You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: custom-wgpu-kernel.rs
    path of file: ./repos/burn/examples/custom-wgpu-kernel/examples
    
    the code of the file until where you have to start completion: use burn::{
    backend::wgpu::{AutoGraphicsApi, WgpuRuntime},
    tensor::{Distribution, Tensor},
};
use custom_wgpu_kernel::{
    matmul_add_relu_custom, matmul_add_relu_reference, AutodiffBackend, Backend,
};

fn inference<B: Backend>(device: &B::Device) {
    let lhs = Tensor:
    
fn inference<B: Backend>(device: &B::Device) {
    let lhs = Tensor::<B, 3>::random([1, 32, 32], Distribution::Default, device);
    let rhs = Tensor::random([32, 32, 32], Distribution::Default, device);
    let bias = Tensor::random([32, 32, 32], Distribution::Default, device);

    let reference = matmul_add_relu_reference(lhs.clone(), rhs.clone(), bias.clone())
        .into_data()
        .convert::<f32>();
    let custom = matmul_add_relu_custom(lhs, rhs, bias)
        .into_data()
        .convert::<f32>();

    reference.assert_approx_eq(&custom, 3);

    println!("Both reference and the custom fused kernel have the same output");
}