ViperEkura
6709534d64
- delete csrc/kernels/gemm.cu and swiglu.cu and drop their CMake and setup.py registration - remove the ops wrappers plus backend/linear.py and backend/swiglu.py so Linear and MLP call F.linear directly - drop the four gemm and swiglu kernel test files and prune the stale cuda_kernels.md sections - add csrc/bench benchmarks for the remaining kernels: attention decode prefill paged decode paged prefill versus single-launch SDPA references, rotary versus the torch fallback, fp8 quantize and mm_fp8 versus torch baselines - attention, rotary_emb, and fp8_ops kernels are unchanged
28 lines
594 B
Python
28 lines
594 B
Python
"""Backend selection, fallbacks, and execution policies."""
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from astrai.extension.backend.attention import (
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ATTN_BACKEND,
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AttentionBackend,
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AttentionBackendFactory,
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CudaBackend,
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FlashAttnBackend,
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TorchNativeBackend,
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attention,
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attn_backend,
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get_backend,
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)
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from astrai.extension.backend.rotary import apply_rotary_emb
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__all__ = [
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"ATTN_BACKEND",
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"AttentionBackend",
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"AttentionBackendFactory",
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"CudaBackend",
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"FlashAttnBackend",
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"TorchNativeBackend",
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"apply_rotary_emb",
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"attention",
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"attn_backend",
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"get_backend",
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]
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