[kernel slimming] Move fast_hadamard_transform to jit_kernel (#18475)
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@@ -65,13 +65,6 @@ from sgl_kernel.gemm import (
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silu_and_mul_scaled_fp4_grouped_quant,
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)
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from sgl_kernel.grammar import apply_token_bitmask_inplace_cuda
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from sgl_kernel.hadamard import (
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hadamard_transform,
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hadamard_transform_12n,
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hadamard_transform_20n,
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hadamard_transform_28n,
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hadamard_transform_40n,
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)
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from sgl_kernel.kvcacheio import (
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transfer_kv_all_layer,
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transfer_kv_all_layer_mla,
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@@ -1,21 +0,0 @@
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import torch
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def hadamard_transform(x: torch.Tensor, scale: float = 1.0) -> torch.Tensor:
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return torch.ops.sgl_kernel.fast_hadamard_transform.default(x, scale)
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def hadamard_transform_12n(x: torch.Tensor, scale: float = 1.0) -> torch.Tensor:
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return torch.ops.sgl_kernel.fast_hadamard_transform_12N.default(x, scale)
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def hadamard_transform_20n(x: torch.Tensor, scale: float = 1.0) -> torch.Tensor:
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return torch.ops.sgl_kernel.fast_hadamard_transform_20N.default(x, scale)
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def hadamard_transform_28n(x: torch.Tensor, scale: float = 1.0) -> torch.Tensor:
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return torch.ops.sgl_kernel.fast_hadamard_transform_28N.default(x, scale)
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def hadamard_transform_40n(x: torch.Tensor, scale: float = 1.0) -> torch.Tensor:
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return torch.ops.sgl_kernel.fast_hadamard_transform_40N.default(x, scale)
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