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639778b3ee
# set up vllm build logic - dockerfile: please notice the dockfile introduced here is only temporary, once we migrate this file to vllm, we will fetch it directly from there - VllmBuildRunner: - implement logic to prepare and run vllm build with dockerfile - Pull Request resolved: https://github.com/pytorch/pytorch/pull/160089 Approved by: https://github.com/huydhn ghstack dependencies: #160043
72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
"""
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Cli Argparser Utility helpers for CLI tasks.
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"""
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import argparse
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from abc import ABC, abstractmethod
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try:
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from typing import Any, Callable, Required, TypedDict # Python 3.11+
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except ImportError:
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from typing import Any, Callable, TypedDict
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from typing_extensions import Required # Fallback for Python <3.11
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class BaseRunner(ABC):
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def __init__(self, args: Any) -> None:
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self.args = args
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@abstractmethod
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def run(self) -> None:
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"""runs main logics, required"""
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# Pretty help: keep newlines + show defaults
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class RichHelp(
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argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescriptionHelpFormatter
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):
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pass
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class TargetSpec(TypedDict, total=False):
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"""CLI subcommand specification with bA."""
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runner: Required[type[BaseRunner]]
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help: str
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description: str
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add_arguments: Callable[[argparse.ArgumentParser], None]
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def register_targets(
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parser: argparse.ArgumentParser,
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target_specs: dict[str, TargetSpec],
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common_args: Callable[[argparse.ArgumentParser], None] = lambda _: None,
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) -> None:
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"""Register target subcommands."""
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targets = parser.add_subparsers(
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dest="target",
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required=True,
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metavar="{" + ",".join(target_specs.keys()) + "}",
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)
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for name, spec in target_specs.items():
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desc = spec.get("description") or spec["runner"].__doc__ or ""
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p = targets.add_parser(
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name,
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help=spec.get("help", ""),
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description=desc.strip(),
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formatter_class=RichHelp,
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)
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p.set_defaults(
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func=lambda args, cls=spec["runner"]: cls(args).run(),
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_runner_class=spec["runner"],
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)
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if "add_arguments" in spec and callable(spec["add_arguments"]):
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spec["add_arguments"](p)
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if common_args:
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common_args(p)
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