[CI/Build] Resolve hardware-nested perf baselines per concurrency sweep (#5845)
Signed-off-by: wangyu <410167048@qq.com> Signed-off-by: [Your Name] <your.email@example.com> Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>
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@@ -17,7 +17,7 @@ def test_task_excluded_from_cli_args():
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"backend": "openai-audio-speech",
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"endpoint": "/v1/audio/speech",
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"percentile-metrics": "audio_rtf,audio_ttfp",
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"baseline": {"mean_audio_rtf": [0.5]},
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"baseline": {"H100": {"mean_audio_rtf": [0.5]}},
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}
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exclude_keys = {
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"request_rate",
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@@ -123,35 +123,6 @@ def test_resolve_pytest_marks_rejects_legacy_object_format():
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)
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def test_extract_mark_resource_label():
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from tests.dfx.conftest import extract_mark_resource_label
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assert extract_mark_resource_label(None) == "na"
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assert (
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extract_mark_resource_label(
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[
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{"hardware_marks": {"res": {"cuda": "H100"}, "num_cards": 1}},
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"full_model",
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]
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)
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== "H100"
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)
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assert (
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extract_mark_resource_label(
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[
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{
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"hardware_marks": {
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"res": {"cuda": "H100", "rocm": "MI325"},
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"num_cards": 2,
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}
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},
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"diffusion",
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]
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)
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== "H100-MI325"
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)
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def test_resource_label_for_filename():
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from tests.dfx.conftest import resource_label_for_filename
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@@ -169,16 +140,14 @@ def test_hardware_json_value():
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assert hardware_json_value(None) == ""
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def test_extract_configs_resource_label(monkeypatch):
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from tests.dfx.conftest import extract_configs_resource_label, get_runtime_resource_label
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def test_get_runtime_resource_label(monkeypatch):
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from tests.dfx.conftest import get_runtime_resource_label
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monkeypatch.setattr(
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"tests.dfx.conftest._read_runtime_device_name",
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lambda *, device_id=0: "NVIDIA H100 80GB HBM3",
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)
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get_runtime_resource_label(refresh=True)
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assert extract_configs_resource_label([]) == "H100"
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get_runtime_resource_label(refresh=True)
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assert get_runtime_resource_label(refresh=True) == "H100"
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monkeypatch.setattr(
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"tests.dfx.conftest._read_runtime_device_name",
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lambda *, device_id=0: "Ascend910B2",
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@@ -336,3 +305,183 @@ def test_paired_omni_benchmark_reuses_server_and_preserves_case_metadata(tmp_pat
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("start", tts_server),
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("stop", tts_server),
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]
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def test_is_hardware_nested_baseline():
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from tests.dfx.conftest import (
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_RUNTIME_DEVICE_ALIASES,
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is_hardware_nested_baseline,
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)
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from tests.helpers.mark import get_hardware_mark_list
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hardware_marks = get_hardware_mark_list()
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assert hardware_marks
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assert {"H100", "L4", "A3", "MI325", "B200"} <= hardware_marks
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assert "cuda" not in hardware_marks
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assert "full_model" not in hardware_marks
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# Runtime aliases are a full static list (independent of baseline allowlist).
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assert "H100" in _RUNTIME_DEVICE_ALIASES
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assert "A100" in _RUNTIME_DEVICE_ALIASES
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assert is_hardware_nested_baseline(
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{
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"H100": {"mean_ttft_ms": [1.0, 2.0], "mean_e2el_ms": [10.0, 20.0]},
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"A3": {"mean_ttft_ms": [0.9, 1.8], "mean_e2el_ms": [9.0, 18.0]},
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}
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)
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# Custom metric names under a known hardware label are allowed.
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assert is_hardware_nested_baseline({"H100": {"custom_stage_ms": 12.0, "foo_bar": [1.0, 2.0]}})
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assert is_hardware_nested_baseline({"A3": {"request_throughput": 0.5}})
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# Flat metric maps / concurrency-keyed maps are not hardware-nested.
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assert not is_hardware_nested_baseline({"mean_ttft_ms": [1.0, 2.0], "mean_e2el_ms": [10.0, 20.0]})
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assert not is_hardware_nested_baseline({"mean_ttft_ms": {"1": 1.0, "32": 2.0}})
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assert not is_hardware_nested_baseline({})
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# Alias-only labels (not [hardware-resource] markers) are rejected for baselines.
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assert not is_hardware_nested_baseline({"A100": {"throughput_qps": 1.0}})
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# Unknown top-level hardware label is rejected.
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assert not is_hardware_nested_baseline({"UnknownGPU": {"throughput_qps": 1.0}})
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# Empty per-hardware metric map is rejected.
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assert not is_hardware_nested_baseline({"H100": {}})
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def test_resolve_baseline_for_sweep_keeps_all_hardware_for_one_concurrency():
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from tests.dfx.conftest import resolve_baseline_for_sweep
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baseline = {
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"H100": {
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"mean_ttft_ms": [96.4, 140.8, 271.9, 362.3, 507.8],
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"mean_e2el_ms": [18507.0, 28365.0, 31907.0, 48161.0, 72630.0],
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},
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"A3": {
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"mean_ttft_ms": [90.0, 130.0, 250.0, 340.0, 480.0],
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"mean_e2el_ms": [17000.0, 26000.0, 30000.0, 45000.0, 70000.0],
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},
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}
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# max_concurrency=[1,4,8,16,32] -> index 4 is concurrency 32
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got = resolve_baseline_for_sweep(baseline, sweep_index=4)
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assert got == {
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"H100": {"mean_ttft_ms": 507.8, "mean_e2el_ms": 72630.0},
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"A3": {"mean_ttft_ms": 480.0, "mean_e2el_ms": 70000.0},
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}
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# First sweep step keeps both hardware buckets too.
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got0 = resolve_baseline_for_sweep(baseline, sweep_index=0)
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assert set(got0) == {"H100", "A3"}
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assert got0["H100"]["mean_ttft_ms"] == 96.4
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assert got0["A3"]["mean_ttft_ms"] == 90.0
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def test_resolve_baseline_for_sweep_rejects_flat_baseline():
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from tests.dfx.conftest import resolve_baseline_for_sweep
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with pytest.raises(ValueError, match=r"hardware-nested.*pyproject\.toml"):
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resolve_baseline_for_sweep(
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{"throughput_qps": [0.4, 0.6], "latency_mean": [1.0, 2.0]},
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sweep_index=1,
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)
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def test_resolve_baseline_for_sweep_rejects_unknown_hardware_label():
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from tests.dfx.conftest import resolve_baseline_for_sweep
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with pytest.raises(ValueError, match=r"Unknown hardware label\(s\): \['A100'\].*pyproject\.toml"):
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resolve_baseline_for_sweep(
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{"A100": {"throughput_qps": 1.0}},
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sweep_index=0,
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)
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def test_resolve_baseline_for_sweep_supports_list_and_scalar_under_hardware():
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from tests.dfx.conftest import resolve_baseline_for_sweep
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# Sweep-aligned lists under each hardware bucket (canonical form).
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listed = {
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"H100": {"throughput_qps": [0.4, 0.6, 0.8], "latency_mean": [1.0, 2.0, 3.0]},
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"A3": {"throughput_qps": [0.5, 0.7, 0.9], "latency_mean": [0.9, 1.8, 2.7]},
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}
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assert resolve_baseline_for_sweep(listed, sweep_index=1) == {
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"H100": {"throughput_qps": 0.6, "latency_mean": 2.0},
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"A3": {"throughput_qps": 0.7, "latency_mean": 1.8},
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}
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# Scalars under hardware stay as-is (single-concurrency cases).
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scalar = {"H100": {"throughput_qps": 0.5}}
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assert resolve_baseline_for_sweep(scalar, sweep_index=0) == {"H100": {"throughput_qps": 0.5}}
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# Custom metric names are preserved.
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custom = {"H100": {"custom_stage_ms": [10.0, 20.0]}}
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assert resolve_baseline_for_sweep(custom, sweep_index=1) == {"H100": {"custom_stage_ms": 20.0}}
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assert resolve_baseline_for_sweep(None) == {}
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assert resolve_baseline_for_sweep({}) == {}
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def test_resolve_baseline_value_errors():
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from tests.dfx.conftest import resolve_baseline_value
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with pytest.raises(ValueError, match="sweep_index"):
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resolve_baseline_value([1.0, 2.0], sweep_index=None)
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with pytest.raises(IndexError):
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resolve_baseline_value([1.0], sweep_index=1)
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with pytest.raises(TypeError, match="not supported"):
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resolve_baseline_value({"1": 0.4}, sweep_index=0)
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def test_diffusion_build_run_params_resolves_baseline_per_sweep(tmp_path, monkeypatch):
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"""``_build_run_params`` / ``_iter_sweep_runs`` narrow list baselines per concurrency."""
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import importlib
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import sys
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cfg = tmp_path / "mini_diffusion_perf.json"
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cfg.write_text(
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json.dumps(
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[
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{
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"test_name": "test_mini",
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"server_type": "vllm-omni",
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"mark": [
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{"hardware_marks": {"res": {"cuda": "H100"}, "num_cards": 1}},
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"diffusion",
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"full_model",
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],
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"server_params": {"model": "m/mini"},
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"benchmark_params": [{"name": "p0", "num-prompts": 1, "max-concurrency": 1}],
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}
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]
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),
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encoding="utf-8",
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)
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monkeypatch.setattr(sys, "argv", ["pytest", "--test-config-file", str(cfg)])
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sys.modules.pop("tests.dfx.perf.scripts.run_diffusion_benchmark", None)
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from tests.dfx.perf.scripts import run_diffusion_benchmark as rdb
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importlib.reload(rdb)
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params = {
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"name": "c_sweep",
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"dataset": "random",
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"task": "t2i",
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"num-prompts": [8, 16, 32],
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"max-concurrency": [1, 8, 32],
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"baseline": {
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"H100": {"throughput_qps": [0.1, 0.2, 0.3], "latency_mean": [10.0, 20.0, 30.0]},
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"A3": {"throughput_qps": [0.11, 0.22, 0.33], "latency_mean": [9.0, 19.0, 29.0]},
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},
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}
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run32 = rdb._build_run_params(
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params,
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num_prompts=32,
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max_concurrency=32,
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request_rate="inf",
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sweep_index=2,
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)
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assert run32["max-concurrency"] == 32
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assert run32["baseline"] == {
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"H100": {"throughput_qps": 0.3, "latency_mean": 30.0},
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"A3": {"throughput_qps": 0.33, "latency_mean": 29.0},
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}
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sweeps = rdb._iter_sweep_runs(params)
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assert len(sweeps) == 3
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assert sweeps[2]["params"]["max-concurrency"] == 32
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assert sweeps[2]["params"]["baseline"]["H100"]["throughput_qps"] == 0.3
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assert "A3" in sweeps[2]["params"]["baseline"]
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assert not isinstance(sweeps[2]["params"]["baseline"]["H100"]["throughput_qps"], list)
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