diff --git a/crates/yscv-tensor/src/shape.rs b/crates/yscv-tensor/src/shape.rs
index 044dc78..6f5f544 100644
--- a/crates/yscv-tensor/src/shape.rs
+++ b/crates/yscv-tensor/src/shape.rs
@@ -1,17 +1,32 @@
+use super::tensor::{DimsVec, INLINE_CAP};
+
 pub(crate) fn shape_element_count(shape: &[usize]) -> Option<usize> {
     shape
         .iter()
         .try_fold(1usize, |acc, dim| acc.checked_mul(*dim))
 }
 
-pub(crate) fn compute_strides(shape: &[usize]) -> Option<Vec<usize>> {
+pub(crate) fn compute_strides(shape: &[usize]) -> Option<DimsVec> {
+    if shape.len() <= INLINE_CAP {
+        let mut buf = [0usize; INLINE_CAP];
+        let mut stride = 1usize;
+        for axis in (0..shape.len()).rev() {
+            buf[axis] = stride;
+            stride = stride.checked_mul(shape[axis])?;
+        }
+        return Some(DimsVec::Inline {
+            buf,
+            len: shape.len() as u8,
+        });
+    }
+
     let mut strides = vec![0usize; shape.len()];
     let mut stride = 1usize;
     for axis in (0..shape.len()).rev() {
         strides[axis] = stride;
         stride = stride.checked_mul(shape[axis])?;
     }
-    Some(strides)
+    Some(DimsVec::Heap(strides))
 }
 
 pub(crate) fn broadcast_shape(left: &[usize], right: &[usize]) -> Option<Vec<usize>> {
diff --git a/crates/yscv-tensor/src/tensor.rs b/crates/yscv-tensor/src/tensor.rs
index 6b37a06..7b07e22 100644
--- a/crates/yscv-tensor/src/tensor.rs
+++ b/crates/yscv-tensor/src/tensor.rs
@@ -7,7 +7,7 @@ use super::shape::{compute_strides, shape_element_count};
 // ── Inline shape/strides storage (no heap alloc for ≤6D tensors) ─────────
 
 // WHY 6: covers all common tensor ranks (scalar(0)..conv weight(5)) without heap allocation.
-const INLINE_CAP: usize = 6;
+pub(crate) const INLINE_CAP: usize = 6;
 
 /// Stack-allocated small vector for tensor shape/strides.
 /// Stores up to 6 dimensions inline; falls back to heap for higher ranks.
@@ -267,7 +267,7 @@ impl Tensor {
 
         Ok(Self {
             shape: DimsVec::from(shape),
-            strides: DimsVec::from(strides),
+            strides,
             storage: Arc::new(Storage::F32(data)),
             device: Device::Cpu,
             layout: Layout::NCHW,
@@ -292,7 +292,7 @@ impl Tensor {
 
         Ok(Self {
             shape: DimsVec::from(shape),
-            strides: DimsVec::from(strides),
+            strides,
             storage: Arc::new(Storage::F32(AlignedVec::from_vec(data))),
             device: Device::Cpu,
             layout: Layout::NCHW,
@@ -315,7 +315,7 @@ impl Tensor {
         })?;
         Ok(Self {
             shape: DimsVec::from(shape),
-            strides: DimsVec::from(strides),
+            strides,
             storage: Arc::new(Storage::F16(data)),
             device: Device::Cpu,
             layout: Layout::NCHW,
@@ -338,7 +338,7 @@ impl Tensor {
         })?;
         Ok(Self {
             shape: DimsVec::from(shape),
-            strides: DimsVec::from(strides),
+            strides,
             storage: Arc::new(Storage::BF16(data)),
             device: Device::Cpu,
             layout: Layout::NCHW,
@@ -370,7 +370,7 @@ impl Tensor {
 
         Ok(Self {
             shape: DimsVec::from(shape),
-            strides: DimsVec::from(strides),
+            strides,
             storage: Arc::new(Storage::F32(AlignedVec::filled(count, value))),
             device: Device::Cpu,
             layout: Layout::NCHW,
@@ -391,7 +391,7 @@ impl Tensor {
 
         Ok(Self {
             shape: DimsVec::from(shape),
-            strides: DimsVec::from(strides),
+            strides,
             storage: Arc::new(Storage::F32(AlignedVec::calloc(count))),
             device: Device::Cpu,
             layout: Layout::NCHW,
@@ -631,7 +631,7 @@ impl Tensor {
 
         Ok(Self {
             shape: DimsVec::from(new_shape),
-            strides: DimsVec::from(new_strides),
+            strides: new_strides,
             storage: self.storage.clone(),
             device: self.device,
             layout: self.layout,
@@ -657,7 +657,7 @@ impl Tensor {
 
         Ok(Self {
             shape: DimsVec::from(new_shape),
-            strides: DimsVec::from(new_strides),
+            strides: new_strides,
             storage: self.storage,
             device: self.device,
             layout: self.layout,