SolitaryThinker
a9e5f6ee7a
Directory rename (git mv, history preserved) plus rewrite of all references: absolute imports in tests, the zero-dep runner, docstrings, comments, and the README. No behavior change. Run: python3 -m pytest v2/tests/ -q ; python3 v2/run_tests.py ; python3 -m v2.examples
45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
"""BehaviorRecord — captured at generation time on the serving loop (design_v3 §10).
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> The rollout forward *is* the serve forward plus capture.
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Sized honestly (design_v3 §10): full routing capture is GB/sample for omni, so it is an opt-in
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instrument. ``logprobs`` is None for likelihood-free methods (DiffusionNFT) — the C2 split.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from enum import Enum
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from typing import Any
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from .._enums import ConsistencyLevel
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class TrajectoryStatus(str, Enum):
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COMPLETED = "completed"
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TRUNCATED = "truncated"
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ABORTED = "aborted"
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@dataclass
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class BehaviorRecord:
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request_id: str
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model_id: str
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loop_id: str
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weights_version: str = "v0"
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adapter_versions: dict[str, str] = field(default_factory=dict)
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seeds: dict[str, int] = field(default_factory=dict)
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timesteps: list[float] = field(default_factory=list)
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sigmas: list[float] = field(default_factory=list)
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latents: Any = None # final clean latents (or refs if too large)
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logprobs: list[float] | None = None # None for likelihood-free methods (NFT)
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sampled_tokens: list[int] = field(default_factory=list)
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guidance: dict[str, float] = field(default_factory=dict)
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reward_inputs: dict[str, Any] = field(default_factory=dict)
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reward_outputs: dict[str, float] = field(default_factory=dict)
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precision: str = "float32"
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parallel_plan_hash: str = ""
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attention_backend: str = "dense"
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deterministic_flags: dict[str, bool] = field(default_factory=dict)
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consistency_level: ConsistencyLevel = ConsistencyLevel.C1
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status: TrajectoryStatus = TrajectoryStatus.COMPLETED
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