code: def is_compatible(self, verbose=True):
      try:
          import torch
      except ImportError:
          self.warning(
              "Please install torch if trying to pre-compile kernels"
          )
          return False
      if self.cutlass_path is None:
          self.warning(
              "Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH"
          )
          return False
      with open(f"{self.cutlass_path}/CHANGELOG.md", "r") as f:
          if "3.1.0" not in f.read():
              self.warning("Please use CUTLASS version >= 3.1.0")
              return False
      cuda_okay = True
      if (
          not self.is_rocm_pytorch() and torch.cuda.is_available()
      ):  # ignore-cuda
          sys_cuda_major, _ = installed_cuda_version()
          torch_cuda_major = int(torch.version.cuda.split(".")[0])
          cuda_capability = torch.cuda.get_device_properties(
              0
          ).major  # ignore-cuda
          if cuda_capability < 7:
              self.warning(
                  "Please use a GPU with compute capability >= 7.0"
              )
              cuda_okay = False
          if torch_cuda_major < 11 or sys_cuda_major < 11:
              self.warning("Please use CUDA 11+")
              cuda_okay = False
      return super().is_compatible(verbose) and cuda_okay
  
file_path: deepspeed/deepspeed/ops/op_builder/evoformer_attn.py
imports: from .builder import CUDAOpBuilder, installed_cuda_version
  import os
label_desc: Use image node_id 6 for calling the EvoformerAttnBuilder obj's underlying member method code with example usage: obj.is_compatible(verbose) and returns: unknown, False, False, False