class_docstr: Wrapper around nn.Module that prints registered buffers and parameter names.
class_docstr_tok: ["Wrapper","around","nn.Module","that","prints","registered","buffers","and","parameter","names","."]
code: def get_readable_tensor_repr(name: str, tensor: torch.Tensor) -> str:
      st = (
          "("
          + name
          + "): "
          + "tensor("
          + str(tuple(tensor[1].shape))
          + ", requires_grad="
          + str(tensor[1].requires_grad)
          + ")\n"
      )
      return st
  
imports: import einops
  import numpy
  import torch
  import torch.nn
label_desc: Use image node_id 1 for calling the VerboseNNModule obj's underlying member method code with example usage: obj.get_readable_tensor_repr(name, tensor) and returns: st