[CI][NPU]: Add nightly performance test for NPU - qwen3-omni/wan2.2/qwen-image-edit-2511 (#5339)

Signed-off-by: Weiming Liao <liaowm5@gmail.com>
Co-authored-by: wangyu <53896905+yenuo26@users.noreply.github.com>
This commit is contained in:
Weiming Liaoandwangyu authored and GitHub committed 2026-07-28 11:44:30 +08:00
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commit f2c5152df0
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@@ -1,25 +1,59 @@
steps:
- group: ":card_index_dividers: Diffusion X2V Model Test"
key: nightly-diffusion-x2v-group
- group: ":card_index_dividers: Omni Model Test"
key: nightly-omni-test-group
depends_on: upload-nightly-pipeline
if: >-
build.env("NIGHTLY") == "1" ||
build.pull_request.labels includes "nightly-test" ||
build.pull_request.labels includes "diffusion-x2v-test"
build.pull_request.labels includes "omni-test"
steps:
- label: ":full_moon: Diffusion X2V · Function Test"
mirror_hardwares: a2b3_npu_4
- label: ":full_moon: Omni · Perf Test · No Async Chunk"
key: nightly-omni-performance-no-async-chunk
timeout_in_minutes: 180
mirror_hardwares: a3_npu_4
env:
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_ALLOW_LONG_MAX_MODEL_LEN: "1"
HF_TOKEN: "${HF_TOKEN}"
commands:
- pytest -s -v tests/e2e/online_serving/test_wan22_expansion.py -k npu_i2v --run-level "full_model"
- export BENCHMARK_DIR=tests/dfx/perf/results
- |
set +e
pytest -s -v tests/dfx/perf/scripts/run_benchmark.py -m npu --test-config-file tests/dfx/perf/tests/test_qwen3_omni_no_async_chunk.json
EXIT=$$?
buildkite-agent artifact upload "tests/dfx/perf/results/*.json"
exit $$EXIT
- label: ":full_moon: Omni · Perf Test · Async Chunk"
key: nightly-omni-performance-async-chunk
timeout_in_minutes: 180
mirror_hardwares: a3_npu_4
env:
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_ALLOW_LONG_MAX_MODEL_LEN: "1"
HF_TOKEN: "${HF_TOKEN}"
commands:
- export BENCHMARK_DIR=tests/dfx/perf/results
- |
set +e
pytest -s -v tests/dfx/perf/scripts/run_benchmark.py -m npu --test-config-file tests/dfx/perf/tests/test_qwen3_omni_async_chunk.json
EXIT=$$?
buildkite-agent artifact upload "tests/dfx/perf/results/*.json"
exit $$EXIT
- label: ":robot: Omni · MiniCPM-o 4.5 Test"
mirror_hardwares: a3_npu_2
env:
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_ALLOW_LONG_MAX_MODEL_LEN: "1"
HF_TOKEN: "${HF_TOKEN}"
commands:
- pytest -s -v tests/e2e/offline_inference/test_minicpmo_4_5.py tests/e2e/online_serving/test_minicpmo_4_5.py tests/e2e/online_serving/test_minicpmo_4_5_expansion.py -m 'full_model' --run-level 'full_model'
- group: ":card_index_dividers: TTS Model Test"
key: nightly-tts-test-group
depends_on: upload-nightly-pipeline
if: build.env("NIGHTLY") == "1" || build.pull_request.labels includes "nightly-test" || build.pull_request.labels includes "tts-test"
steps:
- label: ":full_moon: TTS · Perf Test"
timeout_in_minutes: 180
mirror_hardwares: a3_npu_2
env:
VLLM_WORKER_MULTIPROC_METHOD: spawn
@@ -34,25 +68,56 @@ steps:
EXIT=$$?
buildkite-agent artifact upload "tests/dfx/perf/results/*.json"
exit $$EXIT
- group: ":card_index_dividers: Omni Model Test"
key: nightly-omni-group
- group: ":card_index_dividers: Diffusion X2I(&A&T) Model Test"
key: nightly-diffusion-x2iat-group
depends_on: upload-nightly-pipeline
if: build.env("NIGHTLY") == "1" || build.pull_request.labels includes "nightly-test" || build.pull_request.labels includes "omni-test"
if: >-
build.env("NIGHTLY") == "1" ||
build.pull_request.labels includes "nightly-test" ||
build.pull_request.labels includes "diffusion-x2iat-test"
steps:
- label: ":robot: Omni · MiniCPM-o 4.5 Test"
agents:
queue: "ascend-a3"
resource_class: "npu-2"
image: "swr.cn-southwest-2.myhuaweicloud.com/modelfoundry/vllm-omni-ci-npu:${BUILDKITE_COMMIT}-a3"
plugins:
- kubernetes:
podSpecPatch:
imagePullSecrets:
- name: swr-secret
- label: ":full_moon: Diffusion X2I(&A&T) · Perf Test · Qwen-Image-Edit-2511"
key: nightly-diffusion-x2iat-performance-qwen-image-edit-2511
timeout_in_minutes: 180
mirror_hardwares: a3_npu_8
env:
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_ALLOW_LONG_MAX_MODEL_LEN: "1"
HF_TOKEN: "${HF_TOKEN}"
DIFFUSION_ATTENTION_BACKEND: TORCH_SDPA
commands:
- pytest -s -v tests/e2e/offline_inference/test_minicpmo_4_5.py tests/e2e/online_serving/test_minicpmo_4_5.py tests/e2e/online_serving/test_minicpmo_4_5_expansion.py -m 'full_model' --run-level 'full_model'
- export DIFFUSION_BENCHMARK_DIR=tests/dfx/perf/results
- export CACHE_DIT_VERSION=1.3.0
- |
set +e
pytest -s -v tests/dfx/perf/scripts/run_diffusion_benchmark.py -m npu --test-config-file tests/dfx/perf/tests/test_qwen_image_edit_2511_vllm_omni.json
EXIT=$$?
buildkite-agent artifact upload "tests/dfx/perf/results/diffusion_result_*.json"
buildkite-agent artifact upload "tests/dfx/perf/results/logs/*.log"
exit $$EXIT
- group: ":card_index_dividers: Diffusion X2V Model Test"
key: nightly-diffusion-x2v-group
depends_on: upload-nightly-pipeline
if: >-
build.env("NIGHTLY") == "1" ||
build.pull_request.labels includes "nightly-test" ||
build.pull_request.labels includes "diffusion-x2v-test"
steps:
- label: ":full_moon: Diffusion X2V · Perf Test"
key: nightly-diffusion-x2v-performance
timeout_in_minutes: 180
mirror_hardwares: a3_npu_4
env:
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_ALLOW_LONG_MAX_MODEL_LEN: "1"
HF_TOKEN: "${HF_TOKEN}"
DIFFUSION_ATTENTION_BACKEND: TORCH_SDPA
commands:
- export DIFFUSION_BENCHMARK_DIR=tests/dfx/perf/results
- |
set +e
pytest -s -v tests/dfx/perf/scripts/run_diffusion_benchmark.py -m npu --test-config-file tests/dfx/perf/tests/test_wan22_i2v_vllm_omni.json
EXIT=$$?
buildkite-agent artifact upload "tests/dfx/perf/results/diffusion_result_*.json"
buildkite-agent artifact upload "tests/dfx/perf/results/logs/*.log"
exit $$EXIT
+4
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@@ -37,6 +37,10 @@ RUN source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
"pyttsx3>=2.99" \
"opencv-python>=4.12.0.88" \
"imageio[ffmpeg]>=0.6.0" \
"jiwer>=3.0.0" \
"zhon>=2.0.0" \
"zhconv>=1.4.2" \
"funasr>=1.0.0" \
"hyperpyyaml>=1.2.0" \
"onnx>=1.16.0" \
"librosa>=0.10.0" \
+4
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@@ -37,6 +37,10 @@ RUN source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
"pyttsx3>=2.99" \
"opencv-python>=4.12.0.88" \
"imageio[ffmpeg]>=0.6.0" \
"jiwer>=3.0.0" \
"zhon>=2.0.0" \
"zhconv>=1.4.2" \
"funasr>=1.0.0" \
"hyperpyyaml>=1.2.0" \
"onnx>=1.16.0" \
"librosa>=0.10.0" \
@@ -355,6 +355,17 @@ def _kill_process_tree(pid: int) -> None:
# ---------------------------------------------------------------------------
def _resolve_offline_model(model: str) -> str:
"""Under HF_HUB_OFFLINE, resolve a HF repo id to its local snapshot dir."""
import huggingface_hub
if not model or os.path.isdir(model) or not huggingface_hub.constants.HF_HUB_OFFLINE:
return model
from huggingface_hub import snapshot_download
return snapshot_download(model, local_files_only=True)
class DiffusionServer:
"""Start a vLLM-Omni diffusion model server as a subprocess.
@@ -372,7 +383,7 @@ class DiffusionServer:
port: int | None = None,
) -> None:
self.server_cfg: dict[str, Any] = server_cfg
self.model = server_cfg["model"]
self.model = _resolve_offline_model(server_cfg["model"])
self.serve_args = server_cfg["serve_args"]
self.host = "127.0.0.1"
self.port = port if port is not None else get_open_port(self.host)
@@ -5,7 +5,8 @@
{
"hardware_marks": {
"res": {
"cuda": "H100"
"cuda": "H100",
"npu": "A3"
},
"num_cards": 2
}
@@ -5,7 +5,8 @@
{
"hardware_marks": {
"res": {
"cuda": "H100"
"cuda": "H100",
"npu": "A3"
},
"num_cards": 2
}
@@ -66,7 +66,8 @@
{
"hardware_marks": {
"res": {
"cuda": "H100"
"cuda": "H100",
"npu": "A3"
},
"num_cards": 4
}
@@ -55,7 +55,8 @@
{
"hardware_marks": {
"res": {
"cuda": "H100"
"cuda": "H100",
"npu": "A3"
},
"num_cards": 2
}