Clippy fixes for 1.81.0. (#2461)

* Clippy fixes for 1.81.0.

* Another fix.

4 files changed, 7 insertions, 8 deletions

diff --git a/candle-examples/examples/musicgen/musicgen_model.rs b/candle-examples/examples/musicgen/musicgen_model.rs
index 03e96614..7fbe8b53 100644
--- a/candle-examples/examples/musicgen/musicgen_model.rs
+++ b/candle-examples/examples/musicgen/musicgen_model.rs
@@ -284,11 +284,11 @@ impl MusicgenDecoder {
         };
         let embed_dim = cfg.vocab_size + 1;
         let embed_tokens = (0..cfg.num_codebooks)
-            .map(|i| embedding(embed_dim, h, vb.pp(&format!("embed_tokens.{i}"))))
+            .map(|i| embedding(embed_dim, h, vb.pp(format!("embed_tokens.{i}"))))
             .collect::<Result<Vec<_>>>()?;
         let embed_positions = MusicgenSinusoidalPositionalEmbedding::load(vb.clone(), cfg)?;
         let layers = (0..cfg.num_hidden_layers)
-            .map(|i| MusicgenDecoderLayer::load(vb.pp(&format!("layers.{i}")), cfg))
+            .map(|i| MusicgenDecoderLayer::load(vb.pp(format!("layers.{i}")), cfg))
             .collect::<Result<Vec<_>>>()?;
         let layer_norm = layer_norm(h, 1e-5, vb.pp("layer_norm"))?;
         Ok(Self {
@@ -341,7 +341,7 @@ impl MusicgenForCausalLM {
         let h = cfg.hidden_size;
         let decoder = MusicgenDecoder::load(vb.pp("model.decoder"), cfg)?;
         let lm_heads = (0..cfg.num_codebooks)
-            .map(|i| linear_no_bias(h, cfg.vocab_size, vb.pp(&format!("lm_heads.{i}"))))
+            .map(|i| linear_no_bias(h, cfg.vocab_size, vb.pp(format!("lm_heads.{i}"))))
             .collect::<Result<Vec<_>>>()?;
         Ok(Self {
             decoder,
diff --git a/candle-examples/examples/silero-vad/main.rs b/candle-examples/examples/silero-vad/main.rs
index 4618ad80..20a0b7a2 100644
--- a/candle-examples/examples/silero-vad/main.rs
+++ b/candle-examples/examples/silero-vad/main.rs
@@ -8,7 +8,6 @@ use anyhow::Result;
 use clap::Parser;
 
 use candle::{DType, Tensor};
-use candle_onnx;
 
 #[derive(Clone, Debug, Copy, PartialEq, Eq, clap::ValueEnum)]
 enum Which {
diff --git a/candle-examples/examples/yolo-v3/darknet.rs b/candle-examples/examples/yolo-v3/darknet.rs
index 1892acdd..944f4dcb 100644
--- a/candle-examples/examples/yolo-v3/darknet.rs
+++ b/candle-examples/examples/yolo-v3/darknet.rs
@@ -123,7 +123,7 @@ fn conv(vb: VarBuilder, index: usize, p: usize, b: &Block) -> Result<(usize, Bl)
     let padding = if pad != 0 { (size - 1) / 2 } else { 0 };
     let (bn, bias) = match b.parameters.get("batch_normalize") {
         Some(p) if p.parse::<usize>()? != 0 => {
-            let bn = batch_norm(filters, 1e-5, vb.pp(&format!("batch_norm_{index}")))?;
+            let bn = batch_norm(filters, 1e-5, vb.pp(format!("batch_norm_{index}")))?;
             (Some(bn), false)
         }
         Some(_) | None => (None, true),
@@ -135,9 +135,9 @@ fn conv(vb: VarBuilder, index: usize, p: usize, b: &Block) -> Result<(usize, Bl)
         dilation: 1,
     };
     let conv = if bias {
-        conv2d(p, filters, size, conv_cfg, vb.pp(&format!("conv_{index}")))?
+        conv2d(p, filters, size, conv_cfg, vb.pp(format!("conv_{index}")))?
     } else {
-        conv2d_no_bias(p, filters, size, conv_cfg, vb.pp(&format!("conv_{index}")))?
+        conv2d_no_bias(p, filters, size, conv_cfg, vb.pp(format!("conv_{index}")))?
     };
     let leaky = match activation {
         "leaky" => true,
diff --git a/candle-examples/examples/yolo-v8/model.rs b/candle-examples/examples/yolo-v8/model.rs
index cecd4ce6..e1be1f3c 100644
--- a/candle-examples/examples/yolo-v8/model.rs
+++ b/candle-examples/examples/yolo-v8/model.rs
@@ -161,7 +161,7 @@ impl C2f {
         let cv2 = ConvBlock::load(vb.pp("cv2"), (2 + n) * c, c2, 1, 1, None)?;
         let mut bottleneck = Vec::with_capacity(n);
         for idx in 0..n {
-            let b = Bottleneck::load(vb.pp(&format!("bottleneck.{idx}")), c, c, shortcut)?;
+            let b = Bottleneck::load(vb.pp(format!("bottleneck.{idx}")), c, c, shortcut)?;
             bottleneck.push(b)
         }
         Ok(Self {