Davids048andClaude Fable 5.1
1ea7278c00
pipeline.model is a tagged union: a mapping with exactly one key, which names the model family (ltx2, minimax_h3, longcat, or generic) and selects that family's options class. The former sibling sections pipeline.ltx2, pipeline.minimax_h3, and pipeline.longcat, and the DiT/VAE architecture override dicts pipeline.dit and pipeline.vae, live inside the family block. The parser implements tagged unions as a general mechanism (a dataclass with a TAGS table); the family is readable as pipeline.model.family. Resolution validates the tag against the family that the registry chose for model_path (validate_model_family raises and names the registry class and the right block) and fills the family's empty block when the input has none (fill_model_family), so readers never see None. Family-only fills and derivations (the MiniMax-H3 parallel-VAE environment variables, the LTX-2 tile-size derivation and refine preset copy, the LongCat BSA mirrors) run only for their family. Against the3f6893a0goldens every PipelineConfig is identical and no other field differs beyond the allowed categories; family-only settings are no longer decided on models of another family. LingBot-Video reads its refiner switch from pipeline.preset_overrides.refine.enabled and loads the refiner by default when the checkpoint has one, as at3f6893a0. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CbSuTKA9oX4YsECdcBPAsX
553 lines
23 KiB
Python
553 lines
23 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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"""Ordered, traceable resolution of a typed config into a frozen result.
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Resolution turns the user's raw typed config (``GeneratorConfig``) into the
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final values that runtime code reads. It follows three rules:
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* The raw input is kept as it was given. Explicit paths, the dotted leaf
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paths that the user wrote, are recorded from the raw mapping when
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resolution starts, so "the user set this" is never inferred from defaults.
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* Resolution runs an ordered list of steps. A step is a plain function that
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receives a read-only :class:`ResolutionView` and returns
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``{dotted_path: value}``. A step never assigns fields. The driver records
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each returned mapping as a decision ``(source, values)``, where ``source``
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is the qualified name of the step; the last decision for a path wins.
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* The result is frozen. :class:`ResolvedGeneratorConfig` mirrors the nested
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structure of ``GeneratorConfig`` (``resolved.engine.offload.dit``), rejects
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attribute assignment at every level, and reports the provenance of every
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path. The only way to change a resolved config is
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:meth:`ResolvedGeneratorConfig.with_override`, which validates the paths,
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returns a separate frozen result, and appends ``(source, values)`` to an
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override log.
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Paths address dataclass fields with dots (``engine.parallelism.sp_size``).
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Dict-valued fields such as ``pipeline.experimental`` accept keys that the
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input does not have (``pipeline.experimental.attention_backend``). A path
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through a plain value, or through an optional nested config that is
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``None``, is rejected.
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"""
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from __future__ import annotations
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from collections.abc import Callable, Mapping, Sequence
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from copy import deepcopy
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import dataclasses
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from types import MappingProxyType
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from typing import Any
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from fastvideo.api.parser import parse_config, strip_union_tags
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from fastvideo.api.request_metadata import _record_value_paths, get_explicit_paths
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from fastvideo.api.schema import GenerationRequest, GeneratorConfig
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# Source name reported for a path that no step or override decided.
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INPUT_SOURCE = "input"
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ResolutionStep = Callable[["ResolutionView"], Mapping[str, Any]]
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# One recorded change: (step or override source, {dotted_path: value}).
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Decision = tuple[str, dict[str, Any]]
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class ResolutionError(ValueError):
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"""A step or override named a path that the config does not have."""
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@dataclasses.dataclass(frozen=True)
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class PathProvenance:
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"""Where the final value of one path came from.
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``source`` is the qualified name of the step, or the source name of the
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override, that last set the path or an enclosing path; it is
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:data:`INPUT_SOURCE` when nothing changed the input value. ``raw_value``
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is the parsed input value including schema defaults, and ``raw_present``
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is false for dict keys that only resolution added.
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"""
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path: str
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value: Any
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source: str
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raw_value: Any
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raw_present: bool
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explicit: bool
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class _Struct:
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"""A nested config dataclass, held as its class and a dict of field values."""
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__slots__ = ("config_class", "fields")
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def __init__(self, config_class: type[Any], fields: dict[str, Any]):
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self.config_class = config_class
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self.fields = fields
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def __getstate__(self) -> tuple[type[Any], dict[str, Any]]:
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return self.config_class, self.fields
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def __setstate__(self, state: tuple[type[Any], dict[str, Any]]) -> None:
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self.config_class, self.fields = state
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def _is_dataclass_instance(value: Any) -> bool:
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return dataclasses.is_dataclass(value) and not isinstance(value, type)
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def _to_tree(value: Any) -> Any:
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"""Copy a value into the resolution tree.
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Dataclasses become ``_Struct`` nodes, and read-only mappings that a step
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took from :meth:`ResolutionView.get` become dicts again, so the tree only
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holds plain, picklable containers.
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"""
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if _is_dataclass_instance(value):
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return _Struct(type(value),
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{field.name: _to_tree(getattr(value, field.name))
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for field in dataclasses.fields(value)})
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if isinstance(value, dict | MappingProxyType):
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return {key: _to_tree(child) for key, child in value.items()}
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if isinstance(value, list):
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return [_to_tree(child) for child in value]
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if isinstance(value, tuple):
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return tuple(_to_tree(child) for child in value)
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return deepcopy(value)
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def _to_plain(node: Any) -> Any:
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"""Copy a resolution tree into plain nested dicts, lists, and values."""
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if isinstance(node, _Struct):
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return {name: _to_plain(child) for name, child in node.fields.items()}
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if isinstance(node, dict):
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return {key: _to_plain(child) for key, child in node.items()}
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if isinstance(node, list):
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return [_to_plain(child) for child in node]
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return deepcopy(node)
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def _to_config(node: Any) -> Any:
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"""Rebuild typed config dataclasses from a resolution tree."""
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if isinstance(node, _Struct):
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return node.config_class(**{name: _to_config(child) for name, child in node.fields.items()})
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return deepcopy(node)
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def _freeze(value: Any) -> Any:
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"""Read-only copy of a leaf value: dicts become mapping proxies, lists and sets become tuples and frozensets."""
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if isinstance(value, dict):
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return MappingProxyType({key: _freeze(child) for key, child in value.items()})
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if isinstance(value, list | tuple):
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return tuple(_freeze(child) for child in value)
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if isinstance(value, set):
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return frozenset(_freeze(child) for child in value)
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return deepcopy(value)
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def thaw(value: Any) -> Any:
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"""Mutable copy of a value read from a resolved config: mapping proxies become dicts, tuples become lists."""
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if isinstance(value, Mapping):
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return {key: thaw(child) for key, child in value.items()}
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if isinstance(value, tuple):
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return [thaw(child) for child in value]
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if isinstance(value, frozenset):
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return {thaw(child) for child in value}
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return deepcopy(value)
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def _split(path: str) -> list[str] | None:
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"""Dotted path parts, or ``None`` when ``path`` is not a non-empty dotted string."""
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if not isinstance(path, str) or not path or any(not part for part in path.split(".")):
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return None
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return path.split(".")
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def _lookup(tree: _Struct, path: str) -> tuple[bool, Any]:
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"""Return ``(present, value)`` for a dotted path, walking structure fields and dict keys."""
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parts = _split(path)
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if parts is None:
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return False, None
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node: Any = tree
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for part in parts:
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if isinstance(node, _Struct) and part in node.fields:
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node = node.fields[part]
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elif isinstance(node, dict) and part in node:
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node = node[part]
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else:
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return False, None
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return True, node
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def _assign(tree: _Struct, path: str, value: Any, source: str) -> None:
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"""Set one dotted path in the tree, rejecting paths that the config does not have.
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Intermediate parts must name existing structure fields or existing dict
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keys. The last part must name an existing structure field, or any key of
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a dict-valued field. A field that holds a nested structure accepts only a
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dataclass instance; an optional nested config that is ``None`` accepts a
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dataclass instance to install it.
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"""
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parts = _split(path)
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if parts is None:
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raise ResolutionError(f"{source}: {path!r} is not a dotted config path")
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node: Any = tree
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for depth, part in enumerate(parts[:-1]):
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if isinstance(node, _Struct) and part in node.fields:
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node = node.fields[part]
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elif isinstance(node, dict) and part in node:
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node = node[part]
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else:
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walked = ".".join(parts[:depth + 1])
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raise ResolutionError(f"{source}: {path!r} goes through {walked!r}, which is not a config path")
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last = parts[-1]
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if isinstance(node, dict):
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node[last] = _to_tree(value)
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return
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if not isinstance(node, _Struct):
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parent = ".".join(parts[:-1])
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raise ResolutionError(f"{source}: {path!r} goes through {parent!r}, which holds a plain value")
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if last not in node.fields:
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raise ResolutionError(f"{source}: {path!r} is not a field of {node.config_class.__name__}")
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if isinstance(node.fields[last], _Struct) and not _is_dataclass_instance(value):
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raise ResolutionError(f"{source}: {path!r} is a nested config; set its fields or pass a dataclass instance")
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node.fields[last] = _to_tree(value)
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def _apply(tree: _Struct, source: str, values: Mapping[str, Any]) -> Decision:
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"""Validate one decision on a copy of the tree, then apply it, so a rejected path leaves ``tree`` unchanged."""
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if not isinstance(values, Mapping):
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raise ResolutionError(f"{source}: expected a mapping of config paths, got {type(values).__name__}")
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trial = deepcopy(tree)
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for path, value in values.items():
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_assign(trial, path, value, source)
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for path, value in values.items():
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_assign(tree, path, value, source)
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return source, {path: _to_plain(_to_tree(value)) for path, value in values.items()}
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def _is_explicit(explicit_paths: frozenset[str], path: str) -> bool:
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"""A path is explicit when the user wrote it or wrote a path inside it."""
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return path in explicit_paths or any(written.startswith(path + ".") for written in explicit_paths)
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def _last_source(log: Sequence[Decision], path: str) -> str:
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"""Source of the latest log entry that set ``path`` or an enclosing path."""
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for source, values in reversed(log):
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for decided in values:
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if path == decided or path.startswith(decided + "."):
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return source
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return INPUT_SOURCE
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class ResolutionView:
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"""Read-only view that resolution steps receive.
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Reads return the latest decision for a path, else the input value.
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Nested structures come back as read-only nodes and container values as
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read-only copies, so a step can change the config only by returning a
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decision.
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"""
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__slots__ = ("_tree", "_explicit_paths", "_decisions")
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def __init__(self, tree: _Struct, explicit_paths: frozenset[str], decisions: list[Decision]):
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self._tree = tree
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self._explicit_paths = explicit_paths
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self._decisions = decisions
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def get(self, path: str) -> Any:
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present, value = _lookup(self._tree, path)
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if not present:
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raise ResolutionError(f"{path!r} is not a path of this config")
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return _FrozenNode(deepcopy(value)) if isinstance(value, _Struct) else _freeze(value)
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def get_plain(self, path: str) -> Any:
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"""Plain copy of the latest value of ``path``: nested structures become dicts, and lists stay lists."""
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present, value = _lookup(self._tree, path)
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if not present:
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raise ResolutionError(f"{path!r} is not a path of this config")
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return _to_plain(value)
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def is_explicit(self, path: str) -> bool:
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return _is_explicit(self._explicit_paths, path)
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def decided_by(self, path: str) -> str:
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return _last_source(self._decisions, path)
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class _FrozenNode:
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"""Read-only attribute access to one nested structure of a resolved config."""
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__slots__ = ("_struct", )
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def __init__(self, struct: _Struct):
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object.__setattr__(self, "_struct", struct)
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def __reduce__(self) -> tuple[Any, ...]:
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return type(self), (object.__getattribute__(self, "_struct"), )
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def __getattr__(self, name: str) -> Any:
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struct = object.__getattribute__(self, "_struct")
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if name not in struct.fields:
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raise AttributeError(f"{struct.config_class.__name__} has no field {name!r}")
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child = struct.fields[name]
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return _FrozenNode(child) if isinstance(child, _Struct) else _freeze(child)
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def __setattr__(self, name: str, value: Any) -> None:
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raise AttributeError(f"resolved config is read-only; cannot set {name!r}")
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def __delattr__(self, name: str) -> None:
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raise AttributeError(f"resolved config is read-only; cannot delete {name!r}")
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def __repr__(self) -> str:
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struct = object.__getattribute__(self, "_struct")
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return f"{struct.config_class.__name__}({_to_plain(struct)!r})"
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class _ResolvedTree(_FrozenNode):
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"""Frozen resolution result of any typed config, with per-path provenance and an override log.
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Fields are read by attribute with the same nesting as the typed config.
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The methods below are reserved names and take precedence over top-level
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fields of the same name.
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"""
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__slots__ = ("_raw_tree", "_explicit_paths", "_decisions", "_override_log")
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def __init__(
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self,
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tree: _Struct,
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raw_tree: _Struct,
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explicit_paths: frozenset[str],
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decisions: Sequence[Decision],
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override_log: Sequence[Decision],
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):
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super().__init__(tree)
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object.__setattr__(self, "_raw_tree", raw_tree)
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object.__setattr__(self, "_explicit_paths", explicit_paths)
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object.__setattr__(self, "_decisions", tuple(decisions))
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object.__setattr__(self, "_override_log", tuple(override_log))
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def __reduce__(self) -> tuple[Any, ...]:
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state = object.__getattribute__
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return type(self), (state(self, "_struct"), state(self, "_raw_tree"), state(self, "_explicit_paths"),
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state(self, "_decisions"), state(self, "_override_log"))
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@property
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def decisions(self) -> tuple[Decision, ...]:
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"""Resolution decisions in the order that the steps made them."""
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return deepcopy(object.__getattribute__(self, "_decisions"))
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@property
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def override_log(self) -> tuple[Decision, ...]:
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"""Changes applied after resolution by :meth:`with_override`, in order."""
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return deepcopy(object.__getattribute__(self, "_override_log"))
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def is_explicit(self, path: str) -> bool:
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return _is_explicit(object.__getattribute__(self, "_explicit_paths"), path)
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def provenance(self, path: str) -> PathProvenance:
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"""Final value, deciding source, input value, and explicit flag of one path."""
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present, value = _lookup(object.__getattribute__(self, "_struct"), path)
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if not present:
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raise ResolutionError(f"{path!r} is not a path of this config")
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raw_present, raw_value = _lookup(object.__getattribute__(self, "_raw_tree"), path)
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log = object.__getattribute__(self, "_decisions") + object.__getattribute__(self, "_override_log")
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return PathProvenance(
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path=path,
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value=_to_plain(value),
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source=_last_source(log, path),
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raw_value=_to_plain(raw_value),
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raw_present=raw_present,
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explicit=self.is_explicit(path),
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)
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def provenance_table(self) -> list[PathProvenance]:
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"""Provenance of every leaf field and of every path that a step or override set, sorted by path."""
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paths: set[str] = set()
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def walk(node: _Struct, prefix: str) -> None:
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for name, child in node.fields.items():
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path = f"{prefix}.{name}" if prefix else name
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if isinstance(child, _Struct):
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walk(child, path)
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else:
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paths.add(path)
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walk(object.__getattribute__(self, "_struct"), "")
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for _, values in object.__getattribute__(self, "_decisions") + object.__getattribute__(self, "_override_log"):
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paths.update(values)
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return [self.provenance(path) for path in sorted(paths)]
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def with_override(self, source: str, values: Mapping[str, Any]) -> Any:
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"""Return a separate frozen result with ``values`` applied and ``(source, values)`` added to the override log.
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Use this for decisions that can only be made after resolution, such
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as ones that depend on the device that a worker binds. Paths are
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validated exactly as for resolution steps; this object is unchanged.
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"""
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if not isinstance(source, str) or not source:
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raise ResolutionError("an override needs a non-empty source name")
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tree = deepcopy(object.__getattribute__(self, "_struct"))
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override = _apply(tree, source, values)
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return self._replace(tree, object.__getattribute__(self, "_override_log") + (override, ))
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def _replace(self, tree: _Struct, override_log: tuple[Decision, ...]) -> Any:
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"""A result of the same type with ``tree`` and ``override_log`` and the input, explicit paths, and decisions
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of this one."""
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return type(self)(
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tree,
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object.__getattribute__(self, "_raw_tree"),
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object.__getattribute__(self, "_explicit_paths"),
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object.__getattribute__(self, "_decisions"),
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override_log,
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)
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def to_dict(self) -> dict[str, Any]:
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"""Plain nested dict copy of the resolved values."""
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return _to_plain(object.__getattribute__(self, "_struct"))
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class ResolvedGeneratorConfig(_ResolvedTree):
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"""Frozen result of resolving a ``GeneratorConfig`` or one of its subclasses, with the provenance of every path.
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It is the runtime config of every mode: inference, preprocessing, and training. Besides the typed fields it
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holds ``pipeline_config``, the model definition that resolution builds once and freezes. Loaders still fill the
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nested component configs of ``pipeline_config`` from checkpoint files. ``with_override`` and pickling carry the
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same ``pipeline_config``.
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``training_mode`` and ``inference_mode`` are read-only views of the top-level ``mode`` field.
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"""
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__slots__ = ("_pipeline_config", )
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def __init__(
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self,
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tree: _Struct,
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raw_tree: _Struct,
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explicit_paths: frozenset[str],
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decisions: Sequence[Decision],
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override_log: Sequence[Decision],
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pipeline_config: Any = None,
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):
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super().__init__(tree, raw_tree, explicit_paths, decisions, override_log)
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object.__setattr__(self, "_pipeline_config", pipeline_config)
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def __reduce__(self) -> tuple[Any, ...]:
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state = object.__getattribute__
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return type(self), (state(self, "_struct"), state(self, "_raw_tree"), state(self, "_explicit_paths"),
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state(self, "_decisions"), state(self, "_override_log"), state(self, "_pipeline_config"))
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@property
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def pipeline_config(self) -> Any:
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"""The frozen ``PipelineConfig`` built at the end of resolution, or ``None`` before materialization."""
|
|
return object.__getattribute__(self, "_pipeline_config")
|
|
|
|
@property
|
|
def training_mode(self) -> bool:
|
|
from fastvideo.api.schema import ExecutionMode
|
|
|
|
return object.__getattribute__(self, "_struct").fields["mode"] in (ExecutionMode.FINETUNING,
|
|
ExecutionMode.DISTILLATION)
|
|
|
|
@property
|
|
def inference_mode(self) -> bool:
|
|
return not self.training_mode
|
|
|
|
def with_override(self, source: str, values: Mapping[str, Any]) -> ResolvedGeneratorConfig:
|
|
return super().with_override(source, values)
|
|
|
|
def _replace(self, tree: _Struct, override_log: tuple[Decision, ...]) -> ResolvedGeneratorConfig:
|
|
state = object.__getattribute__
|
|
return type(self)(tree, state(self, "_raw_tree"), state(self, "_explicit_paths"), state(self, "_decisions"),
|
|
override_log, state(self, "_pipeline_config"))
|
|
|
|
def to_config(self) -> GeneratorConfig:
|
|
"""Typed copy of the resolved values as the root config class, for code that consumes the typed config."""
|
|
return _to_config(object.__getattribute__(self, "_struct"))
|
|
|
|
|
|
class ResolvedRequest(_ResolvedTree):
|
|
"""Frozen result of resolving the settings of a ``GenerationRequest``, with the provenance of every path.
|
|
|
|
It holds the ``sampling``, ``runtime``, ``output``, and ``stage_overrides`` sections. The prompts, inputs,
|
|
continuation state, plan, and extensions are request data that resolution does not decide.
|
|
"""
|
|
|
|
__slots__ = ()
|
|
|
|
def with_override(self, source: str, values: Mapping[str, Any]) -> ResolvedRequest:
|
|
return super().with_override(source, values)
|
|
|
|
|
|
# GenerationRequest sections that request resolution covers.
|
|
REQUEST_SETTING_SECTIONS = ("sampling", "runtime", "output", "stage_overrides")
|
|
|
|
|
|
def _run_steps(typed_config: Any, explicit_paths: frozenset[str],
|
|
steps: Sequence[ResolutionStep]) -> tuple[_Struct, _Struct, list[Decision]]:
|
|
"""Run ``steps`` in order over a parsed typed config; return the resolved tree, the input tree, and decisions."""
|
|
raw_tree = _to_tree(typed_config)
|
|
tree = deepcopy(raw_tree)
|
|
decisions: list[Decision] = []
|
|
view = ResolutionView(tree, explicit_paths, decisions)
|
|
for step in steps:
|
|
source = getattr(step, "__qualname__", repr(step))
|
|
values = step(view)
|
|
if values:
|
|
decisions.append(_apply(tree, source, values))
|
|
return tree, raw_tree, decisions
|
|
|
|
|
|
def resolve_generator_config(
|
|
raw: Mapping[str, Any],
|
|
steps: Sequence[ResolutionStep],
|
|
*,
|
|
config_class: type[GeneratorConfig] = GeneratorConfig,
|
|
materialize: Callable[[ResolvedGeneratorConfig], Any] | None = None,
|
|
) -> ResolvedGeneratorConfig:
|
|
"""Parse a raw generator config mapping, run ``steps`` in order, and freeze the result.
|
|
|
|
``raw`` is the merged YAML, CLI-override, and keyword input in the nested
|
|
shape of ``config_class``, which is ``GeneratorConfig`` or one of its
|
|
subclasses. Every leaf written in ``raw`` is an explicit path, spelled as
|
|
the parsed config holds it (a tagged-union block loses its tag segment:
|
|
``pipeline.model.ltx2.refine.enabled`` is explicit as
|
|
``pipeline.model.refine.enabled``). Each step sees the decisions of the
|
|
steps before it. ``materialize`` receives the resolved values and returns
|
|
the ``PipelineConfig`` that the result holds as ``pipeline_config``.
|
|
"""
|
|
if not isinstance(raw, Mapping):
|
|
raise TypeError(f"expected a raw config mapping, got {type(raw).__name__}")
|
|
written_paths: set[str] = set()
|
|
_record_value_paths(raw, "", written_paths)
|
|
explicit_paths = strip_union_tags(config_class, written_paths)
|
|
tree, raw_tree, decisions = _run_steps(parse_config(config_class, raw), frozenset(explicit_paths), steps)
|
|
resolved = ResolvedGeneratorConfig(tree, raw_tree, frozenset(explicit_paths), decisions, ())
|
|
if materialize is None:
|
|
return resolved
|
|
return ResolvedGeneratorConfig(tree, raw_tree, frozenset(explicit_paths), decisions, (), materialize(resolved))
|
|
|
|
|
|
def resolve_generation_request(request: GenerationRequest, steps: Sequence[ResolutionStep]) -> ResolvedRequest:
|
|
"""Run ``steps`` over the settings sections of a parsed request and freeze the result.
|
|
|
|
The explicit paths are the ones that the request tracked while it was parsed or built (see
|
|
``fastvideo.api.request_metadata``); only those inside ``REQUEST_SETTING_SECTIONS`` are kept.
|
|
"""
|
|
settings = GenerationRequest(**{section: getattr(request, section) for section in REQUEST_SETTING_SECTIONS})
|
|
explicit_paths = frozenset(path for path in get_explicit_paths(request)
|
|
if path.split(".", 1)[0] in REQUEST_SETTING_SECTIONS)
|
|
tree, raw_tree, decisions = _run_steps(settings, explicit_paths, steps)
|
|
return ResolvedRequest(tree, raw_tree, explicit_paths, decisions, ())
|
|
|
|
|
|
__all__ = [
|
|
"INPUT_SOURCE",
|
|
"PathProvenance",
|
|
"ResolutionError",
|
|
"ResolutionStep",
|
|
"REQUEST_SETTING_SECTIONS",
|
|
"ResolutionView",
|
|
"ResolvedGeneratorConfig",
|
|
"ResolvedRequest",
|
|
"resolve_generation_request",
|
|
"resolve_generator_config",
|
|
"thaw",
|
|
]
|