[Misc][MoE] add Deepseek-V3 moe tuning support (vllm-project#12558)

Signed-off-by: Divakar Verma <divakar.verma@amd.com>

Author: divakar-amd

benchmarks/kernels/benchmark_moe.py

@@ -450,7 +450,8 @@ def save_configs(configs: Dict[int, BenchmarkConfig], num_experts: int,
 def main(args: argparse.Namespace):
     print(args)
 
-    config = AutoConfig.from_pretrained(args.model)
+    config = AutoConfig.from_pretrained(
+        args.model, trust_remote_code=args.trust_remote_code)
     if config.architectures[0] == "DbrxForCausalLM":
         E = config.ffn_config.moe_num_experts
         topk = config.ffn_config.moe_top_k
@@ -461,6 +462,11 @@ def main(args: argparse.Namespace):
         topk = config.num_experts_per_tok
         intermediate_size = config.intermediate_size
         shard_intermediate_size = 2 * intermediate_size // args.tp_size
+    elif config.architectures[0] == "DeepseekV3ForCausalLM":
+        E = config.n_routed_experts
+        topk = config.num_experts_per_tok
+        intermediate_size = config.moe_intermediate_size
+        shard_intermediate_size = 2 * intermediate_size // args.tp_size
     else:
         # Default: Mixtral.
         E = config.num_local_experts
@@ -538,6 +544,7 @@ def _distribute(method: str, inputs: List[Any]) -> List[Any]:
     parser.add_argument("--seed", type=int, default=0)
     parser.add_argument("--batch-size", type=int, required=False)
     parser.add_argument("--tune", action="store_true")
+    parser.add_argument("--trust-remote-code", action="store_true")
     args = parser.parse_args()
 
     main(args)