sgl-project/sglang · error · ValueError
`a`/`b` must be contiguous in the last dim.
Error message
`a`/`b` must be contiguous in the last dim.
What it means
The kernel requires a and b contiguous in their last dimension (stride(-1)==1) for coalesced loads; strided views would silently read wrong data otherwise, so validation rejects them.
Source
Thrown at python/sglang/kernels/ops/attention/helion/kda_decode.py:239
A_log: torch.Tensor,
dt_bias: torch.Tensor,
initial_state: torch.Tensor,
out: torch.Tensor,
ssm_state_indices: torch.Tensor,
) -> tuple[int, int, int, int, int]:
"""Apply the shape and layout checks from SGLang's packed wrapper."""
if mixed_qkv.ndim != 2:
raise ValueError(
f"`mixed_qkv` must be a 2D tensor (got ndim={mixed_qkv.ndim})."
)
if mixed_qkv.stride(-1) != 1:
raise ValueError("`mixed_qkv` must be contiguous in the last dim.")
if a.ndim != 2 or b.ndim != 2:
raise ValueError(
f"`a` and `b` must be 2D tensors (got a.ndim={a.ndim}, b.ndim={b.ndim})."
)
if a.stride(-1) != 1 or b.stride(-1) != 1:
raise ValueError("`a`/`b` must be contiguous in the last dim.")
if A_log.ndim != 1 or dt_bias.ndim != 1:
raise ValueError("`A_log`/`dt_bias` must be 1D tensors.")
if A_log.stride(0) != 1 or dt_bias.stride(0) != 1:
raise ValueError("`A_log`/`dt_bias` must be contiguous.")
if ssm_state_indices.ndim != 1:
raise ValueError(
"`ssm_state_indices` must be 1D for packed decode "
f"(got ndim={ssm_state_indices.ndim})."
)
if not out.is_contiguous():
raise ValueError("`out` must be contiguous.")
device = mixed_qkv.device
if any(
tensor.device != device
for tensor in (
a,
b,View on GitHub (pinned to 0132848349)
Solutions
- Apply .contiguous() to a and b
- Produce a/b from a fresh contiguous allocation
Example fix
# before out = decode(qkv, a[:, :d], b[:, :d], ...) # after out = decode(qkv, a[:, :d].contiguous(), b[:, :d].contiguous(), ...)
Defensive patterns
Strategy: validation
Validate before calling
a = a.contiguous() if a.stride(-1) != 1 else a b = b.contiguous() if b.stride(-1) != 1 else b
Prevention
- Never pass sliced gate tensors directly; copy first
- Add a contiguity pass in the decode prep function
When it happens
Trigger: Passing a or b as a sliced/transposed view with last-dim stride != 1.
Common situations: Slicing per-head portions of a fused projection output; passing transposed tensors.
Related errors
- `mixed_qkv` must be contiguous in the last dim.
- `A_log`/`dt_bias` must be contiguous.
- `out` must be contiguous.
- `mixed_qkv` must be a 2D tensor (got ndim={mixed_qkv.ndim}).
- `a` and `b` must be 2D tensors (got a.ndim={a.ndim}, b.ndim=
AI-assisted analysis of sgl-project/sglang@0132848349 (2026-08-28).
Data as JSON: /api/errors/9f894a54bce66676.
Report an issue: GitHub.