code: def _tensor_str(self, indent):
      if self.numel() == 0:
          return "[]"
      summarize = self.numel() > PRINT_OPTS.threshold
      # summarize = self.size_dim > PRINT_OPTS.threshold
  
      # if self.dtype is torch.float16 or self.dtype is torch.bfloat16:
      #     self = self.float()
  
      formatter = _Formatter(
          get_summarized_data(self) if summarize else self
      )
  
      x = _tensor_str_with_formatter(self, indent, summarize, formatter)
  
      return x
  
file_path: caer/caer/coreten/_tensor_str.py
imports: import math
  import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: _tensor_str(indent) and returns: x, str