class_docstr: Completely static backend that mimics part of normal backend functionality
  but restricted to be within torchscript.
code: def is_float_type(x):
      return x.dtype in [
          torch.float16,
          torch.float32,
          torch.float64,
          torch.bfloat16,
      ]
  
file_path: einops/einops/_torch_specific.py
imports: import warnings
  from typing import Dict, List, Tuple
  import torch
  from einops.einops import TransformRecipe, _reconstruct_from_shape_uncached
label_desc: Use image node_id 6 for calling the TorchJitBackend obj's underlying member method code with example usage: obj.is_float_type(x) and returns: unknown