memra-engine 0.85.1

From-scratch CUDA LLM inference engine for NVIDIA RTX 50-series (sm_120a) and Hopper (sm_90a) - custom kernels, no frameworks
Documentation
//! Host preprocessor for vision input (lane/vision): bytes -> ViT patch rows.
//!
//! Qwen2VLImageProcessorFast semantics: smart_resize to multiples of
//! factor = patch(16) * merge(2) = 32 with the pixel-area budget, rescale 1/255,
//! normalize mean/std 0.5 -> [-1, 1], patchify to [gh*gw, 3*2*16*16 = 1536] rows in
//! row-major grid order with (c, t, ph, pw) inner order — the flatten of the conv
//! weight [1152, 3, 2, 16, 16], so `VisionTower::forward` consumes rows directly.
//! Images duplicate their frame across temporal_patch 2; videos fill the pair with
//! consecutive sampled frames.
//!
//! Resize filter: CatmullRom (Keys bicubic a=-0.5, PIL-BICUBIC family). The HF fast
//! processor runs torch bicubic (a=-0.75) antialias — close but not bit-equal; the
//! merger-cosine parity gate arbitrates whether the difference matters.

use crate::vision::{V_MERGE, V_PATCH, V_PATCH_IN, V_TEMPORAL};
use base64::Engine as _;
use image::RgbImage;
use image::imageops::FilterType;

/// Area budget (pixels) from preprocessor_config: shortest_edge / longest_edge.
pub const MIN_PIXELS: usize = 65536;
pub const MAX_PIXELS: usize = 16_777_216;
const FACTOR: usize = V_PATCH * V_MERGE; // 32

pub struct PreppedImage {
    /// [gh*gw, 1536] row-major grid order.
    pub patches: Vec<f32>,
    pub gh: usize,
    pub gw: usize,
}

impl PreppedImage {
    /// Trunk tokens this image occupies (after 2x2 merge).
    pub fn n_tokens(&self) -> usize {
        self.gh * self.gw / (V_MERGE * V_MERGE)
    }
}

/// smart_resize (HF): round each side to a multiple of 32 preserving aspect ratio,
/// then scale into the [MIN_PIXELS, MAX_PIXELS] area budget.
pub fn smart_resize(h: usize, w: usize) -> Result<(usize, usize), String> {
    if h < 2 || w < 2 {
        return Err(format!("image too small: {w}x{h}"));
    }
    let ar = h.max(w) as f64 / h.min(w) as f64;
    if ar > 200.0 {
        return Err(format!("aspect ratio {ar:.0} exceeds 200"));
    }
    let f = FACTOR as f64;
    let (hf, wf) = (h as f64, w as f64);
    let mut h_bar = ((hf / f).round() * f).max(f);
    let mut w_bar = ((wf / f).round() * f).max(f);
    if h_bar * w_bar > MAX_PIXELS as f64 {
        let beta = (hf * wf / MAX_PIXELS as f64).sqrt();
        h_bar = ((hf / beta / f).floor() * f).max(f);
        w_bar = ((wf / beta / f).floor() * f).max(f);
    } else if h_bar * w_bar < MIN_PIXELS as f64 {
        let beta = (MIN_PIXELS as f64 / (hf * wf)).sqrt();
        h_bar = (hf * beta / f).ceil() * f;
        w_bar = (wf * beta / f).ceil() * f;
    }
    Ok((h_bar as usize, w_bar as usize))
}

/// Decode + resize one image to its target grid. Returns the resized RGB frame and
/// the patch grid (gh, gw) in 16px patches (both even — factor 32 guarantees it).
fn decode_frame(bytes: &[u8]) -> Result<(RgbImage, usize, usize), String> {
    let img = image::load_from_memory(bytes).map_err(|e| format!("image decode: {e}"))?;
    let rgb = img.to_rgb8();
    let (w, h) = (rgb.width() as usize, rgb.height() as usize);
    let (rh, rw) = smart_resize(h, w)?;
    let resized = image::imageops::resize(&rgb, rw as u32, rh as u32, FilterType::CatmullRom);
    Ok((resized, rh / V_PATCH, rw / V_PATCH))
}

/// Fill patch rows for one temporal slot `t` from a frame. Rows are row-major over
/// the (gh, gw) grid; inner order (c, t, ph, pw).
fn fill_slot(rows: &mut [f32], frame: &RgbImage, gh: usize, gw: usize, t: usize) {
    let inv = 1.0f32 / 127.5;
    for py in 0..gh {
        for px in 0..gw {
            let row = &mut rows[(py * gw + px) * V_PATCH_IN..(py * gw + px + 1) * V_PATCH_IN];
            for c in 0..3 {
                let base = c * V_TEMPORAL * V_PATCH * V_PATCH + t * V_PATCH * V_PATCH;
                for ph in 0..V_PATCH {
                    for pw in 0..V_PATCH {
                        let p =
                            frame.get_pixel((px * V_PATCH + pw) as u32, (py * V_PATCH + ph) as u32);
                        row[base + ph * V_PATCH + pw] = p.0[c] as f32 * inv - 1.0;
                    }
                }
            }
        }
    }
}

/// Image bytes (png/jpeg/webp/gif/bmp) -> patch rows. The single frame fills both
/// temporal slots (HF: images are tiled to temporal_patch_size).
pub fn prep_image_bytes(bytes: &[u8]) -> Result<PreppedImage, String> {
    let (frame, gh, gw) = decode_frame(bytes)?;
    let mut patches = vec![0f32; gh * gw * V_PATCH_IN];
    for t in 0..V_TEMPORAL {
        fill_slot(&mut patches, &frame, gh, gw, t);
    }
    Ok(PreppedImage { patches, gh, gw })
}

/// `data:image/...;base64,<payload>` -> patch rows.
pub fn prep_data_uri(uri: &str) -> Result<PreppedImage, String> {
    let bytes = decode_data_uri(uri)?;
    prep_image_bytes(&bytes)
}

/// Parse a base64 data URI into raw bytes (any `data:*;base64,` media type).
pub fn decode_data_uri(uri: &str) -> Result<Vec<u8>, String> {
    let rest = uri
        .strip_prefix("data:")
        .ok_or_else(|| "expected data: URI (http fetch requires MEMRA_FETCH_URLS=1)".to_string())?;
    let (meta, payload) = rest
        .split_once(',')
        .ok_or_else(|| "malformed data URI: no comma".to_string())?;
    if !meta.ends_with(";base64") {
        return Err("data URI must be base64-encoded".into());
    }
    base64::engine::general_purpose::STANDARD
        .decode(payload.trim())
        .map_err(|e| format!("base64 decode: {e}"))
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn smart_resize_multiples_and_budget() {
        // typical photo
        let (h, w) = smart_resize(1080, 1920).unwrap();
        assert_eq!(h % 32, 0);
        assert_eq!(w % 32, 0);
        assert!(h * w >= MIN_PIXELS && h * w <= MAX_PIXELS);
        // tiny icon scales UP to the floor
        let (h, w) = smart_resize(64, 64).unwrap();
        assert!(h * w >= MIN_PIXELS);
        // huge pano scales DOWN under the cap
        let (h, w) = smart_resize(8000, 12000).unwrap();
        assert!(h * w <= MAX_PIXELS);
        assert!(smart_resize(10, 4000).is_err()); // ar > 200
    }

    #[test]
    fn patchify_shape_and_order() {
        // 2x2-patch (32x32 px) synthetic image, distinct channel values
        let mut img = RgbImage::new(64, 64);
        for (x, y, p) in img.enumerate_pixels_mut() {
            *p = image::Rgb([x as u8, y as u8, 200]);
        }
        let mut buf = std::io::Cursor::new(Vec::new());
        img.write_to(&mut buf, image::ImageFormat::Png).unwrap();
        let prep = prep_image_bytes(buf.get_ref()).unwrap();
        assert_eq!(prep.patches.len(), prep.gh * prep.gw * V_PATCH_IN);
        assert_eq!(prep.gh % V_MERGE, 0);
        assert_eq!(prep.gw % V_MERGE, 0);
        // temporal slots identical for still images
        let row = &prep.patches[0..V_PATCH_IN];
        let slot = V_PATCH * V_PATCH;
        for c in 0..3 {
            let b = c * V_TEMPORAL * slot;
            assert_eq!(row[b..b + slot], row[b + slot..b + 2 * slot]);
        }
        // values in [-1, 1]
        assert!(prep.patches.iter().all(|v| (-1.0..=1.0).contains(v)));
    }

    #[test]
    fn data_uri_roundtrip() {
        let png = {
            let img = RgbImage::new(32, 32);
            let mut buf = std::io::Cursor::new(Vec::new());
            img.write_to(&mut buf, image::ImageFormat::Png).unwrap();
            buf.into_inner()
        };
        let uri = format!(
            "data:image/png;base64,{}",
            base64::engine::general_purpose::STANDARD.encode(&png)
        );
        let prep = prep_data_uri(&uri).unwrap();
        assert_eq!(prep.n_tokens(), prep.gh * prep.gw / 4);
        assert!(decode_data_uri("http://x/y.png").is_err());
    }
}