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hao-ai-lab-FastVideo/v2/platform/__init__.py
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Python

"""The multi-backend dispatch substrate.
Two tuple-keyed registries (``COMPONENTS``, ``KERNELS``) + a ``Platform`` that detects ``(device,
arch)`` and resolves both, with the numpy reference as the terminal fallback rung and parity oracle.
Lets CPU, GPU, and other backends coexist: a model's loops, policies, scheduler, caches, and
inference code never names a device; it calls through the component/kernel seams and the resolved
``Platform`` decides the implementation.
Importing this package is cheap and cycle-free (registry + platform classes only); the concrete
backend registrations in ``backends/`` are imported lazily on first ``Platform`` use.
"""
from __future__ import annotations
from v2.platform.platform import (
KernelTable,
Platform,
component_matrix,
ensure_backends_loaded,
kernel_matrix,
)
from v2.platform.registry import (
COMPONENTS,
FLOW_MATCH_STEP,
FLOW_SDE_STEP,
KERNELS,
register_component,
register_kernel,
)
__all__ = [
"Platform",
"KernelTable",
"COMPONENTS",
"KERNELS",
"register_component",
"register_kernel",
"ensure_backends_loaded",
"kernel_matrix",
"component_matrix",
"FLOW_MATCH_STEP",
"FLOW_SDE_STEP",
]