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use candle::Tensor;
use serde::Deserialize;
#[derive(Debug, Clone, Copy, PartialEq, Deserialize, Default)]
#[serde(rename_all = "lowercase")]
pub enum Activation {
#[default]
Gelu,
#[serde(rename = "gated-gelu")]
NewGelu,
Relu,
Relu2,
Relu6,
Silu,
Sigmoid,
Swish,
Elu(f64),
LeakyRelu(f64),
}
impl super::Module for Activation {
fn forward(&self, xs: &Tensor) -> candle::Result<Tensor> {
match self {
Self::Gelu => xs.gelu_erf(),
// https://github.com/huggingface/transformers/blob/12f043eaeaabfef6f6efea411d98e6f6d3c094b7/src/transformers/activations.py#L49-L78
Self::NewGelu => xs.gelu(),
Self::Relu => xs.relu(),
Self::Relu2 => xs.relu()?.sqr(),
Self::Relu6 => xs.clamp(0f32, 6f32),
Self::Silu => crate::ops::silu(xs),
Self::Sigmoid => crate::ops::sigmoid(xs),
Self::Swish => xs * crate::ops::sigmoid(xs)?,
&Self::Elu(alpha) => xs.elu(alpha),
&Self::LeakyRelu(negative_slope) => crate::ops::leaky_relu(xs, negative_slope),
}
}
}
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