under test, not sure no errors

upstream_ref/xllm/examples/generate_embedding.py

@@ -0,0 +1,30 @@
+# python examples/generate_embedding.py --model='/path/models/Qwen3-8B' --devices='npu:0' --runner pooling
+# python generate_embedding.py --model='/path/models/Qwen3-8B' --devices='npu:0,npu:1'
+
+from xllm import ArgumentParser, LLM, PoolingParams
+
+# Create an embedding LLM.
+parser = ArgumentParser()
+args = parser.parse_args()
+llm = LLM(**vars(args))
+
+# Create pooling params.
+pooling_params = PoolingParams()
+
+inputs = [
+    "Hello, my name is",
+    "The president of the United States is",
+    "The capital of France is",
+    "The future of AI is",
+]
+
+outputs = llm.embed(inputs, pooling_params=pooling_params)
+
+# Print the outputs.
+for i, output in enumerate(outputs):
+    input_str = output.prompt
+    generated_embedding = output.outputs.embedding
+    print(f"Input: {input_str!r}, Generated embedding: {generated_embedding!r}")
+
+llm.finish()
+