Update pmu ucode version for next pmu to 29323513.
This version is taken from P4 CL#29323216.
Changes:
- Enabled ACR task support
- Disabled few features/code for commands to work
- ELPG fifo preemption hals fixed
- Halt functions in ELPG save and restore functions
are commented as bloaded flag is not getting set. This
is not significant as this change will not have any impact
in elpg functionality.
P4 ToT CL on which above change was made: P4 CL#29322732
P4 CL link: https://p4sw-swarm.nvidia.com/changes/29323216
Bug 200666202
Signed-off-by: Ramesh Mylavarapu <rmylavarapu@nvidia.com>
Change-Id: I34581cc15889463fa363cffb369485171c603247
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2447234
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In K5.9 those two functions are changed to reject calls directly
using global pmc pointer. So it's a bit complicated to revert to
the point where GPU can feel free to call them.
For an easier future mantainance, a new set of APIs are added to
all existing kernels to let GPU driver control clamp without any
direct access to PMC registers.
Bug 200663781
Change-Id: Ifce4765525eee6d61083896fc9a126892cbb86ba
Signed-off-by: Nicolin Chen <nicolinc@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2441010
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This CL covers the following code changes,
1) Added some more documentation for gpu_instance_id
and gr_instance_id.
2) Used the gr_sys_pipe_id for gr_instance_id.
2) Removed gr_syspipe_id attribute.
4) Removed NVGPU_GPU_FLAGS_SUPPORT_MIG flag.
3) Changed the device node name to use gpu instance id + syspipe id
combination insted of gpu instance id + gr engine instance id.
Bug 2802347
Change-Id: Id6ca7db5765ab31b5d83472be35dde432c2281ed
Signed-off-by: Lakshmanan M <lm@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2440532
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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On Linux, nvrm_gpu can open channel/tsg/address space only using ctrl
node. This tricks nvrm_gpu into considering physical instance as
actual available fGPU if ctrl node is exposed for physical instance.
There is no current requirement to expose physical instance ctrl node.
It might be needed later for profiling use cases.
For now, skip dev node creation for physical instance.
Jira NVGPU-5648
Change-Id: I23398ba993f97e2d2f344876c0c6b0c82b336402
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2439880
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Store nvgpu_cdev pointer in struct tsg_private and assign it in
nvgpu_ioctl_tsg_open.
In gk20a_tsg_ioctl_bind_channel_ex(), extract gpu_instance_id from
cdev pointer and then extract instance specific max VEID count from
gpu_instance_id.
Use this max veid count to validate subcontext id coming from user.
Jira NVGPU-5648
Change-Id: I71cea5180e1ced1a72818d160f1a951c1c6ec770
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2438925
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nvgpu_channel_get_max_subctx_count() right now always returns max subctx
count for 0th instance. Update this function to return max subctx count
for GPU instance for which channel is allocated.
For CE channels that are allocated and managed by nvgpu, cdev pointer is
not set in channel private data (since it is assigned in OS specific
code). For those channels continue returning max subctx count for 0th
instance. CE channels should not need subcontexts anyways.
Add nvgpu_cdev pointer in struct nvgpu_channel_linux. Assign it in
__gk20a_channel_open() and clear it in gk20a_channel_release()
Move code to get runlist and gpu_instance_id after nvgpu_get() call.
Accesses to gk20a pointer should always come after nvgpu_get().
Also add a debug print to dump runlist_id and gpu_instance_id being
used for channel.
Jira NVGPU-5648
Change-Id: Idf58ccefdb7dc9fec78100f79c647e5a00b8fb29
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2438924
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Pascal+ chips do not support updating PC sampling using register
NV_CTXSW_MAIN_IMAGE_PM (Unlike GM20B, bit 6 = PC_SAMPLING is not
present on GP10b, GV11b and TU104). To correct this in NVGPU, we
are setting the set_pc_sampling HAL to NULL.
We need to make sure devtools also does not call into
these APIs. Until the devtools team updates their code, we would
return success(0) from update_pc_sampling API even if the HAL is
set to NULL. Filed http://nvbugs/200671026 for devtools team.
Bug 200604892
Bug 200671026
Change-Id: I6334d4b2a84d7a0f676d7e2faad4befde5f76310
Signed-off-by: tkudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2437002
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By always mapping gmmu kernel page using 4kB page, it'll be consistent
with native nvgpu driver. It's a workaround for enabling 64KB os kernel
page support.
In long term solution, GMMU_PAGE_SIZE_KERNEL will be os kernel page
size, and function nvgpu_gmmu_update_page_table will choose big page or
small page by comparing the size of GMMU_PAGE_SIZE_KERNEL with the size
of small or big pages. Regardingly vgpu will choose kernel page size by
comparing the size too when send map commands to server.
Bug 3015296
Bug 3015296
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Change-Id: I5d25280a9410da3ef628e5914ea962a76b102273
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2437193
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Separate out nvgpu_gpu_fetch_engine_info_item() that populates
engine_id/engine_instance/runlist_id for given nvgpu_device.
Update Existing API nvgpu_gpu_get_engine_info() to use above function.
Add new API nvgpu_gpu_get_gpu_instance_engine_info() that populates
instance specific engine information.
Update NVGPU_GPU_IOCTL_GET_ENGINE_INFO sequence to trigger
nvgpu_gpu_get_gpu_instance_engine_info() for fGPU instances in
MIG mode. Continue using nvgpu_gpu_get_engine_info() in
non-MIG mode and for physical instance in MIG mode.
Jira NVGPU-5648
Change-Id: Ia946748fa2b0c27efa7704847cdf9bb44a0749da
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2436753
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Update gk20a_ctrl_dev_ioctl() to fetch gpu_instance_id with
nvgpu_get_gpu_instance_id_from_cdev() and gr_instance_id with
nvgpu_grmgr_get_gr_instance_id().
Get instance specific GR engine configuration pointer with
nvgpu_gr_get_gpu_instance_config_ptr()
Update gk20a_ctrl_ioctl_gpu_characteristics() to return instance
specific characteristics with below changes :
- 0th GPU instance is a physical instance. Set a limited and relevant
characteristics flags for 0th instance.
For rest of the instances and non-MIG mode, continue fetching flags
with nvgpu_ctrl_ioctl_gpu_characteristics_flags.
- nvgpu_set_preemption_mode_flags() should be set only for non-MIG mode
and non-zero instance in MIG mode.
- In MIG mode, 0th instance does not support any classes. Rest of the
instances support only compute, copy and gpfifo classes.
Non-MIG mode supports all the classes including graphics ones.
- Fetch gpu_instance_id/gr_sys_pipe_id/gr_instance_id from gpu_instance
pointer.
- Fetch max_veid_count_per_tsg from gpu_instance pointer.
Also update nvgpu_gr_get_zcull_ptr() and nvgpu_gr_get_zbc_ptr() to
return instance specific pointers. zcull/zbc are not supported in MIG
mode, this is just for consistency of the code.
Jira NVGPU-5648
Change-Id: I764526061542c48ed87659844e16dd0e0253c588
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2436752
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- Modify NVGPU_GPU_IOCTL_ALLOC_AS and struct nvgpu_alloc_as_args to
accept start address and size of user memory. This allows configurable
address space allocation.
- Modify gk20a_as_alloc_share() and gk20a_vm_alloc_share() to receive
va_range_start and va_range_end values.
- gk20a_vm_alloc_share() initializes vm with low_hole = va_range_start,
and user vma size = (va_range_end - va_range_start).
- Modify nvgpu_as_alloc_space_args and nvgpu_as_free_space_args to
accept 64 bit number of pages.
Bug 2043269
JIRA NVGPU-5302
Change-Id: I243995adf5b7e0e84d6b36abe3b35a5ccabd7a37
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2385496
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In __gk20a_channel_open(), if runlist_id is provided as -1,
pick up correct GPU instance sprcific default runlist id using
nvgpu_grmgr_get_gpu_instance_runlist_id().
Also, get GPU instance is using nvgpu_get_gpu_instance_id_from_cdev()
If runlist_id is received as input, check if it is valid for given
GPU instance with nvgpu_grmgr_is_valid_runlist_id()
Jira NVGPU-5648
Change-Id: I69303a3dd81f28f474b40564da51254bcaa1ed15
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2435467
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Add new API nvgpu_get_gk20a_from_cdev() that extracts gk20a pointer
from cdev pointer. This helps in keeping cdev related implementation
details in ioctl.c and away from other device ioctl files.
Also move struct nvgpu_cdev, nvgpu_class, and nvgpu_cdev_class_priv_data
from os_linux.h to ioctl.h since all of these structures are more IOCTL
related and better to keep them in ioctl specific header.
Jira NVGPU-5648
Change-Id: Ifad8454fd727ae2389ccf3d1ba492551ef1613ac
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2435466
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Add new API nvgpu_get_gpu_instance_id_from_cdev() that returns GPU
instance id from nvgpu_cdev pointer.
Store cdev pointer in channel private data channel_priv and ctrl node
private data gk20a_ctrl_priv.
Update below functions to pass cdev pointer :
__gk20a_channel_open()
gk20a_channel_open_ioctl()
In gk20a_channel_ioctl(), extract gpu instance id using cdev pointer
stored in channel_priv and new API nvgpu_get_gpu_instance_id_from_cdev().
Extract GR instance id using nvgpu_grmgr_get_gr_instance_id()
Invoke context creation API inside nvgpu_gr_exec_with_err_for_instance()
so that context is created with correct GR instance id.
Jira NVGPU-5648
Change-Id: I5a4e79165e021b56181d08105b2185306a19703b
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2435465
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Any PDE can allocate memory with a specific page size. That means memory
allocation with page size 4K and 64K will be realized by different PDEs
with page size (or PTE size) 4K and 64K respectively. To accomplish this
user vma is required to be pde aligned.
Currently, user vma is aligned by (big_page_size << 10) carried over
from when pde size was equivalent to (big_page_size << 10).
Modify user vma alignment check to use pde size.
JIRA NVGPU-5302
Change-Id: I2c6599fe50ce9fb081dd1f5a8cd6aa48b17b33b4
Signed-off-by: Vedashree Vidwans <vvidwans@nvidia.com>
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In MIG mode, each of the dev nodes should be enumerated for each fGPU.
And for physical instance only the "ctrl" node should be enumerated.
Support this with below set of changes :
- Add struct nvgpu_mig_static_info that describes static GPU instance
configuration. GPCs are enumerated only during poweron and grmgr unit
will populate instance information based on number of GPCs.
For linux, GPU poweron happens only with first gk20a_busy() call and
instance information is not available during probe() time. Hence this
static table is a temporary solution until proper solution is
identified.
- Add nvgpu_default_mig_static_info for iGPU and
nvgpu_default_pci_mig_static_info for dGPU that describes GPU instance
partition.
- Add new function nvgpu_prepare_mig_dev_node_class_list() that parses
the static table and creates one class per instance in MIG mode.
Non-MIG mode classes are now enumerated in
nvgpu_prepare_default_dev_node_class_list().
- Add new structure nvgpu_cdev_class_priv_data to store private data for
each cdev. This will hold instance specific information and pointer to
private data will be maintained in struct class and also passed as
private data while creating device node with device_create()
- Add nvgpu_mig_phys_devnode() to set dev node path/names for fGPUs and
add nvgpu_mig_fgpu_devnode() to set dev node path/names for physical
instance in MIG mode.
- Add new field mig_physical_node to struct nvgpu_dev_node. This field
is set if corresponding dev node should be created for physical
instance in MIG mode. For now set it only for "ctrl" node.
Jira NVGPU-5648
Change-Id: Ic97874eece1fbe0083b3ac4c48e36e06004f1bc2
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2434586
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