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: mod.rs
    path of file: ./repos/dfdx/dfdx-core/src/tensor_ops/relu
    
    the code of the file until where you have to start completion: mod cpu_kernel;

#[cfg(feature = "cuda")]
mod cuda_kernel;

#[cfg(feature = "webgpu")]
mod webgpu_kernel;

use super::ops::{try_unary_op, UnaryKernel};
use crate::{shapes::*, tensor::*};

#[repr(C)]
#[derive(Debug, Default, Copy, Clone)]
pub struct ReLUKernelOp;

/// [Rectified Lin
    
    fn test_relu() {
        let dev: TestDevice = Default::default();
        let x = dev
            .tensor([-2.0, -1.0, 0.0, 1.0, 2.0])
            .to_dtype::<TestDtype>();
        let r = x.leaky_trace().relu();
        assert_close_to_literal!(r, [0.0, 0.0, 0.0, 1.0, 2.0]);
        // NOTE: call .exp() to make sure we cover cases where .relu() uses the result's gradient
        let g = r.exp().mean().backward();
        assert_close_to_literal!(g.get(&x), [0.0, 0.0, 0.0, 0.54365635, 1.4778112]);
    }