Files
hao-ai-lab-FastVideo/v2/models/wan_causal/program.py
T
SolitaryThinker 4e331eb7ff [refactor] v2: use absolute imports (v2.*) everywhere instead of relative
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).
2026-07-04 17:15:34 +00:00

24 lines
1.1 KiB
Python

"""Wan-causal streaming program: text_encode → chunk_rollout → vae_decode (design_v3 §4, §15e)."""
from __future__ import annotations
from v2.program import ComponentNode, ModelLoopNode, Program, ProgramKind
from v2.models.common import text_encode_node_fn as _text_encode
def _vae_decode(instance, slots, request, ctx) -> None:
latents = slots["rollout_out"]["latents"]
slots["video"] = instance.component("vae").decode(latents) if latents is not None else None
def build_wan_causal_program() -> Program:
return Program(
program_id="wan_causal.stream", kind=ProgramKind.INLINE,
nodes=[
ComponentNode("text_encode", fn=_text_encode, writes=("text_embeds", "neg_text_embeds")),
ModelLoopNode("rollout", loop_id="chunk_rollout", output_slot="rollout_out",
reads=("text_embeds",), writes=("rollout_out",)),
ComponentNode("vae_decode", fn=_vae_decode, reads=("rollout_out",), writes=("video",)),
],
output_artifacts={"video": "video", "latents": "rollout_out"},
).validate()