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Remove cumsum_buffer initilization (#7439)

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This commit is contained in:
Ke Bao
2025-06-24 17:22:16 +08:00
committed by GitHub
parent 2ed68d7a6c
commit 7151194bb2
1 changed files with 7 additions and 2 deletions
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9
python/sglang/srt/layers/moe/fused_moe_triton/fused_moe.py
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@@ -750,9 +750,11 @@ def moe_align_block_size(
by block_size for proper block matrix operations. by block_size for proper block matrix operations.
""" """
max_num_tokens_padded = topk_ids.numel() + num_experts * (block_size - 1) max_num_tokens_padded = topk_ids.numel() + num_experts * (block_size - 1)
sorted_ids, cumsum_buffer = init_sorted_ids_and_cumsum_buffer( sorted_ids = torch.empty(
max_num_tokens_padded, topk_ids.numel(), num_experts, topk_ids.device (max_num_tokens_padded,), dtype=torch.int32, device=topk_ids.device
) )
sorted_ids.fill_(topk_ids.numel())
max_num_m_blocks = triton.cdiv(max_num_tokens_padded, block_size) max_num_m_blocks = triton.cdiv(max_num_tokens_padded, block_size)
expert_ids = torch.empty( expert_ids = torch.empty(
(max_num_m_blocks,), dtype=torch.int32, device=topk_ids.device (max_num_m_blocks,), dtype=torch.int32, device=topk_ids.device
@@ -768,6 +770,9 @@ def moe_align_block_size(
num_tokens_post_pad, num_tokens_post_pad,
) )
else: else:
cumsum_buffer = torch.empty(
(num_experts + 1,), dtype=torch.int32, device=topk_ids.device
)
token_cnts_buffer = torch.empty( token_cnts_buffer = torch.empty(
(num_experts + 1) * num_experts, (num_experts + 1) * num_experts,
dtype=torch.int32, dtype=torch.int32,