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6 changes: 4 additions & 2 deletions python/sglang/srt/layers/attention/wave_backend.py
Original file line number Diff line number Diff line change
Expand Up @@ -326,12 +326,14 @@ def init_cuda_graph_state(
self, max_bs: int, kv_indices_buf: Optional[torch.Tensor] = None
):
self.cuda_graph_attn_logits = torch.zeros(
(max_bs, self.num_head, self.max_kv_splits, self.v_head_dim),
(self.max_kv_splits, max_bs, self.v_head_dim, self.num_head),
# (max_bs, self.num_head, self.max_kv_splits, self.v_head_dim),
dtype=torch.float32,
device=self.device,
)
self.cuda_graph_attn_lse = torch.zeros(
(max_bs, self.num_head, self.max_kv_splits),
(self.max_kv_splits, max_bs, self.num_head),
# (max_bs, self.num_head, self.max_kv_splits),
dtype=torch.float32,
device=self.device,
)
Expand Down
11 changes: 8 additions & 3 deletions python/sglang/srt/layers/attention/wave_ops/decode_attention.py
Original file line number Diff line number Diff line change
Expand Up @@ -643,6 +643,11 @@ def decode_attention_fwd_grouped(
_decode_softmax_reducev_fwd(attn_logits, q, o, v_buffer, b_seq_len, num_kv_splits)


def view_trunc(tensor, shape):
size = math.prod(shape)
return tensor.view(-1)[:size].view(shape)


def decode_attention_wave(
q,
k_buffer,
Expand Down Expand Up @@ -673,8 +678,8 @@ def decode_attention_wave(
seq_len,
)

k_buffer = k_buffer.view(num_seqs, seq_len, num_kv_heads, head_size)
v_buffer = v_buffer.view(num_seqs, seq_len, num_kv_heads, head_size_kv)
k_buffer = view_trunc(k_buffer, (num_seqs, seq_len, num_kv_heads, head_size))
v_buffer = view_trunc(v_buffer, (num_seqs, seq_len, num_kv_heads, head_size_kv))

# Get the kernels (either compile or load from cache).
if mha:
Expand Down Expand Up @@ -765,7 +770,7 @@ def decode_attention_fwd(
sm_scale,
logit_cap=0.0,
):
assert max_kv_splits == attn_logits.shape[2]
# assert max_kv_splits == attn_logits.shape[2]
decode_attention_wave(
q,
k_buffer,
Expand Down
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