Kernels
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drbh HF Staff
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import torch
from ._ops import ops
from . import layers
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
ops.silu_and_mul(out, x)
return out
def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
ops.mul_and_silu(out, x)
return out
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
ops.gelu_and_mul(out, x)
return out
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
ops.gelu_tanh_and_mul(out, x)
return out
def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
ops.fatrelu_and_mul(out, x, threshold)
return out
def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
ops.gelu(out, x)
return out
def silu(out: torch.Tensor, x: torch.Tensor) -> None:
ops.silu(out, x)
return out
def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
ops.gelu_tanh(out, x)
return out
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
ops.gelu_fast(out, x)
return out
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
ops.gelu_new(out, x)
return out
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
ops.gelu_quick(out, x)
return out
__all__ = [
"silu_and_mul",
"mul_and_silu",
"gelu_and_mul",
"gelu_tanh_and_mul",
"fatrelu_and_mul",
"gelu_fast",
"gelu_new",
"gelu_quick",
"gelu_tanh",
"silu",
"gelu",
"layers",
]