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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The container_of() macro used in nvgpu produces the following
set of MISRA required rule violations:
* Rule 11.3 : A cast shall not be performed between a pointer to
object type and a pointer to a different object type.
* Rule 11.8 : A cast shall not remove any const or volatile
qualification from the type pointed to be a pointer.
* Rule 20.7 : Expressions resulting from the expansion of macro
parameters shall be enclosed in parentheses
Using the same modified implementation of container_of() as that
used in the nvgpu_list_node/nvgpu_rbtree_node routines eliminates
the Rule 11.8 and Rule 20.7 violations and exchanges the Rule 11.3
violation with an advisory Rule 11.4 violation.
This patch uses that same equivalent implementation in two new
(static) functions that are used to replace references to
container_of() references in tsg and fence code:
* tsg_gk20a_from_ref
* gk20a_fence_from_ref
It should be noted that replacement functions still contain
potentially dangerous (and non-MISRA compliant code) and that it is
expected that deviation requests will be filed for the new advisory
rule violations accordingly.
JIRA NVGPU-782
Change-Id: Ib5f3b8c7b18b92af8237e82ef5ee42d39c0381e5
Signed-off-by: Scott Long <scottl@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1993503
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: svc-mobile-misra <svc-mobile-misra@nvidia.com>
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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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Local golden image is copy of global GR context buffer hence move its
ownership to global context unit
Add new structure nvgpu_gr_global_ctx_local_golden_image to hold all meta
data for local golden image and move it to struct gr_gk20a
Expose and use new APIs to initialize/deinitialize and load local golden image
Jira NVGPU-1625
Change-Id: Ieb68e52c205ca0ecd27f8bf4bb31922a01e7ae54
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1984952
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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 gk20a.
JIRA NVGPU-777
JIRA NVGPU-1006
Change-Id: I965eae017350156c6692fd585292b7a54e4190d8
Signed-off-by: Sai Nikhil <snikhil@nvidia.com>
Signed-off-by: Adeel Raza <araza@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1971010
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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>
Reviewed-on: https://git-master.nvidia.com/r/1983700
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Current code creats golden image using dedicated gr_ctx called
GOLDEN_CTX. But on RM server it's no easy to create a GOLDEN_CTX since
virtual addresses are managed by guest OSes. There's no special reason
why we have to use a separate gr_ctx for golden image. This patch moves
it to use current channel gr_ctx. And the function will be re-useable
by RM server.
Jira GVSCI-191
Change-Id: I9920703e61f7e1d8b3ad6612811e47a3815d0c0f
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1983702
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Split out native-specific engine info collection out of
nvgpu_init_runlist() so that it only contains common code. Call this
common function from vgpu code that ends up being identical.
Jira NVGPU-1309
Change-Id: I9e83669c84eb6b145fcadb4fa6e06413b34e1c03
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1978060
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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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OS specific implementation of fecs trace bind_channel function
needs to handle special case for vserver to retrieve vmid from
channel id. Native code should be independent of server code.
Modify struct fecs_trace member function bind_channel to pass
vmid parameter enabling retrieving and passing vmid from server
code.
Jira GVSCI-44
Change-Id: I96223376f2068e2cbf60a9c9b35ff564a65e5dc3
Signed-off-by: Aparna Das <aparnad@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1970693
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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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Add new unit common/gr/global_ctx.c to manage GR global context buffers
This unit provides interfaces to allocate/free/map/unmap all the global
context buffers. It also provides APIs to get/set size of the buffers,
and to get memory handle of the buffers
Use interfaces exposed by this unit instead of directly accessing global
context buffers in common code
Add new header file include/nvgpu/gr/global_ctx.h to declare all the
interfaces.
Rename "struct gr_ctx_buffer_desc" to "struct nvgpu_gr_global_ctx_buffer_desc"
which holds all data for each global context
Remove void *priv since it is no longer used
Add size to the desc structure to store the requested size
Remove global_ctx_buffer_size from struct nvgpu_gr_ctx since it is no longer
used for any real purpose
Jira NVGPU-1625
Change-Id: I3feaf47bc2fdf192f36b136f2ef80a49d1782c5d
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1977884
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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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
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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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
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: svc-mobile-misra <svc-mobile-misra@nvidia.com>
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Dump eng id and fifo_engine_status if eng fails to idle.
This change is helpful for debugging issues where engine
is not getting idle or intermittently getting idle due to
bad settings of registers in hals set by init_therm_setup_hw
and elcg_init_idle_filters
Bug 2115080
Change-Id: I4c6d144d3fc575db3f30596de6e536fd07753789
Signed-off-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1722194
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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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gk20a_fifo_recover_tsg does high-level software calls and
invokes gk20a_fifo_recover. This function belongs to the tsg unit and
is moved to tsg.c file. Also, the function is renamed to
nvgpu_tsg_recover.
Jira NVGPU-1237
Change-Id: Id1911fb182817b0cfc47b3219065cba6c4ca507a
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1970034
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gk20a_fifo_recover_ch does high-level calls and invokes
gk20a_fifo_recover. This function belongs to the channel unit and is
moved to the file channel.c. Also, the function is renamed to
nvgpu_channel_recover.
Jira NVGPU-1237
Change-Id: I31890f85fdb2c42648cc063dd9c4e7e35930dcef
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1970033
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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>
Reviewed-on: https://git-master.nvidia.com/r/1971274
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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
GVS: Gerrit_Virtual_Submit
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
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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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NVGPU_CTXSW_IOCTL_RING_SETUP can be used to setup a custom ring buffer
and it accepts size via arguments. nvgpu driver will return an error
if size requested is greater than 128 * 4096 but this value is hardcoded
and not exposed anywhere.
Add characteristics field in nvgpu.h to expose this size so that corresponding
nvrm_gpu API can use it.
Bug 2169674
Change-Id: Icf9465d4eec6ba3a307ea9490bd5da563944e4f6
Signed-off-by: Anup Mahindre <amahindre@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1967596
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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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