Commit Graph

806 Commits

Author SHA1 Message Date
Konsta Holtta
44e4d69734 gpu: nvgpu: add channel.force_ctx_reload HAL
Isolate the write to ccsr_channel_force_ctx_reload behind a HAL op.

Jira NVGPU-1307

Change-Id: Iaef7d740f4a89e4a45c7de28f001a7dea98ce066
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017268
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2019-02-12 17:06:28 -08:00
Konsta Holtta
cd4b2f642c gpu: nvgpu: add HAL for reading ccsr_channel
Refactor read accesses to the ccsr_channel register for channel state to
be done via a channel HAL op for all chips. A new op called read_state
is added for this; information needed by other units is collected in a
new struct nvgpu_channel_hw_state.

Jira NVGPU-1307

Change-Id: Iff9385c08e17ac086d97f5771a54b56b2727e3c4
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017266
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2019-02-12 17:06:09 -08:00
Konsta Holtta
7189630e7c gpu: nvgpu: drop fifo_ in channel HAL names
Now that the moved HAL ops from fifo are in channel, rename the
implementations to match.

Jira NVGPU-1307

Change-Id: I7b9336f506c9e71bcd0af98886216958bd6695eb
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017264
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2019-02-12 17:05:56 -08:00
Konsta Holtta
5cde4c2140 gpu: nvgpu: move chip specific channel reg ops to common
Extract out the HAL ops' implementation that now belongs to the channel
unit. This unit is responsible for channel register accesses and the
like (ccsr_*).

Rename channel_gm20b_bind to gm20b_fifo_channel_bind to match with the
rest of the naming. Same with channel_gv11b_unbind.

Jira NVGPU-1307

Change-Id: I58b9d96dbdaf36bdb163a5729544a41faec828ab
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017262
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2019-02-12 17:05:43 -08:00
Konsta Holtta
c330d8fd98 gpu: nvgpu: add channel HAL section for ccsr_*
Split out ops that belong to channel unit to a new section called
channel. Channel is a broad concept; this includes just the code that
accesses channel registers (ccsr_*). This is effectively just renaming;
the implementation still stays put.

The word "channel" is also dropped from certain HAL entries to avoid
redundancy (e.g., channel.disable_channel -> channel.disable).
fifo.get_num_fifos gets an entirely new name: channel.count.

Jira NVGPU-1307

Change-Id: I9a08103e461bf3ddb743aa37ababee3e0c73c861
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017261
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2019-02-12 17:05:34 -08:00
Abdul Salam
6945209418 gpu: nvgpu: Add unified check for clk_arb support
Currently clk_arb needs PSTATE to be true for dGPU.
Setting PSTATE only FALSE, causes issue as clk_arb fails.
There is no such dependency of PSTATE on iGPU.
Making it unified with a call to check_clk_arb_support().
This call is implemented based on its dependency in iGPU, dGPU.
check_clk_arb_support returns true if supported, else false.

Jira NVGPU-1948

Change-Id: I108dc12bd6ad8d0e074352080c978b7dda9bee05
Signed-off-by: Abdul Salam <absalam@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2014775
Reviewed-by: Debarshi Dutta <ddutta@nvidia.com>
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Reviewed-by: Mahantesh Kumbar <mkumbar@nvidia.com>
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2019-02-12 08:54:49 -08:00
Philip Elcan
ab5684ce1b gpu: nvgpu: channel: use u32 for syncpt id
Make the APIs nvgpu_channel_sync_get_syncpt_id() and
channel_sync_syncpt_get_id() return u32s rather than converting to
ints and back.

Also define FIFO_INVAL_SYNCPT_ID to use for invalid syncpt IDs rather
than using magic numbers.

JIRA NVGPU-1008

Change-Id: I4dde6b15fd3708fb0126b46c6fea8ac1b447c7ce
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2014821
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2019-02-11 12:55:36 -08:00
Philip Elcan
ff80b0e6c1 gpu: nvgpu: gp10b: misc MISRA 10.3 fixes
This fixes some miscellaneous MISRA 10.3 violations in gp10b for
assignment of objects of different size or essential type.

JIRA NVGPU-1008

Change-Id: I40e83cd5682c9407ce4301663d07578a40ce1814
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2006586
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2019-02-11 12:55:15 -08:00
Philip Elcan
2c195de777 gpu: nvgpu: gp10b: fix mm MISRA 10.3 violations
This fixes MISRA 10.3 violations in mm_gp10b.c to avoid assigning of
objects from different size or essential type.

JIRA NVGPU-1008

Change-Id: I4ad69f465971a32888c727b33e9da078530f4518
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2006585
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2019-02-11 12:55:06 -08:00
Philip Elcan
cb5f9fd59f gpu: nvgpu: gp10b: make pending chid a u32
The channel ID is typically unsigned, so change the
cilp_preempt_pending_chid from an int to a u32.

JIRA NVGPU-1008

Change-Id: I773dac22c61903aafb311f43b19dfd08d4983eea
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2011683
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2019-02-11 12:55:02 -08:00
Philip Elcan
08ec580cd0 gpu: nvgpu: gp10b: fix gr MISRA 10.3 violations
This fixes MISRA 10.3 violations in gr_gp10b.c to avoid assigning of
objects from different size or essential type.

JIRA NVGPU-1008

Change-Id: Ifafb17a3d6f91331d6dff20366cee046f62bf364
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2006584
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2019-02-11 12:54:53 -08:00
Deepak Nibade
fe27a7f934 gpu: nvgpu: add gr/ctx and gr/subctx APIs to set hwpm ctxsw mode
gr_gk20a_update_hwpm_ctxsw_mode() right now validates the incoming
hwpm mode, checks if it is already set, and if not, it will go ahead
and set the new hwpm mode by calling g->ops.gr.ctxsw_prog HALs

Instead of programming hwpm mode in gr_gk20a.c, move the programming
to gr/ctx and gr/subctx units by adding below APIs
nvgpu_gr_ctx_prepare_hwpm_mode() - validate the incoming mode and
                                   check if it is already set
nvgpu_gr_ctx_set_hwpm_mode() - set pm mode in graphics context
nvgpu_gr_subctx_set_hwpm_mode() - set pm mode in subcontext

Add gpu_va field to struct pm_ctx_desc to store the gpu_va to be
programmed into context

Rename NVGPU_DBG_HWPM_CTXSW_MODE_* to NVGPU_GR_CTX_HWPM_CTXSW_MODE_*
and move them to gr/ctx.h

Remove below HALs since they are no longer used
g->ops.gr.ctxsw_prog.set_pm_mode_no_ctxsw()
g->ops.gr.ctxsw_prog.set_pm_mode_ctxsw()
g->ops.gr.ctxsw_prog.set_pm_mode_stream_out_ctxsw()

Jira NVGPU-1527
Jira NVGPU-1613

Change-Id: Id2a4d498182ec0e3586dc7265f73a25870ca2ef7
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2011093
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2019-02-11 10:25:34 -08:00
Deepak Nibade
319eca3498 gpu: nvgpu: move get_ctx_id API to gr/ctx unit
API gr_gk20a_get_ctx_id() extracts ID of the context and as such
belongs to gr/ctx unit
Move it to gr/ctx and rename it as nvgpu_gr_ctx_get_ctx_id()

All the book keeping for valid ID is also done in same API using
ctx_id_valid flag in gr/ctx unit

Use new API in gr_gp10b_set_cilp_preempt_pending() to get the
context ID

Jira NVGPU-1527

Change-Id: I198262765e95133220f20cfbb1516d4a0758e30d
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2011089
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2019-02-11 10:25:13 -08:00
Mahantesh Kumbar
de3ff22726 gpu: nvgpu: ACR LSF loader config changes
LSF loader cleanup, on gm20b/gp10b PMU falcon & other GR falcons
uses different struct to store loader config which needs different
functions to fill LSF loader config data, but on gv11b/gv10x/tu10a
uses common falcon struct to store loader config, so made single
function to fill LSF loader config data using ACR LSF struct &
removed duplicate code.

Removed ACR LSF loader ops which were part of PMU ops
to cleanup dependency

JIRA NVGPU-1148

Change-Id: I681829e05463d2517a4049433d8b0de3adeb06d9
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2012853
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2019-02-11 03:28:49 -08:00
Mahantesh Kumbar
7b933d58e0 gpu: nvgpu: ACR refactor to manage LSF ucodes
Added data struct under ACR struct to manage LS falcons ucode
as LS falcon ucode holds multiple properties & can be set at acr
init stage to bootstrap LS falcons as required, at present LS falcons
code is part ACR & partially part of PMU code to setup LSF bootstrap,
so, needed to clean up the dependency.

JIRA NVGPU-1148

Change-Id: Ie206e129e3db838041db44d5227ab76a1de991c8
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2012763
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2019-02-11 03:28:41 -08:00
Mahantesh Kumbar
f1bdef62b6 gpu: nvgpu: ucode blob prepare using ACR ops
Moved ACR ucode blob prepare ops to struct nvgpu_acr
from PMU ops as ACR needs to be independent from PMU.

JIRA NVGPU-1147

Change-Id: I2ad1805fcbd0837c24f6f09b6bc292ad2c346fb6
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2007291
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2019-02-11 03:27:22 -08:00
Konsta Holtta
49506f257e gpu: nvgpu: split update_runlist HAL API in two
A comment for gk20a_fifo_update_runlist() says:

 /* add/remove a channel from runlist
    special cases below: runlist->active_channels will NOT be changed.
    (ch == NULL && !add) means remove all active channels from runlist.
    (ch == NULL &&  add) means restore all active channels on runlist. */

Those special cases call for a new function, so add that. Delete the
update_runlist HAL op and add update_for_channel (like update_runlist
without the special cases) and reload (no channel to add or remove, just
the special cases).

While at it, rename gk20a_fifo_update_runlist_ids to
nvgpu_runlist_reload_ids. It's common across chips and does what the
reload HAL does but for a list of several IDs.

Jira NVGPU-1922

Change-Id: I9a99ab03a636a1214c021faad359d2b304a9472f
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2013058
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2019-02-08 12:56:09 -08:00
Deepak Nibade
a5eb150635 gpu: nvgpu: add new gr/config unit to initialize GR configuration
Add new unit gr/config to initialize GR configuration like GPC/TPC
count, MAX count and mask

Create new structure nvgpu_gr_config that stores all the configuration
and that is owned by the new unit

Move below fields from struct gr_gk20a to nvgpu_gr_config in gr/config.h
Struct gr_gk20a now only holds the pointer to struct nvgpu_gr_config

u32 max_gpc_count;
u32 max_tpc_per_gpc_count;
u32 max_zcull_per_gpc_count;
u32 max_tpc_count;

u32 gpc_count;
u32 tpc_count;
u32 ppc_count;
u32 zcb_count;

u32 pe_count_per_gpc;

u32 *gpc_tpc_count;
u32 *gpc_ppc_count;
u32 *gpc_zcb_count;
u32 *pes_tpc_count[GK20A_GR_MAX_PES_PER_GPC];

u32 *gpc_tpc_mask;
u32 *pes_tpc_mask[GK20A_GR_MAX_PES_PER_GPC];
u32 *gpc_skip_mask;

u8 *map_tiles;
u32 map_tile_count;
u32 map_row_offset;

Remove gr->sys_count since it was already no longer used

common/gr/config/gr_config.c unit now exposes the APIs to initialize
the configuration and also to query the configuration values

nvgpu_gr_config_init() is called to initialize GR configuration from
gr_gk20a_init_gr_config() and gr_gk20a_init_map_tiles() is simply
renamed as nvgpu_gr_config_init_map_tiles()

Expose new API nvgpu_gr_config_deinit() to deinit the configuration

Expose nvgpu_gr_config_get_*() APIs to query above configuration
fields stored in nvgpu_gr_config structure

Update vgpu_gr_init_gr_config() to initialize the configuration
from gr->config structure

Chip specific HALs that access GR register for initialization
are implemented in common/gr/config/gr_config_gm20b.c
Set these HALs for all GPUs

Jira NVGPU-1879

Change-Id: Ided658b43124ea61b9f273b82b73fdde4ed3c8f0
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2012167
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2019-02-08 12:55:53 -08:00
Alex Waterman
5b25686d54 Revert "gpu: nvgpu: Discard coherency check on gmmu"
This reverts commit 4e17690975.

Causes instability on Xavier.

Change-Id: I42084a39d496790aad7af1cd85aa0c2c8eac70aa
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2014014
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Reviewed-by: Vinod Gopalakrishnakurup <vinodg@nvidia.com>
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2019-02-07 16:55:03 -08:00
Alex Waterman
f2979bcdac gpu: nvgpu: Remove support_sparse() HAL in MM
The support sparse HAL severs only one purpose: return true or false
depending on whether the given chip supports sparse mappings. This
HAL is used to, in turn, program (or not) the
NVGPU_SUPPORT_SPARSE_ALLOCS enabled flag. So instead of having all
this rigmarole to program this flag just program it for all native
GPUs. Then, in the vGPU specific characteristics function disable it
explicitly. This seems to have precedent already.

JIRA NVGPU-1737
JIRA NVGPU-1934

Change-Id: I630928ad656aaffc09fdc6b7fec9fc423aa94c38
Signed-off-by: Alex Waterman <alexw@nvidia.com>
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2019-02-07 15:44:41 -08:00
Vinod G
4e17690975 gpu: nvgpu: Discard coherency check on gmmu
With MSS Nvlink set for force snoop, check for the coherency flag in
gmmu attribute and setting pte aperture to coherent type based on that
checking is not relevant.

coherent variable removed from nvgpu_gmmu_attrs struct.

bug 200473147

Change-Id: I9bab92ddebfb3a10dbddf1aa13d34bf806e568d7
Signed-off-by: Vinod G <vinodg@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2013212
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2019-02-06 23:33:34 -08:00
Deepak Nibade
254253732c gpu: nvgpu: add new unit for GR subcontext
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>
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2019-02-02 03:03:43 -08:00
Seema Khowala
013ca60edd gpu: nvgpu: remove code for ch not bound to tsg
- 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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2019-02-01 11:58:57 -08:00
Terje Bergstrom
a9f404cb99 gpu: nvgpu: Introduce NVGPU_DEBUGGER build flag
Introduce build flag for NVGPU_DEBUGGER. Also introduces Makefile flag
NVGPU_REDUCED and disables NVGPU_DEBUGGER when doing a reduced
build.

Make user space build enable the reduced build.

Change-Id: I84d6142811f674f2a7652e093b63ea5e93d9143e
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
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2019-02-01 09:46:07 -08:00
Nicolas Benech
6bddc121c3 gpu: nvgpu: remove return value from init_gpu_characteristics
.init_gpu_characteristics implementations were always returning 0
for all GPUs, so signature was changed to return void.

JIRA NVGPU-677

Change-Id: Ibfeb0b73e1e8f0b5b7e4db1de7e190268368568f
Signed-off-by: Nicolas Benech <nbenech@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1998808
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2019-01-30 16:44:26 -08:00
Vinod G
1b1ebb0a8d gpu: nvgpu: log mme esr register information
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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2019-01-30 04:42:58 -08:00
Konsta Holtta
4e85ebc05f gpu: nvgpu: use channel pointer for update_runlist
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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2019-01-25 11:44:47 -08:00
Debarshi Dutta
20b15e6f40 gpu: nvgpu: move sema specific cmdbuf methods to common/sync/
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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2019-01-25 02:46:06 -08:00
Debarshi Dutta
ebe6fa7fac gpu: nvgpu: move syncpt specific cmdbuf methods to common/sync/
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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2019-01-25 02:45:40 -08:00
Debarshi Dutta
8b57b3b938 gpu: nvgpu: restructure sync cmdbufs specific gpu_ops
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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2019-01-25 02:45:11 -08:00
Konsta Holtta
7439449c5c gpu: nvgpu: move runlist base and entry size hal ops
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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2019-01-24 04:14:58 -08:00
Konsta Holtta
237cee5997 gpu: nvgpu: move chip specific runlist code to common
Extract out the HAL ops' implementation that now belongs to the runlist
unit.

Jira NVGPU-1309

Change-Id: I66185de0ddace1728da5f55ae11daa0b752bebf1
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1997824
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2019-01-24 04:14:40 -08:00
Konsta Holtta
6fda25e958 gpu: nvgpu: move runlist HAL ops to separate section
Split out ops that belong to runlist unit to a new section called
runlist. This is effectively just renaming; the implementation still
stays put.

Jira NVGPU-1309

Change-Id: Ib928164f8008f680d9cb13c969e3304ef727abba
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1997823
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2019-01-24 04:14:31 -08:00
Deepak Nibade
b40c655e12 gpu: nvgpu: move regops to separate unit
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>
Reviewed-on: https://git-master.nvidia.com/r/1998723
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2019-01-21 23:04:28 -08:00
Vinod G
1ff12f065e gpu: nvgpu: Update pbdma data and header reset functions
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>
Reviewed-on: https://git-master.nvidia.com/r/1990699
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2019-01-17 22:35:06 -08:00
Deepak Nibade
0ff5a49f45 gpu: nvgpu: move patch context update calls to gr/ctx unit
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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2019-01-17 10:26:58 -08:00
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
Philip Elcan
f910525e14 gpu: nvgpu: cleanup idle_wait and wait_empty APIs
All cases where the wait_empty HAL API and the wait_idle, wait_fe_idle
APIs were being called used the same parameters, so move those
parameters inside the APIs.

JIRA NVGPU-1008

Change-Id: Ib864260f5a4c6458d81b7d2326076c0bd9c4b5af
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1990384
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2019-01-14 13:44:50 -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
Sai Nikhil
aeb5819658 gpu: nvgpu: gp10b: MISRA Rule 10.1 fixes
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>
Reviewed-on: https://git-master.nvidia.com/r/1971167
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2019-01-06 19:24:40 -08:00
Adeel Raza
c961b7ed1d nvgpu: fifo: fix invalid ID macros
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>
Reviewed-on: https://git-master.nvidia.com/r/1983700
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2019-01-06 19:24:13 -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
Konsta Holtta
5504d368ec gpu: nvgpu: add HAL for preempt next
The reschedule_preempt_next functionality requires direct access to
registers. Move it to be called via a HAL op for chips that have
rescheduling support in HAL.

Jira NVGPU-1309

Change-Id: I72d87d8e7ebd3fc05f094b83398cc1ab4b4027a5
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1978057
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2019-01-04 11:15:25 -08:00
Tejal Kudav
9dde3548fd gpu: nvgpu: Remove unconditional device_info print
Unconditional nvgpu_info() seems unnecessary for the debug prints
from device_info table parsing code. Replace them with nvgpu_log_info
prints.

Bug 2461826

Change-Id: I0f84b9a1a2eb79999575f21a85ed0b4fe84806fa
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1987350
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Reviewed-by: Nitin Kumbhar <nkumbhar@nvidia.com>
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2019-01-04 02:36:47 -08:00
Deepak Nibade
93a05937f0 gpu: nvgpu: remove g->ops.gr.dump_ctxsw_stats
g->ops.gr.dump_ctxsw_stats is redundant since we can directly call
g->ops.gr.ctxsw_prog.dump_ctxsw_stats

Also clean up gr_gp10b_dump_ctxsw_stats since it too becomes redundant

Jira NVGPU-1527

Change-Id: I0ac5bcf6cf3dca30954d302766431496971708f4
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1986814
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2019-01-03 23:05:42 -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
dcd3778b5e gpu: nvgpu: fix invalid TSG pointer
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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Reviewed-by: Nitin Kumbhar <nkumbhar@nvidia.com>
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2019-01-02 09:45:23 -08:00
Deepak Nibade
2322cb131c gpu: nvgpu: fix channel reference leak in error case
In gr_gp10b_get_cilp_preempt_pending_chid(), we leak the channel
reference if tsg_gk20a_from_ch() returns NULL
Fix this by calling gk20a_channel_put() in error case

Bug 2444819
Jira NVGPU-1601

Change-Id: Ic5d036c6d043b0b95dd2a564afcc0add67c1ca02
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1984953
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
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2019-01-02 09:45:20 -08:00