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: dinov2.rs
    path of file: ./repos/tch-rs/src/vision
    
    the code of the file until where you have to start completion: //! DINOv2: Learning Robust Visual Features without Supervision
//! https://github.com/facebookresearch/dinov2
//! The weights can be extracted from pre-trained Python models
//! using 
    
    pub fn new(vs: &nn::Path, depth: usize, embed_dim: i64, num_heads: i64) -> Self {
        let patch_embed = PatchEmbed::new(vs / "patch_embed", IMG_SIZE, PATCH_SIZE, 3, embed_dim);
        let cls_token = vs.var("cls_token", &[1, 1, embed_dim], nn::Init::Const(0.));
        let num_tokens = 1;
        let pos_embed = vs.var(
            "pos_embed",
            &[1, patch_embed.num_patches + num_tokens, embed_dim],
            nn::Init::Const(0.),
        );
        let head = nn::linear(vs / "head", 2 * embed_dim, NUM_CLASSES, Default::default());
        let norm = nn::layer_norm(vs / "norm", vec![embed_dim], Default::default());
        let blocks =
            (0..depth).map(|i| Block::new(vs / "blocks" / i, embed_dim, num_heads)).collect();
        Self { patch_embed, cls_token, pos_embed, blocks, norm, head }
    }