summaryrefslogtreecommitdiff
path: root/.gitlab-ci/generate_lava.py
diff options
context:
space:
mode:
authorNeil Armstrong <narmstrong@baylibre.com>2019-09-20 15:43:19 +0200
committerTomeu Vizoso <tomeu.vizoso@collabora.com>2019-12-03 06:44:08 +0100
commitdde734030bcdac40e63a0b251903c0281db170ee (patch)
treebce76cc1e38b00ecae650bcc29b84a19e992228c /.gitlab-ci/generate_lava.py
parent502548a09c5a87d06da97be45a2386bb1e5e800e (diff)
Add support for T820 CI Jobs
Tomeu: - Small rebase fixups Signed-off-by: Neil Armstrong <narmstrong@baylibre.com> Signed-off-by: Tomeu Vizoso <tomeu.vizoso@collabora.com>
Diffstat (limited to '.gitlab-ci/generate_lava.py')
-rwxr-xr-x.gitlab-ci/generate_lava.py13
1 files changed, 13 insertions, 0 deletions
diff --git a/.gitlab-ci/generate_lava.py b/.gitlab-ci/generate_lava.py
index e7abd8407ad..b2c8c296beb 100755
--- a/.gitlab-ci/generate_lava.py
+++ b/.gitlab-ci/generate_lava.py
@@ -9,30 +9,42 @@ device_types = {
"boot_method": "u-boot",
"lava_device_type": "sun50i-h6-pine-h64",
"kernel_image_type": "type: image",
+ "tags": [],
},
"rk3288-veyron-jaq": {
"gpu_version": "panfrost-t760",
"boot_method": "depthcharge",
"lava_device_type": "rk3288-veyron-jaq",
"kernel_image_type": "",
+ "tags": [],
},
"rk3399-gru-kevin": {
"gpu_version": "panfrost-t860",
"boot_method": "depthcharge",
"lava_device_type": "rk3399-gru-kevin",
"kernel_image_type": "",
+ "tags": [],
},
"sun8i-h3-libretech-all-h3-cc": {
"gpu_version": "lima",
"boot_method": "u-boot",
"lava_device_type": "sun8i-h3-libretech-all-h3-cc",
"kernel_image_type": "type: zimage",
+ "tags": [],
},
"meson-gxl-s905x-libretech-cc": {
"gpu_version": "lima",
"boot_method": "u-boot",
"lava_device_type": "meson-gxl-s905x-libretech-cc",
"kernel_image_type": "type: image",
+ "tags": [],
+ },
+ "meson-gxm-khadas-vim2": {
+ "gpu_version": "panfrost-t820",
+ "boot_method": "u-boot",
+ "lava_device_type": "meson-gxm-khadas-vim2",
+ "kernel_image_type": "type: image",
+ "tags": ["panfrost"],
},
}
@@ -57,6 +69,7 @@ for device_type in args.device_types:
values['gpu_version'] = device_types[device_type]['gpu_version']
values['boot_method'] = device_types[device_type]['boot_method']
values['kernel_image_type'] = device_types[device_type]['kernel_image_type']
+ values['tags'] = device_types[device_type]['tags']
f = open('results/lava-deqp-%s.yml' % device_type, "w")
f.write(template.render(values))