ci/Fix `cargo clippy` action (#942)

.github/workflows/test.yml

@@ -89,7 +89,10 @@ jobs:
           github_token: ${{ secrets.GITHUB_TOKEN }}
           # Run clippy for each workspace, targets, and featrues, considering
           # warnings as errors
-          clippy_flags: --workspace --all-targets --all-features -- -D warnings
+          clippy_flags: --all-targets -- -Dwarnings
+          # Do not filter results
+          filter_mode: nofilter
+          # Report clippy annotations as snippets
           reporter: github-pr-check
 
       - name: Install grcov

backend-comparison/benches/custom_gelu.rs

@@ -52,9 +52,7 @@ where
     Erf: Fn(Tensor<B, D>) -> Tensor<B, D>,
 {
     let x = x.clone() * (erf(x / SQRT_2) + 1);
-    let result = x / 2;
+    x / 2
-
-    result
 }
 
 fn erf_custom<B: Backend, const D: usize>(x: Tensor<B, D>) -> Tensor<B, D> {
@@ -81,7 +79,7 @@ fn erf_positive<B: Backend, const D: usize>(x: Tensor<B, D>) -> Tensor<B, D> {
     let t = x1.recip();
     let tmp = (((((t.clone() * a5) + a4) * t.clone()) + a3) * t.clone() + a2) * t.clone() + a1;
 
-    return -(tmp * t * (-x.clone() * x).exp()) + 1.0;
+    -(tmp * t * (-x.clone() * x).exp()) + 1.0
 }
 
 #[allow(dead_code)]

burn-import/onnx-tests/tests/onnx_tests.rs

@@ -551,8 +551,11 @@ mod tests {
     fn linear() {
         // Initialize the model with weights (loaded from the exported file)
         let model: linear::Model<Backend> = linear::Model::default();
+        #[allow(clippy::approx_constant)]
         let input1 = Tensor::<Backend, 2>::full([4, 3], 3.14);
+        #[allow(clippy::approx_constant)]
         let input2 = Tensor::<Backend, 2>::full([2, 5], 3.14);
+        #[allow(clippy::approx_constant)]
         let input3 = Tensor::<Backend, 3>::full([3, 2, 7], 3.14);
 
         let (output1, output2, output3) = model.forward(input1, input2, input3);

burn-tensor/src/tests/ops/slice.rs

@@ -131,6 +131,7 @@ mod tests {
         let data = Data::from([0.0, 1.0, 2.0]);
         let tensor = Tensor::<TestBackend, 1>::from_data(data.clone());
 
+        #[allow(clippy::reversed_empty_ranges)]
         let data_actual = tensor.slice([2..1]).into_data();
 
         assert_eq!(data, data_actual);

examples/image-classification-web/build.rs

@@ -36,7 +36,7 @@ fn main() {
 fn generate_labels_from_txt_file() -> std::io::Result<()> {
     let out_dir = env::var("OUT_DIR").unwrap();
     let dest_path = Path::new(&out_dir).join(LABEL_DEST_FILE);
-    let mut f = File::create(&dest_path)?;
+    let mut f = File::create(dest_path)?;
 
     let file = File::open(LABEL_SOURCE_FILE)?;
     let reader = BufReader::new(file);

xtask/src/runchecks.rs

@@ -120,7 +120,7 @@ fn cargo_clippy() {
     // Run cargo clippy
     run_cargo(
         "clippy",
-        ["--color=always", "--", "-D", "warnings"].into(),
+        ["--color=always", "--all-targets", "--", "-D", "warnings"].into(),
         "Failed to run cargo clippy",
     );
 }