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#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::{Parser, ValueEnum};
use candle::{DType, IndexOp, D};
use candle_nn::{Module, VarBuilder};
use candle_transformers::models::fastvit;
#[derive(Clone, Copy, Debug, ValueEnum)]
enum Which {
T8,
T12,
S12,
SA12,
SA24,
SA36,
MA36,
}
impl Which {
fn model_filename(&self) -> String {
let name = match self {
Self::T8 => "t8",
Self::T12 => "t12",
Self::S12 => "s12",
Self::SA12 => "sa12",
Self::SA24 => "sa24",
Self::SA36 => "sa36",
Self::MA36 => "ma36",
};
format!("timm/fastvit_{}.apple_in1k", name)
}
fn config(&self) -> fastvit::Config {
match self {
Self::T8 => fastvit::Config::t8(),
Self::T12 => fastvit::Config::t12(),
Self::S12 => fastvit::Config::s12(),
Self::SA12 => fastvit::Config::sa12(),
Self::SA24 => fastvit::Config::sa24(),
Self::SA36 => fastvit::Config::sa36(),
Self::MA36 => fastvit::Config::ma36(),
}
}
}
#[derive(Parser)]
struct Args {
#[arg(long)]
model: Option<String>,
#[arg(long)]
image: String,
/// Run on CPU rather than on GPU.
#[arg(long)]
cpu: bool,
#[arg(value_enum, long, default_value_t=Which::S12)]
which: Which,
}
pub fn main() -> anyhow::Result<()> {
let args = Args::parse();
let device = candle_examples::device(args.cpu)?;
let image = candle_examples::imagenet::load_image(args.image, 256)?.to_device(&device)?;
println!("loaded image {image:?}");
let model_file = match args.model {
None => {
let model_name = args.which.model_filename();
let api = hf_hub::api::sync::Api::new()?;
let api = api.model(model_name);
api.get("model.safetensors")?
}
Some(model) => model.into(),
};
let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[model_file], DType::F32, &device)? };
let model = fastvit::fastvit(&args.which.config(), 1000, vb)?;
println!("model built");
let logits = model.forward(&image.unsqueeze(0)?)?;
let prs = candle_nn::ops::softmax(&logits, D::Minus1)?
.i(0)?
.to_vec1::<f32>()?;
let mut prs = prs.iter().enumerate().collect::<Vec<_>>();
prs.sort_by(|(_, p1), (_, p2)| p2.total_cmp(p1));
for &(category_idx, pr) in prs.iter().take(5) {
println!(
"{:24}: {:.2}%",
candle_examples::imagenet::CLASSES[category_idx],
100. * pr
);
}
Ok(())
}
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