time_stats.moe_gating_linear.min,time_stats.moe_gating_linear.max,time_stats.moe_gating_linear.mean,time_stats.moe_gating_linear.median,time_stats.moe_gating_linear.std,time_stats.moe_gating_routing_topk.min,time_stats.moe_gating_routing_topk.max,time_stats.moe_gating_routing_topk.mean,time_stats.moe_gating_routing_topk.median,time_stats.moe_gating_routing_topk.std,time_stats.moe_shuffling.min,time_stats.moe_shuffling.max,time_stats.moe_shuffling.mean,time_stats.moe_shuffling.median,time_stats.moe_shuffling.std,time_stats.moe_grouped_gemm.min,time_stats.moe_grouped_gemm.max,time_stats.moe_grouped_gemm.mean,time_stats.moe_grouped_gemm.median,time_stats.moe_grouped_gemm.std,num_tokens,num_experts,num_experts_per_device,expert_parallel_size,routing_runtime_path,routing_assignment_policy,routing_weight_policy,routing_uses_router_logits,gating_runtime_context,gating_runtime_context_impl,router_topk,hidden_dim,expert_hidden_dim,use_gated,num_tensor_parallel_workers,total_routed_tokens,model_expansion_ratio,tokens_per_expert_avg,tokens_to_experts_ratio,expert_utilization,min_load_ratio,load_imbalance_cv,max_load_ratio,load_entropy,load_gini_coefficient,load_distribution,seed,moe_grouped_gemm_backend,measurement_type,profiling_precision,model_arch,quant_signature
0.03097599931061268,0.049056001007556915,0.03467839974910021,0.03254400007426739,0.005093522706269737,0.05193600058555603,0.08419200032949448,0.06054240055382252,0.05641600117087364,0.009051489911083033,0.025919999927282333,0.04064000025391579,0.030527999717742206,0.030608000233769417,0.0040231266205605675,0.29603201150894165,0.3494400084018707,0.3075023889541626,0.30137598514556885,0.014090820215642452,16,128,128,1,standard_fused_topk,logit_topk,softmax_renorm,True,prefill_hot,ffn_like_prefix_20x,8,4096,1536,True,4,128,0.375,1.0,1.0,0.609375,0.0,1.0231690964840563,4.0,6.122626857503489,0.5433349609375,uniform,0,vllm_fused,CUDA_EVENT,BF16,generic,method=fp8|act=dynamic|serialized=True|block=128x128