4 Commits

Include renames

Author	SHA1	Message	Date
Peiyuan Zhang	67f5b53595	[fix]: keep v2 examples runnable	2026-07-04 20:22:18 +00:00
Peiyuan Zhang	82e00615e5	[feat]: wire v2 VideoGenerator to real torch backend	2026-07-04 19:31:55 +00:00
Will Lin	1fe50c0092	[refactor] v2: group flat top-level into planes; isolate vendored under _vendor/ ... The v2 top level had grown to ~27 dirs + 13 loose files — half of them single-concept abstraction shells (memory/ 86 LOC, transport/ 222, parity/ 178, extend/ 226) and half vendored fastvideo code sitting as peers to the actual v2 design. Regroup to mirror README section 3 "Planes & dependency order": core/ enums+types, card, loop, program, parity, request, parallel (the model-native contracts; no kernels) runtime/ + folded-in substrate: cache, memory, transport, extend (the import graph shows only runtime consumes them; compile/cudagraph already lived here) serving/ + deploy/ (products / fleet) _vendor/ all copied fastvideo: models, layers, attention, configs, distributed, platforms, api, hooks, logging_utils, third_party + fastvideo_args/ utils/logger/envs/forward_context — internal layout unchanged, still mirrors upstream for diffing 28 dirs + 13 root files -> 8 dirs + 6 root files. Pure mechanical move: 947 absolute-import paths rewritten (v2.X -> v2.{core,runtime,serving,_vendor}.X), boundary-anchored so platform/ (native dispatch) and platforms/ (vendored CUDA detect) no longer collide and neither does hooks/ vs extend/. Deleted the empty v2/loader/. README section 3 + 16 updated; stale test count corrected (34 files/216 tests -> 22 files/143 tests). Validated: `import v2` stays torch-free; `v2/run_tests.py` and `pytest v2/tests/` -> 143 passed, 2 skipped on the numpy toy backend. (On a GPU box force the toy backend with CUDA_VISIBLE_DEVICES="" or detect() picks cuda.) No external importer changed — examples use the re-exported `from v2 import VideoGenerator`.	2026-07-04 17:15:34 +00:00
SolitaryThinker	18dd295e8d	[examples] Add v2_examples/inference/ — runnable Wan2.1 inference examples ... Five self-contained, runnable scripts (CPU/numpy) for the Wan2.1-1.3B card on the v2 runtime, each bootstrapping the repo onto sys.path so they run from anywhere: - 01_basic_t2v.py minimal path: build engine → T2V request → run → video - 02_params_and_reproducibility.py DiffusionParams knobs + seeded bit-identical reproducibility - 03_streaming.py per-denoise-step preview chunks (OutputSpec stream) - 04_concurrent_interleaved.py step-interleaved batching + interleave parity gate + cache reuse - 05_async_serving.py AsyncEngine: concurrent generate, event stream, step-boundary cancel + README.md indexing them. All five run green; use only the public API.	2026-07-04 17:15:34 +00:00