add qwen3

vllm-v0.6.2/examples/cambricon_custom_func/context_parallel/offline_inference.py

@@ -0,0 +1,25 @@
+import os
+os.environ['CONTEXT_PARALLEL_EN'] = "True"
+
+from vllm import LLM, SamplingParams
+
+if __name__ == '__main__':
+    # Sample prompts.
+    prompts = [
+        "Hello, my name is",
+        "The president of the United States is",
+        "The capital of France is",
+        "The future of AI is",
+    ]
+    # Create a sampling params object.
+    sampling_params = SamplingParams(temperature=0.8, max_tokens=16)
+    # Create an LLM.
+    llm = LLM(model="/data/AE/llm/models/Llama-2-7b-hf/", enforce_eager=True, tensor_parallel_size = 2, context_parallel_size = 2, distributed_executor_backend='ray')
+    # Generate texts from the prompts. The output is a list of RequestOutput objects
+    # that contain the prompt, generated text, and other information.
+    outputs = llm.generate(prompts, sampling_params)
+    # Print the outputs.
+    for output in outputs:
+        prompt = output.prompt
+        generated_text = output.outputs[0].text
+        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")