Delete run.py

run.py

@@ -1,43 +0,0 @@
-import transformers
-import torch
-from modelscope import snapshot_download
-
-model_id = snapshot_download("LLM-Research/Llama-3.3-70B-Instruct")
-
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model_id,
-    model_kwargs={"torch_dtype": torch.bfloat16},
-    device_map="auto",
-)
-
-messages = [
-    {"role": "system", "content": "You are a pirate chatbot who always responds in pirate speak!"},
-    {"role": "user", "content": "Who are you?"},
-]
-
-
-with torch.profiler.profile(
-    activities=[
-        torch.profiler.ProfilerActivity.CPU,
-        # torch.profiler.ProfilerActivity.CUDA, # 捕捉 aten function 的调用仅开 CPU 就够了
-    ],
-    #record_shapes=True,
-    #with_stack=True,    
-) as p:
-    outputs = pipeline(
-        messages,
-        max_new_tokens=256,
-    )
-    print(outputs[0]["generated_text"][-1])
-
-table_str = p.key_averages().table(
-    sort_by="count", 
-    row_limit=-1, 
-    max_src_column_width=100, 
-    max_name_column_width=100, # 限制列宽
-)
-with open("Llama-3.3-70B-Instruct.txt", 'wt') as f:
-    f.write(table_str)
-
-