hardcoding stays for GV100.
The nvlink speed should match across the endpoints. So in speed_config
fops, communicate the speed to nvlink core-driver for co-ordination
with Tegra endpoint.

Bug 2418403

Change-Id: Ib6f60951d4ca1c275968707d4cc6d738ba3a3f08
Signed-off-by: tkudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1938046
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2018-11-06 02:14:32 -08:00
tkudav
03dcb8006e gpu: nvgpu: Remove 25G nvlink speed support
The Tegra endpoint no longer supports 25G nvlink speed. As
the dGPU nvlink endpoint is only used with Tegra nvlink
point, remove support for 25G nvlink speed to avoid speed
mismatch between endpoints.

Bug 2083356

Change-Id: I79609073af3975ce90421f66800380ec596084b3
Signed-off-by: tkudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1940134
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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2018-11-06 02:14:23 -08:00