[CI][ROCm] Route LTX2 Ulysses parity to two-GPU lane (#7234)

Signed-off-by: andyluo7 <andy.luo@amd.com>
This commit is contained in:
andyluo7 authored and GitHub committed 2026-09-08 22:59:37 +08:00
1 parent 7422a85cc7
commit de1b0708bd
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@@ -107,6 +107,11 @@ steps:
- export VLLM_LOGGING_LEVEL=DEBUG
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- timeout 20m pytest -s -v tests/diffusion/distributed/test_sequence_parallel.py -m core_model
- >-
timeout 20m pytest -s -v
tests/diffusion/models/ltx2/test_ltx2_transformer_ulysses.py
-m 'core_model and rocm and cards_2'
--run-level "core_model"
- label: "Diffusion GPU Worker Test"
agent_pool: mi300_2
@@ -122,7 +127,13 @@ steps:
mirror_hardwares: [amdproduction]
grade: Blocking
commands:
- timeout 15m pytest -sv tests/diffusion/models/ -m 'core_model and cuda' --run-level "core_model"
# Preserve legacy one-GPU tests without cards_1 while excluding every
# registered multi-GPU marker from this one-GPU job.
- >-
timeout 15m pytest -sv tests/diffusion/models/
-m 'core_model and cuda and not
(cards_2 or cards_3 or cards_4 or cards_5 or cards_6 or cards_7 or cards_8)'
--run-level "core_model"
- label: "Diffusion · Wan22 Test"
agent_pool: mi300_1
@@ -156,10 +156,14 @@ def _run_transformer_parity(rank: int, world_size: int, master_port: int) -> Non
@pytest.mark.full_model
@hardware_test(res={"cuda": "L4"}, num_cards=2)
@hardware_test(res={"cuda": "L4", "rocm": "MI325"}, num_cards=2)
def test_ltx_ulysses_transformer_matches_sp1(unused_tcp_port) -> None:
"""Exercise real plan hooks, RoPE/timestep sharding, and attention routing."""
world_size = 2
device_count = current_omni_platform.device_count()
assert device_count >= world_size, (
f"LTX Ulysses parity requires {world_size} accelerator devices; only {device_count} are visible"
)
torch.multiprocessing.spawn(
_run_transformer_parity,
args=(world_size, unused_tcp_port),