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[Kernel][Minor] Re-fuse triton moe weight application (#16071)

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Signed-off-by: Bill Nell <bnell@redhat.com>
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bnellnm 2025-04-04 19:27:34 -04:00 committed by GitHub
parent af51d80fa1
commit d6fc629f4d
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1 changed files with 18 additions and 24 deletions
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10
vllm/model_executor/layers/fused_moe/fused_moe.py
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@ -1297,8 +1297,7 @@ def fused_experts_impl(hidden_states: torch.Tensor,
qintermediate_cache2 = intermediate_cache2
a2q_scale = a2_scale
invoke_fused_moe_kernel(
qintermediate_cache2,
invoke_fused_moe_kernel(qintermediate_cache2,
w2,
intermediate_cache3,
a2q_scale,
@ -1308,7 +1307,7 @@ def fused_experts_impl(hidden_states: torch.Tensor,
sorted_token_ids,
expert_ids,
num_tokens_post_padded,
False, #True,
True,
1,
config,
compute_type=compute_type,
@ -1317,11 +1316,6 @@ def fused_experts_impl(hidden_states: torch.Tensor,
use_int4_w4a16=use_int4_w4a16,
block_shape=block_shape)
if True:
intermediate_cache3 = intermediate_cache3.view(-1, top_k_num, K)
intermediate_cache3.mul_(
curr_topk_weights.view(tokens_in_chunk, -1, 1))
ops.moe_sum(intermediate_cache3.view(*intermediate_cache3.shape),
out_hidden_states[begin_chunk_idx:end_chunk_idx])