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cudnn-frontend
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# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
import importlib
import sys
from typing import Any
from .sdpa import scaled_dot_product_attention
# moe_grouped_matmul / swiglu_mlp live with the rest of the GEMM family in
# cudnn.gemm.ops (their modules import torch). Expose them here lazily so that
# importing this package does not eagerly pull in those kernel modules; the
# submodule aliases (``cudnn.experimental.ops.<name>``) are registered on first
# access, so ``from cudnn.experimental.ops import <name>`` keeps resolving.
_LAZY_ALIASES = {
"moe_grouped_matmul": "cudnn.gemm.ops.moe_grouped_matmul",
"swiglu_mlp": "cudnn.gemm.ops.swiglu_mlp",
}
def __getattr__(name: str) -> Any:
try:
target = _LAZY_ALIASES[name]
except KeyError:
raise AttributeError(f"module {__name__!r} has no attribute {name!r}") from None
module = importlib.import_module(target)
sys.modules[f"{__name__}.{name}"] = module
value = getattr(module, name)
globals()[name] = value
return value
__all__ = [
"scaled_dot_product_attention",
"moe_grouped_matmul",
"swiglu_mlp",
]
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