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hao-ai-lab-FastVideo/v2/_types.py
T
SolitaryThinker a9e5f6ee7a [refactor] rename package mini_fastvideo → v2
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
2026-07-04 17:15:34 +00:00

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Python

"""Shared lightweight type aliases for v2.
The core (card/loop/runtime/cache/parity/program/request/training) is numpy-only
and CPU-testable. Tensors are therefore typed structurally as ``TensorLike``:
on the CPU test path they are ``numpy.ndarray``; on a GPU box the same code runs
with ``torch.Tensor``. The core never imports torch — only model-component
*adapters* do, lazily (see ``v2/card/components.py``).
"""
from __future__ import annotations
from typing import Any
# A tensor-like object. numpy.ndarray (CPU tests) or torch.Tensor (GPU). The core
# only relies on duck-typed ops provided by the active backend (see card/backend).
TensorLike = Any
Shape = tuple[int, ...]
# A stable content hash (hex) used for cache keys and provenance.
Hash = str