This adds a new device management unit in the common code responsible
for facilitating the parsing of the GPU top device list and providing
that info to other units in nvgpu.
The basic idea is to read this list once from HW and store it in a
set of lists corresponding to each device type (graphics, LCE, etc).
Many of the HALs in top can be deleted and instead implemented using
common code parsing the SW representation.
Every time the driver queries the device list it does so using a
device type and instance ID. This is common code. The HAL is responsible
for populating the device list in such a way that the driver can
query it in a chip agnostic manner.
Also delete some of the unit tests for functions that no longer
exist. This code will require new unit tests in time; those should be
quite simple to write once unit testing is needed.
JIRA NVGPU-5421
Change-Id: Ie41cd255404b90ae0376098a2d6e9f9abdd3f5ea
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2319649
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Many tests used various incarnations of the mock register framework.
This was based on a dump of gv11b registers. Tests that greatly
benefitted from having generally sane register values all rely
heavily on this framework.
However, every test essentially did their own thing. This was not
efficient and has caused a some issues in cleaning up the device and
host code.
Therefore introduce a much leaner and simplified register framework.
All unit tests now automatically get a good subset of the gv11b
registers auto-populated. As part of this also populate the HAL with
a nvgpu_detect_chip() call. Many tests can now _probably_ have all
their HAL init (except dummy HAL stuff) deleted. But this does
require a few fixups here and there to set HALs to NULL where tests
expect HALs to be NULL by default.
Where necessary HALs are cleared with a memset to prevent unwanted
code from executing.
Overall, this imposes a far smaller burden on tests to initialize
their environments.
Something to consider for the future, though, is how to handle
supporting multiple chips in the unit test world.
JIRA NVGPU-5422
Change-Id: Icf1a63f728e9c5671ee0fdb726c235ffbd2843e2
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2335334
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Following changes are done to common.top code and UT:
1.Change return type for device_info_parse_enum to void as it can never
return non-zero value.
- This is a private HAL and is only called by get_device_info HAL.
- It gets called only for table entry with entry type = enum.
- So there is no error path left.
This helps remove unnecessary branches and get better branch coverage
2. Check if the data parsing function pointers are not NULL before
parsing the device tree. Return error if there are no functions
to interpret the device_info table registers. Add checks for same in
unit test test_get_device_info().
JIRA NVGPU-2204
Change-Id: I8833da7aa58b070d19b50ee17f64362f301bd792
Signed-off-by: tkudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2269603
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Device info data format has changed from gp10b to
gv11b, and MMU fault id was incorrectly decoded for GR engine.
Add gv11b_device_info_parse_data HAL to decode device info
data with correct field definitions.
Move gp10b device_info parse data to non-fusa, since
it is not used anymore in safety build.
Jira NVGPU-4511
Change-Id: I2b3f3b5fec977d63a9ad6cfd99c04f375cf997e8
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2262217
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Use the updated test types.
Other (setup) --> Other (cleanup)
Feature based --> Feature
Also, change test names to unique identifier to avoid below errors in
SWVS:
Warning doxygenfunction: Unable to resolve multiple matches for
function 'test_xxx' with arguments () in doxygen xml output for
project 'nvgpu_doxygen'...
JIRA NVGPU-4679
Change-Id: Ic2701bec2eafa0e64891d5c6d404847f14c41e55
Signed-off-by: tkudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2268937
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