更新README.md，修改Docker镜像版本和深度学习库依赖，删除多个示例文件以简化代码库。

examples/offline_inference_tpu.py

-from vllm import LLM, SamplingParams
-
-prompts = [
-    "A robot may not injure a human being",
-    "It is only with the heart that one can see rightly;",
-    "The greatest glory in living lies not in never falling,",
-]
-answers = [
-    " or, through inaction, allow a human being to come to harm.",
-    " what is essential is invisible to the eye.",
-    " but in rising every time we fall.",
-]
-N = 1
-# Currently, top-p sampling is disabled. `top_p` should be 1.0.
-sampling_params = SamplingParams(temperature=0.7,
-                                 top_p=1.0,
-                                 n=N,
-                                 max_tokens=16)
-
-# Set `enforce_eager=True` to avoid ahead-of-time compilation.
-# In real workloads, `enforace_eager` should be `False`.
-llm = LLM(model="google/gemma-2b", enforce_eager=True)
-outputs = llm.generate(prompts, sampling_params)
-for output, answer in zip(outputs, answers):
-    prompt = output.prompt
-    generated_text = output.outputs[0].text
-    print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
-    assert generated_text.startswith(answer)

examples/online_serving/chart-helm/.helmignore

+*.png
+.git/
+ct.yaml
+lintconf.yaml
+values.schema.json
+/workflows
\ No newline at end of file