Remove NVGPU_GPU_IOCTL_ALLOC_AS_FLAGS_USERSPACE_MANAGED and
NVGPU_AS_ALLOC_USERSPACE_MANAGED flags which are used for supporting
userspace managed address-space. This functionality is not implemented
fully in kernel neither going to be implemented in near future.
Jira NVGPU-9832
Bug 4034184
Change-Id: I3787d92c44682b02d440e52c7a0c8c0553742dcc
Signed-off-by: Shashank Singh <shashsingh@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2882168
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This patch fixes nvgpu_css_allocate_perfmon_ids which
leads to a buffer overflow if the allocation of perfmon
ids does not succeed.
If the allocation of perfmon ids cannot be satisfied,
bitmap_find... would return CSS_MAX_PERFMON_IDS and
nvgpu_bitmap_set would still be called with start after
the bitmap array. This results into a buffer overflow.
Bug 3814963
Change-Id: I4caff36cf0c920b4445e1841d16ba2b4c3d19aaa
Signed-off-by: Martin Radev <mradev@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2786747
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Reviewed-by: Prateek Sethi <prsethi@nvidia.com>
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
GVS: Gerrit_Virtual_Submit <buildbot_gerritrpt@nvidia.com>
Subcontext PDBs and valid mask in the instance blocks of the channels
in various subcontexts has to be updated when new subcontext is
created or a subcontext is removed.
Replayable fault state is cached in the channel structure. Replayable
fault state for subcontext is set based on first channel's bind
parameter. It was earlier programmed in function channel_setup_ramfc.
init_inst_block_core is updated to setup TSG level pdb map and mask.
Added new hal gv11b_channel_bind to enable the subcontext on channel
bind.
Bug 3677982
Change-Id: I58156c5b3ab6309b6a4b8e72b0e798d6a39c1bee
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2719994
Reviewed-by: Ankur Kishore <ankkishore@nvidia.com>
GVS: Gerrit_Virtual_Submit <buildbot_gerritrpt@nvidia.com>
While creating a new channel, ioctls are called in the below sequence:
1. GPU_IOCTL_OPEN_CHANNEL
2. AS_IOCTL_BIND_CHANNEL
3. TSG_IOCTL_BIND_CHANNEL_EX
4. CHANNEL_ALLOC_GPFIFO_EX
5. CHANNEL_ALLOC_OBJ_CTX.
subctx pdbs and valid mask are programmed in the channel instance block
in the channel ioctls AS_IOCTL_BIND_CHANNEL & CHANNEL_ALLOC_GPFIFO_EX.
Programming them in the ioctl AS_IOCTL_BIND_CHANNEL is redundant.
Remove related hal g->ops.mm.init_inst_block_for_subctxs.
The hal init_inst_block will program context pdb and big page size.
The hal init_inst_block_core will program context pdb, big page size
and subctx 0 pdb. This is used by h/w units (fecs, pmu, hwpm, bar1,
bar2, sec2, gsp, perfbuf etc.).
For user channels, subctx pdbs are programmed as part of ramfc setup.
Bug 3677982
Change-Id: I6656b002d513404c1fd7c3d349933e80cca7e604
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2680907
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The PMA unit can only access GPU VAs within a 4GB window, hence both
the user allocated PMA buffer and the kernel allocated bytes available
buffer should lie in the same 4GB window. This is accomplished by
carving out and reserving a 4GB VA space in perbuf.vm and using fixed
GPU VAs to ensure that both buffers are bound within the same 4GB window.
In addition, update ALLOC_PMA_STREAM to use pma_buffer_offset,
pma_buffer_map_size fields correctly.
Bug 3503708
Change-Id: Ic5297a22c2db42b18ff5e676d565d3be3c1cd780
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2671637
Reviewed-by: svcacv <svcacv@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
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Reviewed-by: Vaibhav Kachore <vkachore@nvidia.com>
GVS: Gerrit_Virtual_Submit
nvgpu_timeout_init() returns an error code only when the flags parameter
is invalid. There are very few possible values for flags, so extract the
two most common cases - cpu clock based and a retry based timeout - to
functions that cannot fail and thus return nothing. Adjust all callers
to use those, simplfying error handling quite a bit.
Change-Id: I985fe7fa988ebbae25601d15cf57fd48eda0c677
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2613833
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Use fixed address mapping for pma byte buffer so that the address of
this buffer always fits in 32 bits.
This also requires to move unmap sequence to OS specific function since
different unmap API is now needed for linux and QNX.
Also call nvgpu_prof_free_pma_stream_priv_data() before
nvgpu_profiler_free_pma_stream() since former uses mm->perfbuf which
is released in later.
Bug 2510974
Jira NVGPU-5360
Change-Id: I398b0ca4f96527d6e09c9aacacb4b43c90f5bfc9
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2424691
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GVS: Gerrit_Virtual_Submit
Right now PMA byte buffer address is allocated in the range of
0x1ffc010000. The register that stores this address is only 32-bit and
there is no corresponding _hi() register, so the address must fit in
32 bits.
Update nvgpu_vm_init() parameters in nvgpu_perfbuf_init_vm() so that a
low_hole of only 4K is used. This allows the address to be allocated
in the range of 0x4000000.
Also map byte buffer before PMA stream buffer so that byte buffer always
gets lower address.
There is only one PMA stream buffer allowed to be mapped right now so
this works for now. But in future multiple buffers can be mapped and this
solution needs to be reworked.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ief1a9ee54d554e3bc13c7a9567934dcbeaefbcc6
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2418520
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Support new IOCTL to manage PMA stream meta data by adding below API
nvgpu_prof_ioctl_pma_stream_update_get_put()
Add nvgpu_perfbuf_update_get_put() to handle all the updates coming
from userspace and to pass all required information.
Add gops.perf.update_get_put() to handle all HW accesses required in
perf HW unit.
Add gops.perf.bind_mem_bytes_buffer_addr() to bind the available bytes
buffer while binding HWPM streamout.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ibacc2299b845e47776babc081759dfc4afde34fe
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2406484
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Reviewed-by: Antony Clince Alex <aalex@nvidia.com>
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gk20a_perfbuf_map() allocates perfbuf VM, maps the user buffer into new
VM, and then triggers gops.perfbuf.perfbuf_enable(). This HAL then does
following :
- Allocate perfbuf instance block
- Initialize perfbuf instance block
- Reset stream buffer
- Program instance block address in PMA registers
- Program user buffer address into PMA registers
New profiler interface will have it's own API to setup PMA strem, and
it requires above setup to be done in two phases of perfbuf
initialization and then user buffer setup.
Split above functionalities into below functions
- nvgpu_perfbuf_init_vm()
- Allocate perfbuf VM
- Call gops.perfbuf.init_inst_block() to initialize perfbuf instance
block
- gops.perfbuf.init_inst_block()
- Allocate perfbuf instance block
- Initialize perfbuf instance block
- Program instance block address in PMA registers using
gops.perf.init_inst_block()
- In case of vGPU, trigger TEGRA_VGPU_CMD_PERFBUF_INST_BLOCK_MGT
command to gpu server
- gops.perf.init_inst_block()
- Reset stream buffer
- Program user buffer address into PMA registers
Also add corresponding cleanup functions as below :
gops.perf.deinit_inst_block()
gops.perfbuf.deinit_inst_block()
nvgpu_perfbuf_deinit_vm()
Bug 2510974
Jira NVGPU-5360
Change-Id: I486370f21012cbb7fea84fe46fb16db95bc16790
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2372984
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nvgpu.common.unit was just an enum used for passing to nvgpu.common.mc
APIs. So, move the enum into mc.h, and replace the include of unit.h
with mc.h where appropriate. And update the yaml arch.
JIRA NVGPU-4144
Change-Id: I210ea4d3b49cd494e43add1b52f3fbcdb020a1e3
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2216106
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The alloc_insty_block() function in the MM HAL is not a HAL. It does
not abstract any HW accesses; instead it just wraps a dma allocation.
As such remove it from the HAL and move the single gk20a implementation
to common/mm/mm.c as nvgpu_alloc_inst_block().
JIRA NVGPU-2042
Change-Id: I0a586800a11cd230ca43b85f94a35de107f5d1e1
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2109049
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Currently max_css_buffer_size is incorrectly stored in struct nvgpu_gr
Add a new hal g->ops.css.get_max_buffer_size() to get the size and
remove the variable from struct nvgpu_gr
Jira NVGPU-3125
Change-Id: If78fd86559526b84031051e281a98327a46fc11d
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2105652
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cyclestats_snapshot data and lock is right now stored in struct nvgpu_gr
Use case itself is not specific to GR engine but in general it applies
to other units outside of GR too.
Hence it makes sense to move both data and lock to struct gk20a instead
of keeping them in struct nvgpu_gr
Update all cyclestats_snapshot code to refer data/lock from struct gk20a
Remove gr_priv.h header include from cyclestats_snapshot.c
Some of the functions were mistakenly declared in gr_gk20a.h.
Move them to cyclestats_snapshot.h and rename them to form nvgpu_css_*()
Jira NVGPU-1103
Change-Id: I3fb32fe96f0ca6613f4640c8bd227b9e0e02dca3
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2104848
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Removed unused struct from gr_gk20a.h
Change static allocation for struct gr_gk20a to dynamic type.
Change all the files that being affected by that change.
Call gr allocation from corresponding init_support functions, which
are part of the probe functions.
nvgpu_pci_init_support in pci.c
vgpu_init_support in vgpu_linux.c
gk20a_init_support in module.c
Call gr free before the gk20a free call in nvgpu_free_gk20a.
Rename struct gr_gk20a to struct nvgpu_gr
JIRA NVGPU-3132
Change-Id: Ief5e664521f141c7378c4044ed0df5f03ba06fca
Signed-off-by: Vinod G <vinodg@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2095798
Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
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Added the following HALs
- ramin.base_shift
- ramin.alloc_base
Use above HALs in mm, instead of using hw definitions.
Defined nvgpu_inst_block_ptr to
- get inst_block address,
- shift if by base_shift
- assert upper 32 bits are 0
- return lower 32 bits
Added missing #include for <nvgpu/mm.h>
Jira NVGPU-3015
Change-Id: I558a6f4c9fbc6873a5b71f1557ea9ad8eae2778f
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2077840
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Introduce nvgpu_bitmap_set() and nvgpu_bitmap_clear() APIs to wrap the
bitmap_set() and bitmap_clear() APIs, respectively. The new nvgpu_*
versions accept unsigned length parameters since length is logically an
unsigned value where bitmap_set and bitmap_clear accept signed values.
We inherit bitmap_set and bitmap_clear from the OS, so we can't
directly change those.
Also, change uses of the old APIs to the new ones.
These changes resolve MISRA Rule 10.3 violations for implicit assignment
of objects of different essential or narrower type.
JIRA NVGPU-2953
Change-Id: I2c8f790049232a791f248b350c485bb07452315b
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2077624
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Reviewed-by: Adeel Raza <araza@nvidia.com>
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MISRA Rule-17.7 requires the return value of all functions to be used.
Fix is either to use the return value or change the function to return
void. This patch contains fix for all 17.7 violations instandard C functions
in common code.
JIRA NVGPU-1036
Change-Id: Id6dea92df371e71b22b54cd7a521fc22812f9b69
Signed-off-by: Nicolas Benech <nbenech@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1929899
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MISRA rule 14.4 doesn't allow the usage of integer types as booleans
in the controlling expression of an if statement or an iteration
statement.
Fix violations where the integer variables err, ret, status are used
as booleans in the controlling expression of if and loop statements.
JIRA NVGPU-1019
Change-Id: Ia2ec5f1db3c7a1884efe5ba7b8b4d9ebbd021734
Signed-off-by: Amurthyreddy <amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1921373
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Add new separate unit common/perf/cyclestats_snapshot.c and add
corresponding header file include/nvgpu/cyclestats_snapshot.h
This unit is h/w independent and simply calls gops.perf.* HALs
exposed by perf unit to do the h/w configurations
Also remove gv11b/css_gr_gv11b.* files as h/w specific sequence
implemented in them is already moved to perf unit
Rename all cyclestats_snapshot HALs in the form nvgpu_css_*()
Jira NVGPU-1103
Change-Id: I303f6becb313ac918e06c495a5fe299947a1f0b1
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1916652
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Add separate unit for perfbuf in common/perf/perfbuf.c which does not need to
include any h/w file. This unit will utilize HALs exported by
perf_*.c units for h/w accesses.
Add corresponding header file at include/nvgpu/perfbuf.h
Add new HAL gops.perfbuf with below operations :
gops.perfbuf.perfbuf_enable()
gops.perfbuf.perfbuf_disable()
Remove below debug session specific HALs
gops.dbg_session_ops.perfbuffer_enable()
gops.dbg_session_ops.perfbuffer_disable()
Delete file gv11b/dbg_gpu_gv11b.c since it is no longer needed now as it was
only including perfbuf sequence
Also remove perfbuf sequences from gk20a/dbg_gpu_gk20a.c
Jira NVGPU-1102
Change-Id: I57b87c9f0dcd85784f8002bc92728b6d78a68d98
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1819303
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Add separate unit for perf under common/perf/ to provide accesses to h/w
unit hw_perf_*_.c
Implement below HALs in gm20b and gv11b specific h/w files and set them to
appropriate chips
gops.perf.enable_membuf()
gops.perf.disable_membuf()
gops.perf.membuf_reset_streaming()
gops.perf.get_membuf_pending_bytes()
gops.perf.set_membuf_handled_bytes()
gops.perf.get_membuf_overflow_status()
Jira NVGPU-1102
Change-Id: I161990fdb7283f33c0fb2ab6a8051f4bfc3bb181
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1819302
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