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[Benchmark] Improve UX of sweep scripts (#35600)

Browse Source 
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2026-02-28 16:36:02 +08:00
committed by GitHub
parent 24d6ea8afd
commit 4292e3b807
6 changed files with 191 additions and 128 deletions
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24
docs/benchmarking/sweeps.md
View File

@@ -72,7 +72,7 @@ Follow these steps to run the script:
]
```
5. Determine where you want to save the results, and pass that to `--output-dir`.
5. Set `--output-dir` and optionally `--experiment-name` to control where to save the results.
Example command:
@@ -82,7 +82,8 @@ vllm bench sweep serve \
--bench-cmd 'vllm bench serve --model meta-llama/Llama-2-7b-chat-hf --backend vllm --endpoint /v1/completions --dataset-name sharegpt --dataset-path benchmarks/ShareGPT_V3_unfiltered_cleaned_split.json' \
--serve-params benchmarks/serve_hparams.json \
--bench-params benchmarks/bench_hparams.json \
-o benchmarks/results
--output-dir benchmarks/results \
--experiment-name demo
```
By default, each parameter combination is benchmarked 3 times to make the results more reliable. You can adjust the number of runs by setting `--num-runs`.
@@ -118,7 +119,8 @@ vllm bench sweep serve_workload \
--serve-params benchmarks/serve_hparams.json \
--bench-params benchmarks/bench_hparams.json \
--num-runs 1 \
-o benchmarks/results
--output-dir benchmarks/results \
--experiment-name demo
```
The algorithm for exploring different workload levels can be summarized as follows:
@@ -186,7 +188,8 @@ vllm bench sweep startup \
--startup-cmd 'vllm bench startup --model Qwen/Qwen3-0.6B' \
--serve-params benchmarks/serve_hparams.json \
--startup-params benchmarks/startup_hparams.json \
-o benchmarks/results
--output-dir benchmarks/results \
--experiment-name demo
```
!!! important
@@ -204,11 +207,10 @@ Control the variables to plot via `--var-x` and `--var-y`, optionally applying `
Example commands for visualizing [Workload Explorer](#workload-explorer) results:
```bash
# Name of the directory that stores the results
TIMESTAMP=$1
EXPERIMENT_DIR=${1:-"benchmarks/results/demo"}
# Latency increases as the workload increases
vllm bench sweep plot benchmarks/results/$TIMESTAMP \
vllm bench sweep plot $EXPERIMENT_DIR \
--var-x max_concurrency \
--var-y median_ttft_ms \
--col-by _benchmark_name \
@@ -216,7 +218,7 @@ vllm bench sweep plot benchmarks/results/$TIMESTAMP \
--fig-name latency_curve
# Throughput saturates as workload increases
vllm bench sweep plot benchmarks/results/$TIMESTAMP \
vllm bench sweep plot $EXPERIMENT_DIR \
--var-x max_concurrency \
--var-y total_token_throughput \
--col-by _benchmark_name \
@@ -224,7 +226,7 @@ vllm bench sweep plot benchmarks/results/$TIMESTAMP \
--fig-name throughput_curve
# Tradeoff between latency and throughput
vllm bench sweep plot benchmarks/results/$TIMESTAMP \
vllm bench sweep plot $EXPERIMENT_DIR \
--var-x total_token_throughput \
--var-y median_ttft_ms \
--col-by _benchmark_name \
@@ -249,7 +251,9 @@ Higher concurrency or batch size can raise GPU efficiency (per-GPU), but can add
Example:
```bash
vllm bench sweep plot_pareto benchmarks/results/<timestamp> \
EXPERIMENT_DIR=${1:-"benchmarks/results/demo"}
vllm bench sweep plot_pareto $EXPERIMENT_DIR \
--label-by max_concurrency,tensor_parallel_size,pipeline_parallel_size
```

8
vllm/benchmarks/sweep/plot.py
View File

@@ -499,7 +499,7 @@ class SweepPlotArgs:
@classmethod
def from_cli_args(cls, args: argparse.Namespace):
output_dir = Path(args.OUTPUT_DIR)
output_dir = Path(args.EXPERIMENT_DIR)
if not output_dir.exists():
raise ValueError(f"No parameter sweep results under {output_dir}")
@@ -531,11 +531,9 @@ class SweepPlotArgs:
@classmethod
def add_cli_args(cls, parser: argparse.ArgumentParser) -> argparse.ArgumentParser:
parser.add_argument(
"OUTPUT_DIR",
"EXPERIMENT_DIR",
type=str,
default="results",
help="The directory containing the results to plot, "
"i.e., the `--output-dir` argument to the parameter sweep script.",
help="The directory containing the sweep results to plot.",
)
parser.add_argument(
"--fig-dir",

5
vllm/benchmarks/sweep/plot_pareto.py
View File

@@ -325,7 +325,7 @@ class SweepPlotParetoArgs:
@classmethod
def from_cli_args(cls, args: argparse.Namespace):
output_dir = Path(args.OUTPUT_DIR)
output_dir = Path(args.EXPERIMENT_DIR)
if not output_dir.exists():
raise ValueError(f"No parameter sweep results under {output_dir}")
@@ -342,9 +342,8 @@ class SweepPlotParetoArgs:
@classmethod
def add_cli_args(cls, parser: argparse.ArgumentParser):
parser.add_argument(
"OUTPUT_DIR",
"EXPERIMENT_DIR",
type=str,
default="results",
help="The directory containing the sweep results to plot.",
)
parser.add_argument(

125
vllm/benchmarks/sweep/serve.py
View File

@@ -4,6 +4,7 @@ import argparse
import contextlib
import json
import shlex
from contextlib import contextmanager
from dataclasses import dataclass
from datetime import datetime
from pathlib import Path
@@ -135,7 +136,7 @@ def run_benchmark(
def _get_comb_base_path(
output_dir: Path,
experiment_dir: Path,
serve_comb: ParameterSweepItem,
bench_comb: ParameterSweepItem,
*,
@@ -149,7 +150,7 @@ def _get_comb_base_path(
if extra_parts:
parts.extend(extra_parts)
return output_dir / sanitize_filename("-".join(parts))
return experiment_dir / sanitize_filename("-".join(parts))
def _get_comb_run_path(base_path: Path, run_number: int | None):
@@ -162,10 +163,10 @@ def _get_comb_run_path(base_path: Path, run_number: int | None):
def _comb_needs_server(
serve_comb: ParameterSweepItem,
bench_combs: ParameterSweep,
output_dir: Path,
experiment_dir: Path,
):
for bench_comb in bench_combs:
base_path = _get_comb_base_path(output_dir, serve_comb, bench_comb)
base_path = _get_comb_base_path(experiment_dir, serve_comb, bench_comb)
if not _get_comb_run_path(base_path, run_number=None).exists():
return True
@@ -179,11 +180,11 @@ def server_ctx(
show_stdout: bool,
serve_comb: ParameterSweepItem,
bench_params: ParameterSweep,
output_dir: Path,
experiment_dir: Path,
dry_run: bool,
server_ready_timeout: int = 300,
):
if not _comb_needs_server(serve_comb, bench_params, output_dir):
if not _comb_needs_server(serve_comb, bench_params, experiment_dir):
return contextlib.nullcontext()
return run_server(
@@ -215,10 +216,10 @@ def run_comb(
*,
serve_comb: ParameterSweepItem,
bench_comb: ParameterSweepItem,
link_vars: list[tuple[str, str]],
base_path: Path,
num_runs: int,
dry_run: bool,
link_vars: list[tuple[str, str]],
):
if not _comb_is_valid(serve_comb, bench_comb, link_vars):
return None
@@ -257,10 +258,10 @@ def run_combs(
server_ready_timeout: int,
serve_params: ParameterSweep,
bench_params: ParameterSweep,
output_dir: Path,
link_vars: list[tuple[str, str]],
experiment_dir: Path,
num_runs: int,
dry_run: bool,
link_vars: list[tuple[str, str]],
):
all_data = list[dict[str, object]]()
for serve_comb in serve_params:
@@ -270,22 +271,22 @@ def run_combs(
show_stdout=show_stdout,
serve_comb=serve_comb,
bench_params=bench_params,
output_dir=output_dir,
experiment_dir=experiment_dir,
dry_run=dry_run,
server_ready_timeout=server_ready_timeout,
) as server:
for bench_comb in bench_params:
base_path = _get_comb_base_path(output_dir, serve_comb, bench_comb)
base_path = _get_comb_base_path(experiment_dir, serve_comb, bench_comb)
comb_data = run_comb(
server,
bench_cmd,
serve_comb=serve_comb,
bench_comb=bench_comb,
link_vars=link_vars,
base_path=base_path,
num_runs=num_runs,
dry_run=dry_run,
link_vars=link_vars,
)
if comb_data is not None:
@@ -295,7 +296,7 @@ def run_combs(
return None
combined_df = pd.DataFrame.from_records(all_data)
combined_df.to_csv(output_dir / "summary.csv")
combined_df.to_csv(experiment_dir / "summary.csv")
return combined_df
@@ -309,11 +310,12 @@ class SweepServeArgs:
server_ready_timeout: int
serve_params: ParameterSweep
bench_params: ParameterSweep
link_vars: list[tuple[str, str]]
output_dir: Path
experiment_name: str
num_runs: int
dry_run: bool
resume: str | None
link_vars: list[tuple[str, str]]
resume: bool
parser_name: ClassVar[str] = "serve"
parser_help: ClassVar[str] = "Run vLLM server benchmark under multiple settings."
@@ -340,6 +342,11 @@ class SweepServeArgs:
link_vars = cls.parse_link_vars(args.link_vars)
if args.experiment_name:
experiment_name = args.experiment_name
else:
experiment_name = datetime.now().strftime("%Y%m%d_%H%M%S")
num_runs = args.num_runs
if num_runs < 1:
raise ValueError("`num_runs` should be at least 1.")
@@ -351,11 +358,12 @@ class SweepServeArgs:
show_stdout=args.show_stdout,
serve_params=serve_params,
bench_params=bench_params,
link_vars=link_vars,
output_dir=Path(args.output_dir),
experiment_name=experiment_name,
num_runs=num_runs,
dry_run=args.dry_run,
resume=args.resume,
link_vars=link_vars,
server_ready_timeout=args.server_ready_timeout,
)
@@ -392,6 +400,7 @@ class SweepServeArgs:
default=300,
help="Timeout in seconds to wait for the server to become ready.",
)
parser.add_argument(
"--serve-params",
type=str,
@@ -402,6 +411,16 @@ class SweepServeArgs:
"If both `serve_params` and `bench_params` are given, "
"this script will iterate over their Cartesian product.",
)
parser.add_argument(
"--link-vars",
type=str,
default="",
help=(
"Comma-separated list of linked variables between serve and bench, "
"e.g. max_num_seqs=max_concurrency,max_model_len=random_input_len"
),
)
parser.add_argument(
"--bench-params",
type=str,
@@ -417,7 +436,15 @@ class SweepServeArgs:
"--output-dir",
type=str,
default="results",
help="The directory to which results are written.",
help="The main directory to which results are written.",
)
parser.add_argument(
"-e",
"--experiment-name",
type=str,
default=None,
help="The name of this experiment (defaults to current timestamp). "
"Results will be stored under `output_dir/experiment_name`.",
)
parser.add_argument(
"--num-runs",
@@ -433,21 +460,10 @@ class SweepServeArgs:
)
parser.add_argument(
"--resume",
type=str,
default=None,
help="Set this to the name of a directory under `output_dir` (which is a "
"timestamp) to resume a previous execution of this script, i.e., only run "
"parameter combinations for which there are still no output files.",
)
parser.add_argument(
"--link-vars",
type=str,
default="",
help=(
"Comma-separated list of linked variables between serve and bench, "
"e.g. max_num_seqs=max_concurrency,max_model_len=random_input_len"
),
action="store_true",
help="Resume a previous execution of this script, i.e., only run "
"parameter combinations for which there are still no output files "
"under `output_dir/experiment_name`.",
)
return parser
@@ -462,33 +478,52 @@ class SweepServeArgs:
pairs.append((a.strip(), b.strip()))
return pairs
def resolve_experiment_dir(self) -> Path:
experiment_dir = self.output_dir / self.experiment_name
if self.resume:
if not experiment_dir.exists():
raise ValueError(f"Cannot resume from non-existent {experiment_dir=}")
else:
if experiment_dir.exists():
raise ValueError(f"Cannot overwrite existing {experiment_dir=}")
return experiment_dir
@contextmanager
def run_ctx(self, experiment_dir: Path):
if self.dry_run:
yield
print(f"Experiment will be saved at: {experiment_dir}")
return
try:
yield
print(f"Experiment has been saved at: {experiment_dir}")
except BaseException as exc:
raise RuntimeError(
"The script was terminated early. Use `--resume` "
"to continue the script from its last checkpoint."
) from exc
def run_main(args: SweepServeArgs):
timestamp = args.resume or datetime.now().strftime("%Y%m%d_%H%M%S")
output_dir = args.output_dir / timestamp
experiment_dir = args.resolve_experiment_dir()
if args.resume and not output_dir.exists():
raise ValueError(f"Cannot resume from non-existent directory ({output_dir})")
try:
with args.run_ctx(experiment_dir):
return run_combs(
serve_cmd=args.serve_cmd,
bench_cmd=args.bench_cmd,
link_vars=args.link_vars,
after_bench_cmd=args.after_bench_cmd,
show_stdout=args.show_stdout,
server_ready_timeout=args.server_ready_timeout,
serve_params=args.serve_params,
bench_params=args.bench_params,
output_dir=output_dir,
experiment_dir=experiment_dir,
num_runs=args.num_runs,
dry_run=args.dry_run,
link_vars=args.link_vars,
)
except BaseException as exc:
raise RuntimeError(
f"The script was terminated early. Use `--resume {timestamp}` "
f"to continue the script from its last checkpoint."
) from exc
def main(args: argparse.Namespace):

54
vllm/benchmarks/sweep/serve_workload.py
View File

@@ -3,7 +3,6 @@
import argparse
import math
from dataclasses import asdict, dataclass
from datetime import datetime
from pathlib import Path
from typing import ClassVar, Literal, get_args
@@ -59,10 +58,10 @@ def run_comb_workload(
*,
serve_comb: ParameterSweepItem,
bench_comb: ParameterSweepItem,
output_dir: Path,
link_vars: list[tuple[str, str]],
experiment_dir: Path,
num_runs: int,
dry_run: bool,
link_vars: list[tuple[str, str]],
workload_var: WorkloadVariable,
workload_value: int,
) -> list[dict[str, object]] | None:
@@ -73,15 +72,15 @@ def run_comb_workload(
bench_cmd,
serve_comb=serve_comb,
bench_comb=bench_comb_workload,
link_vars=link_vars,
base_path=_get_comb_base_path(
output_dir,
experiment_dir,
serve_comb,
bench_comb,
extra_parts=("WL-", f"{workload_var}={workload_value}"),
),
num_runs=num_runs,
dry_run=dry_run,
link_vars=link_vars,
)
@@ -91,12 +90,12 @@ def explore_comb_workloads(
*,
serve_comb: ParameterSweepItem,
bench_comb: ParameterSweepItem,
link_vars: list[tuple[str, str]],
workload_var: WorkloadVariable,
workload_iters: int,
output_dir: Path,
experiment_dir: Path,
num_runs: int,
dry_run: bool,
link_vars: list[tuple[str, str]],
):
print("[WL START]")
print(f"Serve parameters: {serve_comb.as_text() or '(None)'}")
@@ -125,10 +124,10 @@ def explore_comb_workloads(
bench_cmd,
serve_comb=serve_comb,
bench_comb=bench_comb | {"max_concurrency": 1},
output_dir=output_dir,
link_vars=link_vars,
experiment_dir=experiment_dir,
num_runs=num_runs,
dry_run=dry_run,
link_vars=link_vars,
workload_var=workload_var,
workload_value=1,
)
@@ -137,10 +136,10 @@ def explore_comb_workloads(
bench_cmd,
serve_comb=serve_comb,
bench_comb=bench_comb | {"max_concurrency": dataset_size},
output_dir=output_dir,
link_vars=link_vars,
experiment_dir=experiment_dir,
num_runs=num_runs,
dry_run=dry_run,
link_vars=link_vars,
workload_var=workload_var,
workload_value=dataset_size,
)
@@ -177,10 +176,10 @@ def explore_comb_workloads(
bench_cmd,
serve_comb=serve_comb,
bench_comb=bench_comb,
output_dir=output_dir,
link_vars=link_vars,
experiment_dir=experiment_dir,
num_runs=num_runs,
dry_run=dry_run,
link_vars=link_vars,
workload_var=workload_var,
workload_value=inter_workload_value,
)
@@ -201,12 +200,12 @@ def explore_combs_workloads(
server_ready_timeout: int,
serve_params: ParameterSweep,
bench_params: ParameterSweep,
link_vars: list[tuple[str, str]],
workload_var: WorkloadVariable,
workload_iters: int,
output_dir: Path,
experiment_dir: Path,
num_runs: int,
dry_run: bool,
link_vars: list[tuple[str, str]],
):
if any(bench_comb.has_param(workload_var) for bench_comb in bench_params):
raise ValueError(
@@ -223,7 +222,7 @@ def explore_combs_workloads(
server_ready_timeout=server_ready_timeout,
serve_comb=serve_comb,
bench_params=bench_params,
output_dir=output_dir,
experiment_dir=experiment_dir,
dry_run=dry_run,
) as server:
for bench_comb in bench_params:
@@ -232,12 +231,12 @@ def explore_combs_workloads(
bench_cmd,
serve_comb=serve_comb,
bench_comb=bench_comb,
link_vars=link_vars,
workload_var=workload_var,
workload_iters=workload_iters,
output_dir=output_dir,
experiment_dir=experiment_dir,
num_runs=num_runs,
dry_run=dry_run,
link_vars=link_vars,
)
if comb_data is not None:
@@ -247,7 +246,7 @@ def explore_combs_workloads(
return None
combined_df = pd.DataFrame.from_records(all_data)
combined_df.to_csv(output_dir / "summary.csv")
combined_df.to_csv(experiment_dir / "summary.csv")
return combined_df
@@ -298,13 +297,9 @@ class SweepServeWorkloadArgs(SweepServeArgs):
def run_main(args: SweepServeWorkloadArgs):
timestamp = args.resume or datetime.now().strftime("%Y%m%d_%H%M%S")
output_dir = args.output_dir / timestamp
experiment_dir = args.resolve_experiment_dir()
if args.resume and not output_dir.exists():
raise ValueError(f"Cannot resume from non-existent directory ({output_dir})")
try:
with args.run_ctx(experiment_dir):
return explore_combs_workloads(
serve_cmd=args.serve_cmd,
bench_cmd=args.bench_cmd,
@@ -313,18 +308,13 @@ def run_main(args: SweepServeWorkloadArgs):
server_ready_timeout=args.server_ready_timeout,
serve_params=args.serve_params,
bench_params=args.bench_params,
link_vars=args.link_vars,
workload_var=args.workload_var,
workload_iters=args.workload_iters,
output_dir=output_dir,
experiment_dir=experiment_dir,
num_runs=args.num_runs,
dry_run=args.dry_run,
link_vars=args.link_vars,
)
except BaseException as exc:
raise RuntimeError(
f"The script was terminated early. Use `--resume {timestamp}` "
f"to continue the script from its last checkpoint."
) from exc
def main(args: argparse.Namespace):

103
vllm/benchmarks/sweep/startup.py
View File

@@ -4,6 +4,7 @@ import argparse
import json
import shlex
import subprocess
from contextlib import contextmanager
from dataclasses import dataclass
from datetime import datetime
from functools import lru_cache
@@ -111,7 +112,7 @@ def _apply_output_json(cmd: list[str], output_path: Path) -> list[str]:
def _get_comb_base_path(
output_dir: Path,
experiment_dir: Path,
serve_comb: ParameterSweepItem,
startup_comb: ParameterSweepItem,
) -> Path:
@@ -120,7 +121,8 @@ def _get_comb_base_path(
parts.extend(("SERVE-", serve_comb.name))
if startup_comb:
parts.extend(("STARTUP-", startup_comb.name))
return output_dir / sanitize_filename("-".join(parts))
return experiment_dir / sanitize_filename("-".join(parts))
def _get_comb_run_path(base_path: Path, run_number: int | None) -> Path:
@@ -225,7 +227,7 @@ def run_combs(
*,
serve_params: ParameterSweep,
startup_params: ParameterSweep,
output_dir: Path,
experiment_dir: Path,
num_runs: int,
show_stdout: bool,
dry_run: bool,
@@ -233,7 +235,7 @@ def run_combs(
all_data = list[dict[str, object]]()
for serve_comb in serve_params:
for startup_comb in startup_params:
base_path = _get_comb_base_path(output_dir, serve_comb, startup_comb)
base_path = _get_comb_base_path(experiment_dir, serve_comb, startup_comb)
comb_data = run_comb(
startup_cmd,
serve_comb=serve_comb,
@@ -250,7 +252,7 @@ def run_combs(
return None
combined_df = pd.DataFrame.from_records(all_data)
combined_df.to_csv(output_dir / "summary.csv")
combined_df.to_csv(experiment_dir / "summary.csv")
return combined_df
@@ -260,11 +262,11 @@ class SweepStartupArgs:
serve_params: ParameterSweep
startup_params: ParameterSweep
output_dir: Path
experiment_name: str
num_runs: int
show_stdout: bool
dry_run: bool
resume: str | None
strict_params: bool
resume: bool
parser_name: ClassVar[str] = "startup"
parser_help: ClassVar[str] = (
@@ -286,13 +288,19 @@ class SweepStartupArgs:
startup_params = ParameterSweep.from_records([{}])
supported = _get_supported_startup_keys()
strict_params = args.strict_params
serve_params = _filter_params(
serve_params, supported=supported, strict=args.strict_params
serve_params, supported=supported, strict=strict_params
)
startup_params = _filter_params(
startup_params, supported=supported, strict=args.strict_params
startup_params, supported=supported, strict=strict_params
)
if args.experiment_name:
experiment_name = args.experiment_name
else:
experiment_name = datetime.now().strftime("%Y%m%d_%H%M%S")
if args.num_runs < 1:
raise ValueError("`num_runs` should be at least 1.")
@@ -301,11 +309,11 @@ class SweepStartupArgs:
serve_params=serve_params,
startup_params=startup_params,
output_dir=Path(args.output_dir),
experiment_name=experiment_name,
num_runs=args.num_runs,
show_stdout=args.show_stdout,
dry_run=args.dry_run,
resume=args.resume,
strict_params=args.strict_params,
)
@classmethod
@@ -316,6 +324,7 @@ class SweepStartupArgs:
default="vllm bench startup",
help="The command used to run the startup benchmark.",
)
parser.add_argument(
"--serve-params",
type=str,
@@ -331,12 +340,27 @@ class SweepStartupArgs:
help="Path to JSON file containing parameter combinations "
"for the `vllm bench startup` command.",
)
parser.add_argument(
"--strict-params",
action="store_true",
help="If set, unknown parameters in sweep files raise an error "
"instead of being ignored.",
)
parser.add_argument(
"-o",
"--output-dir",
type=str,
default="results",
help="The directory to which results are written.",
help="The main directory to which results are written.",
)
parser.add_argument(
"-e",
"--experiment-name",
type=str,
default=None,
help="The name of this experiment (defaults to current timestamp). "
"Results will be stored under `output_dir/experiment_name`.",
)
parser.add_argument(
"--num-runs",
@@ -357,43 +381,56 @@ class SweepStartupArgs:
)
parser.add_argument(
"--resume",
type=str,
default=None,
help="Set this to the name of a directory under `output_dir` (which is a "
"timestamp) to resume a previous execution of this script, i.e., only run "
"parameter combinations for which there are still no output files.",
)
parser.add_argument(
"--strict-params",
action="store_true",
help="If set, unknown parameters in sweep files raise an error "
"instead of being ignored.",
help="Resume a previous execution of this script, i.e., only run "
"parameter combinations for which there are still no output files "
"under `output_dir/experiment_name`.",
)
return parser
def resolve_experiment_dir(self) -> Path:
experiment_dir = self.output_dir / self.experiment_name
if self.resume:
if not experiment_dir.exists():
raise ValueError(f"Cannot resume from non-existent {experiment_dir=}")
else:
if experiment_dir.exists():
raise ValueError(f"Cannot overwrite existing {experiment_dir=}")
return experiment_dir
@contextmanager
def run_ctx(self, experiment_dir: Path):
if self.dry_run:
yield
print(f"Experiment will be saved at: {experiment_dir}")
return
try:
yield
print(f"Experiment has been saved at: {experiment_dir}")
except BaseException as exc:
raise RuntimeError(
"The script was terminated early. Use `--resume` "
"to continue the script from its last checkpoint."
) from exc
def run_main(args: SweepStartupArgs):
timestamp = args.resume or datetime.now().strftime("%Y%m%d_%H%M%S")
output_dir = args.output_dir / timestamp
experiment_dir = args.resolve_experiment_dir()
if args.resume and not output_dir.exists():
raise ValueError(f"Cannot resume from non-existent directory ({output_dir})")
try:
with args.run_ctx(experiment_dir):
return run_combs(
startup_cmd=args.startup_cmd,
serve_params=args.serve_params,
startup_params=args.startup_params,
output_dir=output_dir,
experiment_dir=experiment_dir,
num_runs=args.num_runs,
show_stdout=args.show_stdout,
dry_run=args.dry_run,
)
except BaseException as exc:
raise RuntimeError(
f"The script was terminated early. Use `--resume {timestamp}` "
f"to continue the script from its last checkpoint."
) from exc
def main(args: argparse.Namespace):