fixes cache miss and addresses static arg in BCOO dynamic slice

jax/experimental/sparse/bcoo.py

@@ -2034,6 +2034,7 @@ def bcoo_dynamic_slice(mat: BCOO, start_indices: Sequence[Any], slice_sizes: Seq
   Returns:
     out: BCOO array containing the slice.
   """
+  slice_sizes = tuple(operator.index(i) for i in slice_sizes)
   # Use abstract eval to validate inputs.
   jax.jit(lax.dynamic_slice, static_argnames=("slice_sizes",)).eval_shape(
           jax.ShapeDtypeStruct(mat.shape, mat.dtype), start_indices,
@@ -2043,7 +2044,6 @@ def bcoo_dynamic_slice(mat: BCOO, start_indices: Sequence[Any], slice_sizes: Seq
   start_indices = tuple(jnp.asarray(i) for i in start_indices)
   assert all(jnp.issubdtype(i.dtype, np.integer) for i in start_indices)
   assert all(i.shape == () for i in start_indices)
-  slice_sizes = tuple(operator.index(i) for i in slice_sizes)
   if len(start_indices) != len(slice_sizes) != mat.ndim:
     raise ValueError(f"bcoo_dynamic_slice: indices must have size mat.ndim={mat.ndim}")
   if not all(0 <= slice_size <= axis_size for slice_size, axis_size in zip(slice_sizes, mat.shape)):