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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APIs to set preemption modes right now have config based code to set
default preemption modes or to check if given preemption mode is valid
or not. This makes code unreadable and complex.
Rework nvgpu_gr_obj_ctx_init_ctxsw_preemption_mode() so that it checks
for initial preemption modes in the beginning. If no preemption mode is
passed while allocating context, get default preemption modes with
gops.gr.init.get_default_preemption_modes() and use them.
Rework nvgpu_gr_ctx_check_valid_preemption_mode() so that it is more
readable. Use gops.gr.init.get_supported_preemption_modes() to validate
incoming preemption modes against supported preemption modes.
Log preemption modes getting set in
nvgpu_gr_obj_ctx_set_ctxsw_preemption_mode().
Disable failing unit test. It will need rework according to new code.
Jira NVGPU-5648
Change-Id: Ie1a3e1aeae7826a123e104d9d016f181bea3b271
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2419034
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common.gr defined a temporary macro NVGPU_GR_NUM_INSTANCES to enable or
disable multiple GR instances from common.gr unit.
Multiple GR instance boot is now verified, so we can remove this
temporary solution.
Note that nvgpu_grmgr_get_num_gr_instances() will return more than 1
instance only if NVGPU_SUPPORT_MIG is enabled.
Update unit tests to set number of syspipes to 1 to allow enumeration
of GR instance by grmgr.
Jira NVGPU-5648
Change-Id: I795901ae516843ae7b6c1794dae0f023a213ab1d
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2418377
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Below HALs are implemented in common.gr unit, but they really belong
to common.perf unit since they access registers from perf unit.
gops.gr.init_hwpm_pmm_register()
gops.gr.get_num_hwpm_perfmon()
gops.gr.set_pmm_register()
gops.gr.reset_hwpm_pmm_registers()
Move them to common.perf unit, and update all the code accordingly
gops.perf.init_hwpm_pmm_register()
gops.perf.get_num_hwpm_perfmon()
gops.perf.set_pmm_register()
gops.perf.reset_hwpm_pmm_registers()
Add new HAL gops.gr.get_pm_ctx_buffer_offsets() and set it to
gr_gk20a_get_pm_ctx_buffer_offsets() for all chips.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ib5e84ed5c8b6e72cc6923161e55fc2c3a6a4070e
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2418306
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Add new HAL g->ops.gr.reset_hwpm_pmm_registers() to reset all HWPM regs
while binding HWPM in global mode in nvgpu_profiler_bind_hwpm()
Add below new HALs to get sys/gpc/fbp register list and count
g->ops.perf.get_hwpm_sys_perfmon_regs()
g->ops.perf.get_hwpm_gpc_perfmon_regs()
g->ops.perf.get_hwpm_fbp_perfmon_regs()
Auto generate all the HWPM regs in below arrays for gv11b/tu104
static const u32 hwpm_sys_perfmon_regs[]
static const u32 hwpm_gpc_perfmon_regs[]
static const u32 hwpm_fbp_perfmon_regs[]
Bug 2510974
Jira NVGPU-5360
Change-Id: I2ca5c04ed75c7b30ae942807bf018a24551d7ba0
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2414934
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Following commit had moved this config definition from the nvgpu Kconfig
to Makefile and removed setting it from the defconfig files for various
kernels. However, config defined by nvgpu does not apply to the kernel.
commit 864f98ea2582 ("gpu: nvgpu: move linux configs from Kconfig file")
commit 59f5e242fa4a ("k4.9: tegra_defconfig: remove nvgpu config entries")
commit 84313f485840 ("k4.9: arm64: android_defconfig: remove nvgpu config entries")
Remove the definition from nvgpu. It is defined in the soc/tegra Kconfig
as enabled.
Bug 200653821
Change-Id: I077acd2e4c586fa4ca9dd23ca98a6028f7499e54
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2414698
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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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Add two new IOCTL APIs to allocate/free pma stream. Add two new
functions to handle this :
nvgpu_prof_ioctl_alloc_pma_stream()
nvgpu_prof_ioctl_free_pma_stream()
Allocation of pma stream includes below steps :
- Initializing perfbuf VM
- Mapping PMA buffer into perfbuf VM
- Mapping PMA byte buffer into perfbuf VM
- Mapping PMA byte buffer to CPU virtual address space
Store all of above data in struct nvgpu_profiler_object for
reference. OS specific data is stored in struct
nvgpu_profiler_object_priv
Update HWPM streamout bind/unbind sequence to enable/disable perfbuf
respectively.
Also take care of releasing the pma stream resources in profiler object
close path if they are not explicitly released by user space by IOCTL
call.
Bug 2510974
Jira NVGPU-5360
Change-Id: I126633746cabc4e293c7ad7c49806866a897949d
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2406483
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This CL covers the following code changes,
1) Added api to get the gr_config per gr_instance_id basis.
2) Added api to covert from gpu_instance_id to gr_instance_id.
3) Modified nvgpu_gr_exec_with_ret_for_instance() utility to handle
generic data return type.
JIRA NVGPU-5662
JIRA NVGPU-5663
Change-Id: I4ab732e15cdbda25672975f99e23b5e5d27decb0
Signed-off-by: Lakshmanan M <lm@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2413195
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Add macros to get current GR instance id and the pointer
nvgpu_gr_get_cur_instance_ptr()
nvgpu_gr_get_cur_instance_id()
This approach makes sure that the caller is getting GR instance pointer
under mutex g->mig.gr_syspipe_lock in MIG mode. Trying to access
current GR instance outside of this lock in MIG mode dumps a warning.
Return 0th instance in case MIG mode is disabled.
Use these macros in nvgpu instead of direct reference to
g->mig.cur_gr_instance.
Store instance id in struct nvgpu_gr. This is to retrieve GR instance
id in functions where struct nvgpu_gr pointer is already available.
Jira NVGPU-5648
Change-Id: Ibfef6a22371bfdccfdc2a7d636b0a3e8d0eff6d9
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2413140
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gr_gv100_init_hwpm_pmm_register() and gr_gv100_set_pmm_register() right
now assume common chiplet stride for all sys/fbp/gpc and use common API
g->ops.perf.get_pmm_per_chiplet_offset() to get the stride.
Chiplet strides are same for all partitions only by chance, and future
chip might change that.
Hence add and use below 3 separate HALs to get appropriate strides.
g->ops.perf.get_pmmsys_per_chiplet_offset()
g->ops.perf.get_pmmgpc_per_chiplet_offset()
g->ops.perf.get_pmmfbp_per_chiplet_offset()
Also store sys/fbp/gpc perfmon count in struct gk20a after first query
instead of querying them again and again. Querying the counts from HW
is time consuming.
Bug 2510974
Jira NVGPU-5360
Change-Id: I186009221009780d561617c0cd6f535854db585f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2413108
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Add separate flag gpu_dbg_gr to enable common.gr specific debugging.
Add this flag to all the existing debug logs that use gpu_dbg_fn or
gpu_dbg_info for debugging. Also add many other debugging logs that
might be helpful in debugging.
Removing debug log in gv11b_gr_init_get_nonpes_aware_tpc() as it dumps
too much data that does not seem useful.
Batch all interrupt enable functions in gr_init_setup_hw() together for
readability.
Jira NVGPU-5648
Change-Id: I0b857650122cdb1f974b452d28c26e7f142baf61
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2411740
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Remove current mc hals
- mc.reset()
- mc.enable()
- mc.disable()
- mc.reset_mask()
- mc.reset_engine()
- mc.reset_engine_enable()
Add new mc hals
- mc.enable_units(g, units, enable)
> enable/disable given unit(s)
- mc.enable_dev(g, dev, enable)
> enable/disable engine represented by given device pointer
- mc.enable_devtype(g, devtype)
> enable/disable all engines of given devtype
Move common mc intr functions to common/mc/mc_intr.c.
Add below common mc functions
- nvgpu_mc_reset_units(g, units)
> reset given logical OR of nvgpu unit bitmap
- nvgpu_mc_reset_dev(g, dev)
> reset given single engine via dev
> if engine is graphics, reset gpcs for nvgpu_next
- nvgpu_mc_reset_devtype(g, devtype)
> reset all engines of given devtype
> if devtype is graphics, reset gpcs for nvgpu_next
Bug 200648985
Bug 3109773
Change-Id: Idc67a14a0a7cde83de44fbfbec13007fead3ed5c
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2408523
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nvgpu_gr_init_support() right now executes each of its function for each
GR instance separately. Instead of looping for each function, move the
GR engine initialization sequence to a separate gr_init_support_impl()
and execute this function for each instance.
Update below functions to take nvgpu_gr pointer as parameter. These
functions need not worry about GR instance, instead they'll just operate
on provided instance pointer.
gr_init_setup_hw
gr_init_config
gr_init_setup_sw
gr_init_sm_id_config_early
gr_init_ctxsw_falcon_support
Add new static function gr_init_support_finalize() to set the ready
status and invoke waiters. Execute this per GR instance.
gr_init_ecc_init() and nvgpu_cg_elcg_enable_no_wait() are not needed to
be run per instance.
gr_init_ecc_init() will be later updated to allocate meta data for all
instances
Jira NVGPU-5648
Change-Id: Ia6860f2bdfe0080aebf8930266d3f51bfd805e36
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2410703
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Get number of SMs from GR instance specific nvgpu_gr_config pointer
instead of global SM count in below functions :
nvgpu_gr_fs_state_init()
gv11b_gr_init_sm_id_config()
Update nvgpu_gr_config_get_gpc_skip_mask() to return 0 in case gpc_index
is greater than available gpc_count. This is not MIG specific, but based
on code review possible even today for existing chips.
See gm20b_gr_init_pd_skip_table_gpc()
Update nvgpu_gr_get_override_ecc_val() to return GR instance specific
value.
Execute gr_init_setup_hw() for each GR instance.
Disable below failing unit tests:
nvgpu_gr_fs_state.test_gr_fs_state_error_injection
nvgpu_gr_init.test_gr_init_hal_config_error_injection
Jira NVGPU-5648
Change-Id: Ie8f1c0c304c634756786d85facf336a5c9ae8195
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2410702
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Execute gr_init_setup_sw() for each GR instance.
Update all of the functions called from this function to receive
nvgpu_gr pointer explicitly.
Separate out nvgpu_gr_zbc_init() call to gr_init_setup_sw() and rename
gr_init_ctx_and_map_zbc() to gr_init_ctx_bufs() for more clarity.
Call gr_init_ecc_init() from nvgpu_gr_init_support() since this does not
need to be executed per GR instance.
Initialize mutex etc in nvgpu_gr_alloc() for consistency.
Jira NVGPU-5648
Change-Id: I8e990e11458c05c1b53a4d6710cc2ec3545762a8
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2410701
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Enable CONFIG_GK20A_DEVFREQ and apply corresponding
changes for kernel-5.9
- Remove frequency clipping of devfreq min/max frequency
constraint due to devfreq already takes care of it.
- Register available GPU frequencies to OPP framework
due to devfreq access available device frequencies
through OPP frameworks during device frequency
transition.
Bug 200639056
Change-Id: I72e4a7825ae9ca814791dc283138d17a5cfbe8e2
Signed-off-by: Aaron Tian <atian@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2400107
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