[CI/Build][MiniCPM-o] Add MiniCPM-o 4.5 accuracy and performance nightly coverage (#5710)

Signed-off-by: psv666 <2693925048@qq.com>
Signed-off-by: psv666 <150513104+psv666@users.noreply.github.com>
Signed-off-by: amy-why-3459 <wuhaiyan17@huawei.com>
Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>
This commit is contained in:
psv666andamy-why-3459 authored and GitHub committed 2026-08-05 00:49:14 +08:00
1 parent a5eb2a9a87
commit 4ce5fcb16c
15 files changed
+428 -108

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@@ -0,0 +1,92 @@
# SPDX-License-Identifier: Apache-2.0
"""Offline Daily-Omni sources: local mirrors must not fall back to the Hub id."""
import json
import os
import tarfile
from pathlib import Path
import pytest
from vllm_omni.benchmarks.data_modules.daily_omni_dataset import (
daily_omni_local_qa_json,
daily_omni_local_videos_dir,
resolve_daily_omni_local_root,
)
pytestmark = [pytest.mark.core_model, pytest.mark.cpu, pytest.mark.benchmark]
def _write_qa_json(root: Path) -> Path:
qa = root / "qa.json"
qa.write_text(json.dumps([{"Question": "q", "Answer": "A", "video_id": "vid0"}]), encoding="utf-8")
return qa
def test_resolve_local_root_returns_none_for_hub_id() -> None:
assert resolve_daily_omni_local_root("liarliar/Daily-Omni") is None
assert resolve_daily_omni_local_root("") is None
assert resolve_daily_omni_local_root(None) is None
def test_plain_local_mirror(tmp_path: Path) -> None:
_write_qa_json(tmp_path)
(tmp_path / "Videos" / "vid0").mkdir(parents=True)
root = resolve_daily_omni_local_root(str(tmp_path))
assert root == tmp_path.resolve()
assert daily_omni_local_qa_json(root) == (tmp_path / "qa.json").resolve()
assert daily_omni_local_videos_dir(root) == root / "Videos"
def test_hf_cache_dir_resolves_to_snapshot(tmp_path: Path) -> None:
cache_dir = tmp_path / "datasets--liarliar--Daily-Omni"
snapshot = cache_dir / "snapshots" / "deadbeef"
snapshot.mkdir(parents=True)
_write_qa_json(snapshot)
(cache_dir / "refs").mkdir()
(cache_dir / "refs" / "main").write_text("deadbeef", encoding="utf-8")
root = resolve_daily_omni_local_root(str(cache_dir))
assert root == snapshot.resolve()
assert daily_omni_local_qa_json(root) == (snapshot / "qa.json").resolve()
def test_hf_cache_dir_without_refs_picks_newest_snapshot(tmp_path: Path) -> None:
cache_dir = tmp_path / "datasets--liarliar--Daily-Omni"
older = cache_dir / "snapshots" / "aaa"
newer = cache_dir / "snapshots" / "bbb"
older.mkdir(parents=True)
newer.mkdir(parents=True)
os.utime(older, (1, 1))
os.utime(newer, (10, 10))
assert resolve_daily_omni_local_root(str(cache_dir)) == newer.resolve()
def test_videos_tar_is_extracted(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("HF_HOME", str(tmp_path / "hf_home"))
root = tmp_path / "mirror"
(root / "Videos" / "vid0").mkdir(parents=True)
(root / "Videos" / "vid0" / "vid0_video.mp4").write_bytes(b"fake")
with tarfile.open(root / "Videos.tar", "w") as tf:
tf.add(root / "Videos", arcname="Videos")
# Only the tarball is left in the mirror.
for child in (root / "Videos").rglob("*"):
if child.is_file():
child.unlink()
(root / "Videos" / "vid0").rmdir()
(root / "Videos").rmdir()
videos_dir = daily_omni_local_videos_dir(root)
assert videos_dir is not None
assert (videos_dir / "vid0" / "vid0_video.mp4").is_file()
# Second call reuses the extraction instead of redoing it.
assert daily_omni_local_videos_dir(root) == videos_dir
def test_missing_qa_json_reports_none(tmp_path: Path) -> None:
root = resolve_daily_omni_local_root(str(tmp_path))
assert daily_omni_local_qa_json(root) is None
assert daily_omni_local_videos_dir(root) is None
+19 -25
View File
@@ -5,7 +5,8 @@
{
"hardware_marks": {
"res": {
"cuda": "H100"
"cuda": "H100",
"npu": "A3"
},
"num_cards": 1
}
@@ -30,14 +31,12 @@
"num_prompts": [
32,
64,
128,
256
128
],
"max_concurrency": [
1,
4,
8,
16
8
],
"no_oversample": true,
"trust_remote_code": true,
@@ -55,34 +54,29 @@
"percentile-metrics": "ttft,e2el,audio_ttfp,audio_rtf,audio_duration",
"baseline": {
"request_throughput": [
0.7803,
1.1008,
1.2027,
1.3254
0.5383,
0.6042,
0.7547
],
"mean_ttft_ms": [
166.9764,
307.7133,
323.584,
356.6077
333.2633,
533.8656,
547.3388
],
"mean_e2el_ms": [
1361.1682,
3800.6332,
6961.8636,
12609.4295
1857.2154,
6600.5101,
10450.6811
],
"mean_audio_ttfp_ms": [
635.8099,
1615.6591,
2888.9831,
8320.5422
986.4666,
3411.0754,
3352.7515
],
"mean_audio_rtf": [
0.3151,
0.8568,
1.5425,
2.8224
0.4423,
1.5734,
2.3024
]
}
}
@@ -5,7 +5,8 @@
{
"hardware_marks": {
"res": {
"cuda": "H100"
"cuda": "H100",
"npu": "A3"
},
"num_cards": 1
}
@@ -39,10 +39,7 @@ _MAX_SEED_TTS_MEAN_WER = 0.05
# Match the validated Daily-Omni client body from daily_omni_bench.sh.
_DAILY_EXTRA_BODY = {
"modalities": ["text"],
"chat_template_kwargs": {
"enable_thinking": False,
"use_tts_template": True,
},
"chat_template_kwargs": {"enable_thinking": False},
}
_SEED_EXTRA_BODY = {
"modalities": ["text", "audio"],
@@ -151,6 +148,7 @@ def test_minicpmo_4_5_seed_tts_wer_bench(omni_server) -> None:
omni_server,
skip_seed=False,
skip_daily=True,
max_concurrency=4,
)
argv.extend(
[
@@ -963,12 +963,23 @@ async def _send_clean_turn(
if outcome == "listen":
return None, "listen"
else:
await _wait_for(
state,
lambda: state.count("response.created") > before_created,
timeout_s=timeout_s,
label=f"{transcript} response.created",
)
try:
await _wait_for(
state,
lambda: state.count("response.created") > before_created,
timeout_s=timeout_s,
label=f"{transcript} response.created",
)
except TimeoutError:
# ``auto_response`` sessions only get ``response.created`` once the model
# decides to speak, so report the listen decisions that took its place.
raise TimeoutError(
f"Timed out waiting for {transcript} response.created after "
f"{state.count('input_audio_buffer.committed')} committed input turns; "
f"model_listen={state.model_listen_count - before_model_listen} "
f"buffering_listen={state.buffering_listen_count} "
f"errors={state.count('error')}"
) from None
await _wait_for(
state,
lambda: eligible_response_id() is not None,
@@ -133,6 +133,10 @@ def test_duplex_single_session_response_required(omni_server, model_prefix: str,
output_dir=tmp_path / "single_session",
)
args.turns = 2
# Every turn replays the same active-speech window as the first one. The default
# shorter follow-up window is a different mid-utterance slice, which the native
# duplex model may legitimately answer with "listen" instead of a response.
args.turn_duration_ms = [args.first_turn_ms] * args.turns
result = asyncio.run(run_demo(args))
assert result["ok"] is True
assert result["audio_delta_count"] > 0
@@ -53,7 +53,11 @@ def test_duplex_admission_and_expiry_reaper(omni_server, model_prefix: str, tmp_
assert result["admission"]["overflow_error_code"] == "resource_exhausted"
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
# CUDA-only for now: this contract asserts the model speaks while the user is
# still talking, which only holds when the duplex pipeline sustains real-time
# throughput. The current NPU stack runs several times slower than real time,
# so it never reaches a mid-stream decision point.
@hardware_test(res={"cuda": "H100"}, num_cards=1)
@pytest.mark.parametrize("omni_server", SERVER_PARAMS, indirect=True)
def test_duplex_soft_interrupt(omni_server, model_prefix: str, tmp_path: Path) -> None:
input_wav = validated_soft_interrupt_wav()
+5 -3
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@@ -74,9 +74,11 @@ def validated_soft_interrupt_wav() -> Path:
def resolve_ref_audio(model_prefix: str) -> Path:
if model_prefix:
model_root = Path(model_prefix) / MODEL
else:
# ``MODEL`` may be a local checkpoint directory instead of a Hub repo id
# (``Path("/prefix") / "/abs/path"`` collapses to the absolute path), so only
# fall back to the Hub cache when no such directory exists on disk.
model_root = Path(model_prefix) / MODEL if model_prefix else Path(MODEL)
if not model_root.is_dir():
model_root = Path(snapshot_download(MODEL, local_files_only=True))
ref_audio = model_root / REF_AUDIO_RELATIVE_PATH
if not ref_audio.is_file():