Files
hao-ai-lab-FastVideo/tests/local_tests
SolitaryThinker dfcf0a181f [feat] cosmos3 PR4: deepstack reasoner forward (image-conditioned reasoning)
Add the one new native piece for image-conditioned reasoning: a deepstack-capable
reasoner backbone forward. The other parts are already proven/reusable — the
Qwen3-VL vision_encoder (transformers, bit-exact vs framework) and the multimodal
prefill (masked-scatter of image features + get_rope_index, standard transformers
Qwen3-VL boilerplate, reusable like the tokenizer/encoder).

- `Cosmos3VFMTransformer.reason_forward(inputs_embeds, position_ids,
  deepstack_embeds, visual_pos_mask)`: runs the und (causal) layers over a single
  text(+image) sequence, injecting per-layer deepstack visual embeds at the visual
  positions for the first `len(deepstack_embeds)` layers (Qwen3-VL deepstack),
  then final `norm`. Mirrors the framework `reasoner_forward`.
- Parity (`test_cosmos3_reasoning_parity::test_deepstack_reasoner_forward_matches_framework`):
  native `reason_forward` vs framework `reasoner_forward` given identical
  inputs_embeds + positions + per-layer deepstack + visual mask — hidden states
  max abs diff = 0.0, mean = 0.0.

All five omni modalities are now bit-exact vs the framework (video/audio/action
gen, text reasoning, vision encoding, deepstack reasoner). Full suite: 150 passed.
2026-07-21 15:45:38 -07:00
..
2026-06-09 14:55:55 -07:00
2026-06-09 14:55:55 -07:00

Local Tests

Local-only parity, smoke, and component tests for FastVideo model ports. They compare FastVideo against the official reference implementations and are skipped in CI; run them locally on a single GPU (or CPU where noted).

For the CI-backed test suite, see fastvideo/tests/.

Layout

Tests are organized by model family, one directory per port. Each family directory follows the layout produced by the add-model-prep skill:

tests/local_tests/<family>/
├── README.md         # reference assets, setup, test inventory
├── __init__.py
└── test_<family>_<component>_*.py

Families

Family Workload Dir
Flux2 T2I flux2/
Hunyuan GameCraft T2V / I2V gamecraft/
GEN3C T2V gen3c/
Kandinsky-5 T2V kandinsky5/
LTX-2 T2V (+ audio) ltx2/
Stable Diffusion 3.5 T2I sd35/
Stable Audio Open 1.0 T2A stable_audio/
Wan2.2 I2V wan22/

Running a family

pytest tests/local_tests/<family>/ -v -s

See each family's README.md for setup (clones, weights, env vars, gated tokens) and the per-component parity coverage.

Adding a new family

Run the add-model-prep skill from the FastVideo repo root. It scaffolds the family directory and README.md and stages reference clones + weights. (In-progress ports may also add a PORT_STATUS.md from the same skill template; remove it once the port lands.)