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tests | ||
README.md | ||
dump_trace_images.py | ||
image_checksum.py | ||
query_traces_yaml.py | ||
renderdoc_dump_images.py | ||
traceutil.py | ||
tracie.py |
README.md
Tracie - Mesa Traces Continuous Integration System
Home of the Mesa trace testing effort.
Traces definition file
The trace definition file contains information about the traces to run along with their expected image checksums on each device, and optionally from where to download them. An example:
traces-db:
download-url: https://minio-packet.freedesktop.org/mesa-tracie-public/
traces:
- path: glmark2/jellyfish.rdc
expectations:
- device: gl-intel-0x3185
checksum: 58359ea4caf6ad44c6b65526881bbd17
- device: gl-vmware-llvmpipe
checksum: d82267c25a0decdad7b563c56bb81106
- path: supertuxkart/supertuxkart-antediluvian-abyss.rdc
expectations:
- device: gl-intel-0x3185
checksum: ff827f7eb069afd87cc305a422cba939
The traces-db
entry can be absent, in which case it is assumed that
the traces can be found in the CWD/traces-db
directory.
Traces that don't have an expectation for the current device are skipped during trace replay.
Adding a new trace to the list involves commiting the trace to the git repo and
adding an entry to the traces
list. The reference checksums can be calculated
with the image_checksum.py script.
Alternatively, an arbitrary checksum can be used, and during replay (see below)
the scripts will report the mismatch and expected checksum.
Trace-db download urls
The trace-db:download-url property contains an HTTPS url from which traces can be downloaded, by appending traces:path properties to it.
Enabling trace testing on a new device
To enable trace testing on a new device:
-
Create a new job in .gitlab-ci.yml. The job will need to be tagged to run on runners with the appropriate hardware.
- If you mean to test GL traces, use the
.traces-test-gl
template jobs as a base, and make sure you set a unique value for theDEVICE_NAME
variable and the name of the Mesa driver asDRIVER_NAME
:
my-hardware-gl-traces: extends: .traces-test-gl variables: DEVICE_NAME: "gl-myhardware" DRIVER_NAME: "mydriver"
- If you mean to test Vulkan traces, use the
.traces-test-vk
template jobs as a base, set theVK_DRIVER
variable, and make sure you set a unique value for theDEVICE_NAME
variable:
my-hardware-vk-traces: extends: .traces-test-vk variables: VK_DRIVER: "radeon" DEVICE_NAME: "vk-myhardware" DRIVER_NAME: "radv"
- If you mean to test GL traces, use the
-
Update the .gitlab-ci/traces-$DRIVER_NAME.yml file with expectations for the new device. Ensure that the device name used in the expectations matches the one set in the job. For more information, and tips about how to calculate the checksums, see the section describing the trace definition files.
Trace files
Tracie supports renderdoc (.rdc), apitrace (.trace) and gfxreconstruct (.gfxr) files. Trace files need to have the correct extension so that tracie can detect them properly.
The trace files that are contained in public traces-db repositories must be legally redistributable. This is typically true for FOSS games and applications. Traces for proprietary games and application are typically not redistributable, unless specific redistribution rights have been granted by the publisher.
Trace files in a given repository are expected to be immutable once committed for the first time, so any changes need to be accompanied by a change in the file name (eg. by appending a _v2 suffix to the file).
Replaying traces
Mesa traces CI uses a set of scripts to replay traces and check the output against reference checksums.
The high level script tracie.py accepts a traces definition file and the name of the device to be tested:
tracie.py --file .gitlab-ci/traces-llvmpipe.yml --device-name gl-vmware-llvmpipe
tracie.py copies the produced artifacts to the $CI_PROJECT_DIR/result
directory. By default, created images from traces are only stored in case of a
checksum mismatch. The TRACIE_STORE_IMAGES
CI/environment variable can be set
to 1
to force storing images, e.g., to get a complete set of reference
images.
At a lower level the
dump_trace_images.py script is
called, which replays a trace, dumping a set of images in the process. By
default only the image corresponding to the last frame of the trace is dumped,
but this can be changed with the --calls
parameter. The dumped images are
stored in a subdirectory test/<device-name>
next to the trace file itself,
with names of the form tracefilename-callnum.png
. The full log of any
commands used while dumping the images is also saved in a file in the
'test/' subdirectory, named after the trace name with '.log'
appended.
Examples:
python3 dump_traces_images.py --device-name=gl-vmware-llvmpipe mytrace.trace
python3 dump_traces_images.py --device-name=gl-vmware-llvmpipe --calls=2075,3300 mytrace.trace
Running the replay scripts locally
It's often useful, especially during development, to be able to run the scripts locally.
Depending on the target 3D API, the scripts require a recent version of apitrace being in the path, and also the renderdoc python module being available, for GL traces.
To ensure python3 can find the renderdoc python module you need to set
PYTHONPATH
to point to the location of renderdoc.so
(binary python modules)
and LD_LIBRARY_PATH
to point to the location of librenderdoc.so
. In the
renderdoc build tree, both of these are in renderdoc/<builddir>/lib
. Note
that renderdoc doesn't install the renderdoc.so
python module.
In the case of Vulkan traces, the scripts need a recent version of
gfxrecon-replay being in the path, and also the
VK_LAYER_LUNARG_screenshot
Vulkan layer from LunarG's VulkanTools.
To ensure that this layer can be found when running the trace you need
to set VK_LAYER_PATH
to point to the location of
VkLayer_screenshot.json
and LD_LIBRARY_PATH
to point to the
location of libVkLayer_screenshot.so
.
In the case of DXGI traces, the scripts require Wine, a recent version
of DXVK installed in the default WINEPREFIX
, and a recent binary
version of apitrace for Windows which should be reachable through
Windows' PATH
environment variable.