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[Perf] [MoE] optimize all2allv #3738

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[Perf] [MoE] optimize all2allv #3738

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27 changes: 5 additions & 22 deletions vllm_ascend/ops/moe/token_dispatcher.py
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Original file line number Diff line number Diff line change
Expand Up @@ -689,33 +689,16 @@ def _dispatch_postprocess(self, global_input_tokens,
if self.with_quant:
assert global_input_tokens_local_experts_indices is not None, \
"global_input_tokens_local_experts_indices must be provided"
expert_idx_2d = global_input_tokens_local_experts_indices.unsqueeze(
dynamic_scale_after_all2all, _ = torch_npu.npu_moe_token_permute(
dynamic_scale_after_all2all.unsqueeze(-1),
global_input_tokens_local_experts_indices)
dynamic_scale_after_all2all = dynamic_scale_after_all2all.squeeze(
-1)
active_num = global_input_tokens_local_experts_indices.numel()

if active_num <= 0:
reversed_global_input_permutation_mapping = global_input_tokens_local_experts_indices
return global_input_tokens, dynamic_scale_after_all2all, reversed_global_input_permutation_mapping

global_input_tokens, reversed_global_input_permutation_mapping, _, expanded_scale = torch_npu.npu_moe_init_routing_v2(
global_input_tokens,
expert_idx_2d,
scale=dynamic_scale_after_all2all,
active_num=active_num,
expert_capacity=0,
expert_num=self.num_local_experts,
expert_tokens_num_type=1,
expert_tokens_num_flag=True,
active_expert_range=[0, self.num_local_experts],
quant_mode=-1,
row_idx_type=0,
)
return global_input_tokens, expanded_scale, reversed_global_input_permutation_mapping

# Non-quantized case
global_input_tokens, reversed_global_input_permutation_mapping = torch_npu.npu_moe_token_permute(
global_input_tokens, global_input_tokens_local_experts_indices)
return global_input_tokens, None, reversed_global_input_permutation_mapping
return global_input_tokens, dynamic_scale_after_all2all, reversed_global_input_permutation_mapping

def _combine_preprocess(self, hidden_states: torch.Tensor,
context_metadata: dict) -> torch.Tensor:
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