Blocksparse.matmul result does not align with torch

[oleksost]

Hello,
in the following code the result returned by triton.ops.blocksparse.matmul and torch.einsum do not align (please nolayout consists of all ones).

My understanding is that both outputs should be the same.

Thank you in advance!

import torch
from triton.ops.blocksparse.matmul import matmul

NumHeads, SeqLen, BlockSize, Embed = 1, 64, 32, 128
layout = torch.ones(NumHeads, Embed // BlockSize, SeqLen // BlockSize).long()
q = torch.randn((1, NumHeads, SeqLen, Embed), dtype=torch.float32).contiguous().to('cuda')
k = torch.randn((1, NumHeads, Embed, SeqLen), dtype=torch.float32).contiguous().to('cuda')

mm = matmul(layout, BlockSize, mode='dds', device='cuda')
o_tn = mm(q,k)
o_torch = torch.einsum('bhsd,bhdo->bhso', q, k)

torch.allclose(o_tn, o_torch, atol=1e-1)