目录linux 看哪些环境vllm安装linux 检测哪些环境 torch 和cuda可用测试transformerslinux 看哪些环境vllm安装conda env list | grep -v ^# | grep -v ^$ | while read line; do env$(echo $line | awk {print $1}); if [[ $env /* ]]; then version$(conda list -p $env 2/dev/null | grep vllm | awk {print $2}); if [ -n $version ]; then echo 路径 $env: vLLM $version ✅; fi else version$(conda list -n $env 2/dev/null | grep vllm | awk {print $2}); if [ -n $version ]; then echo $env: vLLM $version ✅; fi fi; done conda env list | grep -v ^# | grep -v ^$ | while read line; do env$(echo $line | awk {print $1}); if [[ $env /* ]]; then echo -n 路径 $env: ; conda list -p $env 2/dev/null | grep -q vllm echo ✅ 已安装 || echo ❌ 未安装; else echo -n $env: ; conda list -n $env 2/dev/null | grep -q vllm echo ✅ 已安装 || echo ❌ 未安装; fi; donelinux 检测哪些环境 torch 和cuda可用返回环境路径conda env list | grep -v ^# | grep -v ^$ | while read -r _ path; do [ -z $path ] continue py$path/bin/python if [ ! -x $py ]; then echo $path: ❌ 无 python continue fi result$($py -c import importlib.util if importlib.util.find_spec(torch) is None: print(❌ 未安装 torch) else: import torch tv torch.__version__ cv torch.version.cuda or CPU-only if torch.cuda.is_available(): print(f✅ torch {tv} | CUDA {cv} | GPU: {torch.cuda.get_device_name(0)}) else: print(f⚠️ torch {tv} | CUDA {cv} | CUDA 不可用) 2/dev/null) [ -z $result ] result❌ 检测失败 echo $path: $result done测试transformersimport transformers.masking_utilsfrom transformers.modeling_rope_utils import rope_config_validationconda env list | grep -v ^# | grep -v ^$ | while read -r _ path; do [ -z $path ] continue py$path/bin/python [ ! -x $py ] { echo $path: ❌ 无 python; continue; } result$($py -c import importlib.util if importlib.util.find_spec(transformers) is None: print(❌ 未安装 transformers) else: import transformers tv transformers.__version__ r1 r2 try: from transformers.modeling_rope_utils import rope_config_validation r1 rope_utils ✅ except Exception as e: r1 frope_utils ❌ ({type(e).__name__}) try: from transformers.masking_utils import create_causal_mask r2 masking_utils ✅ except Exception as e: r2 fmasking_utils ❌ ({type(e).__name__}) print(ftransformers {tv} | {r1} | {r2}) 2/dev/null) [ -z $result ] result❌ 检测失败 echo $path: $result done
