SolitaryThinker
4e331eb7ff
Mechanical conversion of every relative import under v2/ to an absolute v2.* path (from .x / ..x / ...x -> from v2.<pkg>.x) so imports are unambiguous, grep-able, and stable when code is copied/moved between entrypoints (VideoGenerator, CLI, server). Surgical prefix-only rewrite: only the 'from <dots><module>' prefix changed — import names, parentheses, multi-line formatting, comments, and ordering are byte-for-byte preserved (no collapsing, no reorder, no unrelated reformatting). - 471 imports across 125 files; v2/tests/ was already absolute (untouched). - Validated: all 125 files compile, every 'from v2.* import' target resolves to a real module/package, zero relative imports remain (full sweep), CPU mini suite green (202 passed, 2 skipped).
23 lines
1.1 KiB
Python
23 lines
1.1 KiB
Python
"""Training methods — all on Wan2.1-1.3B, all over the SHARED loops (design_v3 §10)."""
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from __future__ import annotations
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from v2.training.methods.base import TrainingMethod, new_instance, predict_x0
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from v2.training.methods.diffusion_nft import DiffusionNFTMethod, build_diffusion_nft
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from v2.training.methods.dmd2 import DMD2Method, build_dmd2
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from v2.training.methods.finetune import FineTuneMethod, build_finetune
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from v2.training.methods.joint_multi_rl import JointMultiExpertRL, build_joint_multi_rl
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from v2.training.methods.self_forcing import SelfForcingMethod, build_self_forcing
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from v2.training.methods.unified_rl import UnifiedRLMethod, build_unified_rl
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from v2.training.methods.workflow_rl import WorkflowRLMethod, build_workflow_rl
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__all__ = [
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"TrainingMethod", "new_instance", "predict_x0",
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"FineTuneMethod", "build_finetune",
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"DMD2Method", "build_dmd2",
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"DiffusionNFTMethod", "build_diffusion_nft",
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"SelfForcingMethod", "build_self_forcing",
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"UnifiedRLMethod", "build_unified_rl",
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"JointMultiExpertRL", "build_joint_multi_rl",
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"WorkflowRLMethod", "build_workflow_rl",
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]
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