Files
MiniCPM5-1B-rust/crates/minicpm-core/src/model/ffn.rs
T
macrocc 69b37ced07 refactor(项目结构) 重构为 workspace 多成员项目
- 将项目拆分为三个 crate:minicpm-core(核心模型)、minicpm-convert(转换功能)、minicpm-inference(推理功能)
- 添加两个示例:minimal-inference(最小推理)和 convert(模型转换)
- 转换后自动拷贝 config.json 和 tokenizer.json 到 model 目录
- 更新 README 说明 workspace 结构和使用方式
2026-07-01 14:33:28 +08:00

33 lines
1.0 KiB
Rust

use burn::module::Module;
use burn::nn::{Linear, LinearConfig};
use burn::tensor::backend::Backend;
use burn::tensor::activation::silu;
use burn::tensor::{Float, Tensor};
#[derive(Module, Debug)]
pub struct FeedForward<B: Backend> {
pub gate_proj: Linear<B>,
pub up_proj: Linear<B>,
pub down_proj: Linear<B>,
}
impl<B: Backend> FeedForward<B> {
pub fn new(hidden_size: usize, intermediate_size: usize, device: &B::Device) -> Self {
let gate_proj = LinearConfig::new(hidden_size, intermediate_size).init(device);
let up_proj = LinearConfig::new(hidden_size, intermediate_size).init(device);
let down_proj = LinearConfig::new(intermediate_size, hidden_size).init(device);
Self {
gate_proj,
up_proj,
down_proj,
}
}
pub fn forward(&self, x: Tensor<B, 3, Float>) -> Tensor<B, 3, Float> {
let gate = self.gate_proj.forward(x.clone());
let up = self.up_proj.forward(x);
let activated = silu(gate) * up;
self.down_proj.forward(activated)
}
}