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-rw-r--r--candle-examples/examples/mobilenetv4/main.rs106
1 files changed, 106 insertions, 0 deletions
diff --git a/candle-examples/examples/mobilenetv4/main.rs b/candle-examples/examples/mobilenetv4/main.rs
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+++ b/candle-examples/examples/mobilenetv4/main.rs
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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::mobilenetv4;
+
+#[derive(Clone, Copy, Debug, ValueEnum)]
+enum Which {
+ Small,
+ Medium,
+ Large,
+ HybridMedium,
+ HybridLarge,
+}
+
+impl Which {
+ fn model_filename(&self) -> String {
+ let name = match self {
+ Self::Small => "conv_small.e2400_r224",
+ Self::Medium => "conv_medium.e500_r256",
+ Self::HybridMedium => "hybrid_medium.ix_e550_r256",
+ Self::Large => "conv_large.e600_r384",
+ Self::HybridLarge => "hybrid_large.ix_e600_r384",
+ };
+ format!("timm/mobilenetv4_{}_in1k", name)
+ }
+
+ fn resolution(&self) -> u32 {
+ match self {
+ Self::Small => 224,
+ Self::Medium => 256,
+ Self::HybridMedium => 256,
+ Self::Large => 384,
+ Self::HybridLarge => 384,
+ }
+ }
+ fn config(&self) -> mobilenetv4::Config {
+ match self {
+ Self::Small => mobilenetv4::Config::small(),
+ Self::Medium => mobilenetv4::Config::medium(),
+ Self::HybridMedium => mobilenetv4::Config::hybrid_medium(),
+ Self::Large => mobilenetv4::Config::large(),
+ Self::HybridLarge => mobilenetv4::Config::hybrid_large(),
+ }
+ }
+}
+
+#[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::Small)]
+ 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, args.which.resolution())?
+ .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 = mobilenetv4::mobilenetv4(&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(())
+}