100 lines
2.6 KiB
Rust
100 lines
2.6 KiB
Rust
#[cfg(feature = "mkl")]
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extern crate intel_mkl_src;
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#[cfg(feature = "accelerate")]
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extern crate accelerate_src;
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use clap::{Parser, ValueEnum};
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use candle::{DType, IndexOp, D};
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use candle_nn::{Module, VarBuilder};
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use candle_transformers::models::hiera;
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#[derive(Clone, Copy, Debug, ValueEnum)]
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enum Which {
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Tiny,
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Small,
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Base,
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BasePlus,
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Large,
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Huge,
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}
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impl Which {
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fn model_filename(&self) -> String {
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let name = match self {
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Self::Tiny => "tiny",
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Self::Small => "small",
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Self::Base => "base",
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Self::BasePlus => "base_plus",
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Self::Large => "large",
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Self::Huge => "huge",
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};
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format!("timm/hiera_{}_224.mae_in1k_ft_in1k", name)
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}
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fn config(&self) -> hiera::Config {
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match self {
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Self::Tiny => hiera::Config::tiny(),
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Self::Small => hiera::Config::small(),
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Self::Base => hiera::Config::base(),
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Self::BasePlus => hiera::Config::base_plus(),
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Self::Large => hiera::Config::large(),
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Self::Huge => hiera::Config::huge(),
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}
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}
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}
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#[derive(Parser)]
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struct Args {
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#[arg(long)]
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model: Option<String>,
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#[arg(long)]
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image: String,
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/// Run on CPU rather than on GPU.
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#[arg(long)]
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cpu: bool,
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#[arg(value_enum, long, default_value_t=Which::Tiny)]
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which: Which,
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}
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pub fn main() -> anyhow::Result<()> {
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let args = Args::parse();
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let device = candle_examples::device(args.cpu)?;
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let image = candle_examples::imagenet::load_image224(args.image)?.to_device(&device)?;
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println!("loaded image {image:?}");
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let model_file = match args.model {
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None => {
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let model_name = args.which.model_filename();
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let api = hf_hub::api::sync::Api::new()?;
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let api = api.model(model_name);
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api.get("model.safetensors")?
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}
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Some(model) => model.into(),
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};
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let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[model_file], DType::F32, &device)? };
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let model = hiera::hiera(&args.which.config(), 1000, vb)?;
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println!("model built");
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let logits = model.forward(&image.unsqueeze(0)?)?;
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let prs = candle_nn::ops::softmax(&logits, D::Minus1)?
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.i(0)?
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.to_vec1::<f32>()?;
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let mut prs = prs.iter().enumerate().collect::<Vec<_>>();
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prs.sort_by(|(_, p1), (_, p2)| p2.total_cmp(p1));
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for &(category_idx, pr) in prs.iter().take(5) {
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println!(
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"{:24}: {:.2}%",
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candle_examples::imagenet::CLASSES[category_idx],
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100. * pr
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);
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}
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Ok(())
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}
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