[Benchmark][1/2] Generalize SLA criterion validation from binary flags to margins (#32075)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
202
tests/benchmarks/sweep/test_serve_sla.py
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202
tests/benchmarks/sweep/test_serve_sla.py
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from collections.abc import Callable
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from pathlib import Path
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from unittest.mock import patch
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from vllm.benchmarks.sweep.param_sweep import ParameterSweepItem
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from vllm.benchmarks.sweep.serve_sla import _estimate_sla_bounds, _find_sla_value
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from vllm.benchmarks.sweep.server import ServerProcess
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from vllm.benchmarks.sweep.sla_sweep import (
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SLACriterionBase,
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SLALessThan,
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SLALessThanOrEqualTo,
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SLASweepItem,
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)
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def _set_return_value(
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var2metric: Callable[[ParameterSweepItem], list[dict[str, float]]],
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):
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"""
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Create a patch for run_sla with a specific function
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indicating the relationship between the benchmark combination
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(which includes the SLA variable) and the SLA criterion.
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"""
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def mock_run_sla(
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server: ServerProcess | None,
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bench_cmd: list[str],
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*,
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serve_comb: ParameterSweepItem,
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bench_comb: ParameterSweepItem,
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iter_path: Path,
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num_runs: int,
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dry_run: bool,
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):
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return var2metric(bench_comb)
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return patch("vllm.benchmarks.sweep.serve_sla.run_sla", side_effect=mock_run_sla)
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def _var2metric_identity(bench_comb):
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return [{"request_throughput": float(bench_comb["request_rate"])}]
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def _run_estimate_sla_bounds(
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var2metric: Callable[[ParameterSweepItem], list[dict[str, float]]],
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criterion: SLACriterionBase,
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init_value: int,
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max_value: int,
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):
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with _set_return_value(var2metric):
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return _estimate_sla_bounds(
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server=None,
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bench_cmd=[],
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serve_comb=ParameterSweepItem(),
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bench_comb=ParameterSweepItem(),
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sla_comb=SLASweepItem({"request_throughput": criterion}),
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base_path=Path(""),
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num_runs=1,
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dry_run=False,
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sla_variable="request_rate",
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init_value=init_value,
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max_value=max_value,
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)
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def test_estimate_sla_bounds_le():
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sla_data, (max_passing, min_failing), history = _run_estimate_sla_bounds(
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_var2metric_identity,
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SLALessThanOrEqualTo(target=32),
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init_value=1,
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max_value=100,
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)
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assert max_passing == 32
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assert min_failing == 64
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assert {val: margin <= 0 for val, margin in history.items()} == {
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1: True,
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2: True,
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4: True,
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8: True,
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16: True,
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32: True,
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64: False,
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}
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def test_estimate_sla_bounds_lt():
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sla_data, (max_passing, min_failing), history = _run_estimate_sla_bounds(
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_var2metric_identity,
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SLALessThan(target=32),
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init_value=1,
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max_value=100,
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)
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assert max_passing == 16
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assert min_failing == 32
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assert {val: margin <= 0 for val, margin in history.items()} == {
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1: True,
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2: True,
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4: True,
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8: True,
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16: True,
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32: False,
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}
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def test_estimate_sla_bounds_oob():
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sla_data, (max_passing, min_failing), history = _run_estimate_sla_bounds(
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_var2metric_identity,
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SLALessThanOrEqualTo(target=32),
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init_value=64,
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max_value=128,
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)
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assert max_passing == 0
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assert min_failing == 64
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assert {val: margin <= 0 for val, margin in history.items()} == {
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64: False,
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}
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def _run_test_find_sla_value_le(
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var2metric: Callable[[ParameterSweepItem], list[dict[str, float]]],
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criterion: SLACriterionBase,
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min_value: int,
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max_value: int,
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):
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with _set_return_value(var2metric):
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return _find_sla_value(
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server=None,
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bench_cmd=[],
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serve_comb=ParameterSweepItem(),
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bench_comb=ParameterSweepItem(),
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sla_comb=SLASweepItem({"request_throughput": criterion}),
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base_path=Path(""),
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num_runs=1,
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dry_run=False,
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sla_variable="request_rate",
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min_value=min_value,
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max_value=max_value,
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)
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def test_find_sla_value_le():
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sla_data, sla_value, history = _run_test_find_sla_value_le(
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_var2metric_identity,
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SLALessThanOrEqualTo(target=50.0),
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min_value=32,
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max_value=64,
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)
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assert sla_value == 50
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assert {val: margin <= 0 for val, margin in history.items()} == {
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48: True,
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56: False,
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52: False,
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50: True,
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51: False,
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}
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def test_find_sla_value_lt():
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sla_data, sla_value, history = _run_test_find_sla_value_le(
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_var2metric_identity,
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SLALessThan(target=50.0),
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min_value=32,
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max_value=64,
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)
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assert sla_value == 49
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assert {val: margin <= 0 for val, margin in history.items()} == {
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48: True,
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56: False,
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52: False,
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50: False,
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49: True,
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}
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def test_find_sla_value_oob():
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sla_data, sla_value, history = _run_test_find_sla_value_le(
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_var2metric_identity,
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SLALessThanOrEqualTo(target=50.0),
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min_value=64,
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max_value=128,
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)
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assert sla_value == 64
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assert {val: margin <= 0 for val, margin in history.items()} == {
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96: False,
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80: False,
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72: False,
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68: False,
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66: False,
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65: False,
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64: False,
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}
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