已有环境：ubuntu20.04 + pytorch2.0.0+cu118 可运行

具体报错内容：

error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [13 lines of output]
      /tmp/pip-install-fyu9ily_/causal-conv1d_89a6750dd63942539383a9b3bc6c4b2a/setup.py:74: UserWarning: causal_conv1d was requested, but nvcc was not found.  Are you sure your environment has nvcc available?  If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.
        warnings.warn(
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-fyu9ily_/causal-conv1d_89a6750dd63942539383a9b3bc6c4b2a/setup.py", line 108, in <module>
          if bare_metal_version >= Version("11.8"):
      NameError: name 'bare_metal_version' is not defined
      
      
      torch.__version__  = 2.0.0+cu118
      
      
      [end of output]

原因：缺少cuda118的环境版本，直接安装 nvidia/label/cuda-11.8.0 可解决，代码如下：

conda install -c "nvidia/label/cuda-11.8.0" cuda-nvcc

参考：[最佳实践] conda环境内安装cuda 和 Mamba的安装