Commit Graph

6 Commits

Author SHA1 Message Date
Vinod G
c9f8f1ea05 gpu: nvgpu: remove utils.h from gk20a.h
Removed the utils.h include from gk20a.h
utils.h is included in those files which
make use of the macros in utils.h

JIRA NVGPU-1005

Change-Id: Ifb41da58db6ff8682fa6b5dfdd8eda11a751fcac
Signed-off-by: Vinod G <vinodg@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1785952
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-08-10 18:11:26 -07:00
Debarshi Dutta
82a90170d3 gk20a: nvgpu: Remove io.h dependency from gk20a.h
In the current code, gk20a.h includes io.h which gets directly included
in a lot of other files. io.h contains methods which uses a struct
gk20a as a parameter leading to a circular dependency between io.h
and gk20a.h. This can be mitigated by removing io.h from gk20a.h as
part of larger effort to moving gk20a.h to nvgpu/gk20a.h

JIRA NVGPU-597

Change-Id: I93e504fa9371b88152737b342a75580c65e8f712
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1787316
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-07-30 11:24:06 -07:00
Deepak Nibade
0a939d12f4 gpu: nvgpu: use explicit phys address for pci simulation
nvgpu_mem_get_addr() gets virtual/phys address depending on the platform.
But we need to explicitly use physical addresses to configure PCI simulation
support since simulator expects physical address only

Hence use nvgpu_mem_get_phys_addr() explicitly to configure msg/send/recv
buffers needed for pci simulation support

Jira NVGPUT-41

Change-Id: I6870feef35fe81d43189fa048dc2f7052926bcc4
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1756843
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-06-29 04:49:58 -07:00
Antony Clince Alex
560e243f2d gpu: nvgpu: added nvgpu_sim_init_late
Split sim initialization to two parts,
first part gets invoked as part of probe and
second part gets invoked in the finalize_poweron
after the hal has been initialized.

This is done because some of the sim init
code uses mm api's which are assigned as
part of hal init.

replaced sim buffer allocation api's
with nvgpu_dma_sys_alloc.

Change-Id: Ib019fbb747bdf6dcc74e7deba732ab41f0869e96
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1705424
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-05-09 18:26:16 -07:00
Antony Clince Alex
7e66f2a63d gpu: nvgpu: created os-agnostic sim header.
added a os-agnostic sim.h header which could be
included in by any platform, moved out os specific
headers to nvgpu/linux.

JIRA VQRM-2368

Change-Id: I3861bfa75a6b8d2d909bc7223467fd68c208275b
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1702816
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-05-09 18:25:54 -07:00
Antony Clince Alex
50d1b0c72b gpu: nvgpu: os-agnostic segregation of sim/sim_pci
segregated os-agnostic function from linux/sim.c and linux/sim_pci.c
to sim.c and sim_pci.c, while retaining os-specific functions.

renamed all gk20a_* api's to nvgpu_*.

renamed hw_sim_gk20a.h to nvgpu/hw_sim.h
moved hw_sim_pci.h to nvgpu/hw_sim_pci.h

JIRA VQRM-2368

Change-Id: I040a6b12b19111a0b99280245808ea2b0f344cdd
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1702425
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
2018-05-09 18:25:45 -07:00