diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 3779e44..3762d98 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -116,8 +116,8 @@ jobs:
       env:
         CARGO_ALIAS_CLIPPYALL: clippy --workspace
       run: |
-        cargo hack --feature-powerset --skip default,learn,dataset,iris,mnist clippyall --all-targets -v -- -D warnings
-        cargo clippy --no-default-features --features iris,mnist --all-targets -v -- -D warnings
+        cargo hack --feature-powerset --skip default,learn,dataset,iris,mnist clippyall --all-targets -v -- -D warnings -A unexpected_cfgs
+        cargo clippy --no-default-features --features iris,mnist --all-targets -v -- -D warnings -A unexpected_cfgs
     - name: rustdoc
       run: |
         cargo rustdoc -p autograph_derive -- -D warnings
diff --git a/src/learn/neural_network/layer/conv_direct.rs b/src/learn/neural_network/layer/conv_direct.rs
index f163324..d45d30a 100644
--- a/src/learn/neural_network/layer/conv_direct.rs
+++ b/src/learn/neural_network/layer/conv_direct.rs
@@ -971,8 +971,8 @@ impl Conv2DirectBackwardInputHostF32Kernel<8> for () {
         dx: &mut [[f32; 8]],
         iw: usize,
     ) {
-        let twy = if UNROLL { TWY } else { twy.max(1).min(TWY) };
-        let tcy = tcy.max(1).min(8);
+        let twy = if UNROLL { TWY } else { twy.clamp(1, TWY) };
+        let tcy = tcy.clamp(1, 8);
         let mut dy_packed = [f32x8::default(); TWY];
         let mut dx_packed = [f32x8::default(); TWY];
         for (fi, w) in w.chunks_exact(fw).enumerate() {
@@ -1012,8 +1012,8 @@ impl Conv2DirectBackwardInputHostF32Kernel<1> for () {
         dx: &mut [[f32; 1]],
         iw: usize,
     ) {
-        let twy = if UNROLL { TWY } else { twy.max(1).min(TWY) };
-        let tcy = tcy.max(1).min(8);
+        let twy = if UNROLL { TWY } else { twy.clamp(1, TWY) };
+        let tcy = tcy.clamp(1, 8);
         let mut dy_packed = f32x8::default();
         let mut dx_packed = f32x8::default();
         for (fi, w) in w.chunks_exact(fw).enumerate() {
diff --git a/src/tensor.rs b/src/tensor.rs
index 3b36f24..3675ab1 100644
--- a/src/tensor.rs
+++ b/src/tensor.rs
@@ -220,7 +220,7 @@ fn size_of_shape_checked<D: Dimension>(dim: &D) -> Result<usize, ShapeError> {
         .filter(|&&d| d != 0)
         .try_fold(1usize, |acc, &d| acc.checked_mul(d))
         .ok_or_else(|| ShapeError::from_kind(ErrorKind::Overflow))?;
-    if size_nonzero > ::std::isize::MAX as usize {
+    if size_nonzero > isize::MAX as usize {
         Err(ShapeError::from_kind(ErrorKind::Overflow))
     } else {
         Ok(dim.size())
diff --git a/src/tensor/ops.rs b/src/tensor/ops.rs
index 5ddf811..c124b56 100644
--- a/src/tensor/ops.rs
+++ b/src/tensor/ops.rs
@@ -161,6 +161,7 @@ impl<T: Scalar, S: Data<Elem = T>, D: Dimension> TensorBase<S, D> {
     /// - On device, supports up to 6 dimensional inputs.
     /// - [`DeviceLost`]
     /// - The kernel could not be dispatched.
+    ///
     /// See [`.into_owned()`](TensorBase::into_owned()).
     pub fn into_standard_layout(self) -> Result<Tensor<T, D>> {
         if self.is_standard_layout() {