dela
584f7e9e73
Standalone tree split from LLMRL/projects/kda. Includes Triton dt_bias backward fix, train_k3 --preset 0.5b, SFT, Docker runtime, and tests.
35 lines
658 B
Python
35 lines
658 B
Python
"""Identity dispatch: keep the NVIDIA Triton implementation in this tree."""
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from __future__ import annotations
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from collections.abc import Callable
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from typing import TypeVar
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F = TypeVar("F", bound=Callable)
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def dispatch(operation: str):
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def decorator(func: F) -> F:
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return func
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return decorator
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class BaseBackend:
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backend_type = "triton"
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def is_available(self) -> bool:
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return True
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def is_enabled(self) -> bool:
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return True
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class BackendRegistry:
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@classmethod
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def ensure_initialized(cls, operation: str) -> None:
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return None
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__all__ = ["BackendRegistry", "BaseBackend", "dispatch"]
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