nvgpu_gr_obj_ctx_alloc_golden_ctx_image() right now uses global variable
g->gr.ctx_vars.golden_image_size to get size of golden image which is
then used to initialize local golden image
Use nvgpu_gr_obj_ctx_get_golden_image_size() API to get the size instead
of using global variable
Jira NVGPU-1887
Change-Id: I39b0cfe8f051c828e2b279c1836a259962c3d3bd
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2089581
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-by: Vinod Gopalakrishnakurup <vinodg@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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These HALs are used to initialize and set preeemption modes
g->ops.gr.init_ctxsw_preemption_mode()
g->ops.gr.set_ctxsw_preemption_mode()
g->ops.gr.update_ctxsw_preemption_mode()
They are all h/w independent except for the functional support for
GFXP/CILP preemption support which is only present on gp10b+ chips
Add a characteristics flag NVGPU_SUPPORT_PREEMPTION_GFXP for these
preemption modes and set this flag for gp10b+ chips
Use this flag and unify all above HALs into below common functions
nvgpu_gr_obj_ctx_init_ctxsw_preemption_mode()
nvgpu_gr_obj_ctx_set_ctxsw_preemption_mode()
nvgpu_gr_obj_ctx_update_ctxsw_preemption_mode()
vGPU specific code also directly calls below vGPU specific APIs
vgpu_gr_init_ctxsw_preemption_mode()
vgpu_gr_set_ctxsw_preemption_mode()
g->ops.gr.update_ctxsw_preemption_mode() is not needed for vGPU since
it is handled by vserver
Above g->ops.gr.*_ctxsw_preemption_mode() HALs are no more required
hence delete them
Jira NVGPU-1887
Change-Id: I9b3164bcf01e5e3c27e52369c9364e0ee23a9662
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2088507
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
gr_gk20a_commit_global_ctx_buffers() is h/w independent, hence move it
to common unit common.gr.obj_ctx and rename it as
nvgpu_gr_obj_ctx_commit_global_ctx_buffers()
Delete g->ops.gr.commit_global_ctx_buffers hal
Jira NVGPU-1887
Change-Id: If1c840237b8ba2c13bed40a4315810073756aeb9
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2088506
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
Add a new unit common.gr.obj_ctx which allocates and initializes GR
context. This unit also takes care of creating global golden image
used to initialize every context.
Add private header obj_ctx_priv.h that defines struct
nvgpu_gr_obj_ctx_golden_image
Add public header obj_ctx.h that exposes functions supported by new unit
This unit now exposes below API to allocate and initialize context
nvgpu_gr_obj_ctx_alloc()
Remove below functions from gk20a/gr_gk20a.c and move them to new unit
with below renames
gr_gk20a_fecs_ctx_bind_channel() -> nvgpu_gr_obj_ctx_bind_channel()
gr_gk20a_fecs_ctx_image_save() -> nvgpu_gr_obj_ctx_image_save()
gk20a_init_sw_bundle() -> nvgpu_gr_obj_ctx_alloc_sw_bundle()
gr_gk20a_alloc_gr_ctx() -> nvgpu_gr_obj_ctx_gr_ctx_alloc()
gr_gk20a_init_golden_ctx_image() ->
nvgpu_gr_obj_ctx_alloc_golden_ctx_image()
Use new APIs in gk20a_alloc_obj_ctx() to allocate context
For now this unit includes <nvgpu/gr/gr.h> and some h/w headers.
But they will be removed in follow up patches
Jira NVGPU-1887
Change-Id: Ib95ec1c19c5b74810f85c2feed8fdd63889d3d22
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2087662
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: svc-mobile-misra <svc-mobile-misra@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Vinod Gopalakrishnakurup <vinodg@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
