Sync v2.0 version of code to github repo

fastdeploy/demo/offline_disaggregated_demo.py

@@ -0,0 +1,63 @@
+"""
+# Copyright (c) 2025  PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+
+import time
+import os
+import subprocess
+import signal
+
+from fastdeploy.entrypoints.llm import LLM
+from fastdeploy.engine.sampling_params import SamplingParams
+
+
+model_name_or_path = "./models/eb45t02/"
+
+
+
+prefill_cmd = (f"FD_LOG_DIR=log_prefill CUDA_VISIBLE_DEVICES=0,1,2,3 python fastdeploy.entrypoints.openai.api_server.py"
+    + f" --model {model_name_or_path} --port 9811"
+    + f" --splitwise-role prefill --tensor-parallel-size 4"
+    + f" --engine-worker-queue-port 6676 --cache-queue-port 55663")
+
+prefill_instance = subprocess.Popen(
+        prefill_cmd,
+        stdout=subprocess.PIPE,
+        shell=True,
+        preexec_fn=os.setsid,
+    )
+
+
+
+
+# # 超参设置
+os.environ["CUDA_VISIBLE_DEVICES"] = "4,5,6,7"
+os.environ["FD_LOG_DIR"] = "log_decode"
+sampling_params = SamplingParams(temperature=0.1, max_tokens=30)
+llm_decode = LLM(
+    model=model_name_or_path, 
+    tensor_parallel_size=4, 
+    splitwise_role="decode",
+    engine_worker_queue_port=6678, 
+    innode_prefill_ports=[6676],
+    cache_queue_port=55668
+    )
+
+
+output = llm_decode.generate(prompts=["who are you？", "what can you do？"], use_tqdm=True)
+print(output)
+
+
+os.killpg(prefill_instance.pid, signal.SIGTERM)