ViperEkura
2bc4d2b8a8
- loader.py: lazy/cached import; is_available defers the actual load; get_module raises on unavailable
- ops/{attention,rotary,fp8}: use get_module instead of touching private _modules or their own _mod() cache
- package-data: ship astrai.extension.lib *.so in built wheels (non-editable installs previously lost every kernel)
32 lines
973 B
Python
32 lines
973 B
Python
"""Rotary embedding CUDA kernel wrapper.
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Calls the compiled CUDA kernel directly. If the kernel is not available,
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raises ``RuntimeError``. Fallback to torch complex multiply is the
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responsibility of ``astrai.extension.backend.rotary.apply_rotary_emb``.
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Layout: x is packed [tokens, n_heads, head_dim] or dense
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[batch, seq_len, n_heads, head_dim]. ``freqs_cis`` has matching token axes.
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"""
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import torch
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from astrai.extension.loader import get_module
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def rotary_emb(x: torch.Tensor, freqs_cis: torch.Tensor) -> torch.Tensor:
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"""Fused rotary embedding kernel.
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Args:
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x: packed 3D or dense 4D bf16 tensor.
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freqs_cis: matching token axes followed by [head_dim/2, 2].
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Returns:
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Tensor with the same shape as ``x``.
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"""
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mod = get_module("rotary_emb")
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if not x.is_contiguous():
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x = x.contiguous()
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if not freqs_cis.is_contiguous():
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freqs_cis = freqs_cis.contiguous()
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return mod.rotary_emb(x, freqs_cis)
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