code: def max(tensor, axis=None):
      if axis is None:
          return torch.max(tensor)
      else:
          return torch.max(tensor, dim=axis)[0]
  
imports: from packaging.version import Version
  import numpy
  from .core import Backend, backend_types, backend_basic_math, backend_array
label_desc: Use image node_id 16 for calling the PyTorchBackend obj's underlying member method code with example usage: obj.max(tensor, axis) and returns: torch, torch