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activation: fix signatures #868

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Merged
danieldk merged 2 commits into from
May 18, 2026
Merged

activation: fix signatures #868

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0107e0c
activation: fix signatures
danieldk May 18, 2026
6bb669c
activation: update flake
danieldk May 18, 2026
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7 changes: 3 additions & 4 deletions activation/flake.lock
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2 changes: 1 addition & 1 deletion activation/flake.nix
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
description = "Flake for activation kernels";

inputs = {
kernel-builder.url = "github:huggingface/kernels/torch-2.12";
kernel-builder.url = "github:huggingface/kernels";
};

outputs =
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22 changes: 11 additions & 11 deletions activation/torch-ext/activation/__init__.py
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Expand Up @@ -5,56 +5,56 @@
from . import layers


def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.silu_and_mul(out, x)
return out


def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.mul_and_silu(out, x)
return out


def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.gelu_and_mul(out, x)
return out


def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.gelu_tanh_and_mul(out, x)
return out


def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
ops.fatrelu_and_mul(out, x, threshold)
return out


def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.gelu(out, x)
return out

def silu(out: torch.Tensor, x: torch.Tensor) -> None:
def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.silu(out, x)
return out


def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.gelu_tanh(out, x)
return out


def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.gelu_fast(out, x)
return out


def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.gelu_new(out, x)
return out


def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
ops.gelu_quick(out, x)
return out

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